Kodo card is a corporate card for new economy businesses in India

Kodo

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KODA's Milestone in Digital Asset Custody By handling over 8 trillion won, or over $6 billion USD in assets under management, Korea Digital Asset Custodian (KODA) has accomplished a noteworthy milestone and demonstrated its leadership in digital asset custody in APAC region. This accomplishment showcases the worldwide influence and robust presence of KODA in the digital financial industry in South Korea. With the help of Hashed, Haechi Labs, and KB Kookmin Bank, this financial giant has made KODA a reliable and secure partner for over 50 corporate clients that manage over 200 wallets. There is more development to be made by the country. With the scheduled enactment in June 2024, the Digital Asset Basic Act (DABA) will usher South Korea into a future where blockchain technology is not merely an experimental element but an essential part of the financial sector. It will do this by creating regulations for exchanges and creating new markets for digital securities. The Korea Digital Asset Custodian (KODA) catapulted to the forefront an 80% command of the nation's market share by June 2023. signifying Furthermore, the established financial institutions are actively embracing the shift rather than merely observing it. By acquiring shares in KDAC, Shinhan Bank is demonstrating how traditional banking and cutting-edge blockchain technology can coexist. With these organizations realizing how important custodians like KODA are to the management and protection of assets in this emerging industry, South Korea is establishing itself as a global leader in digital finance. Alongside the acceleration, cultural innovation is also being witnessed, as businesses like as Cube Entertainment are entering the metaverse, creating a "K-culture complex" in The Sandbox, and fusing entertainment and digital assets together. It's evident how South Korea is leading the way in the digital asset revolution rather than merely taking part in it. Growth and Leadership KODA was formed in November 2020 by Hashed, KB Kookmin Bank, and Haechi Labs. The corporation went from having 2.3 trillion won in assets under control to 8 trillion won in just six months. KODA now holds an 80% market share in South Korea's digital asset custody industry, with more than 200 wallets and 50 corporate clients. Strategic Leadership Combining his knowledge of technology and banking, CEO Jo Jin-seok guides KODA through the challenging world of digital finance. With a foundation of strict security and compliance to rules, his leadership cultivates innovation and gets KODA ready for impending changes in the business. Maintaining the company's development and innovation depends on such forward-thinking governance. Adjusting to Regulatory Shifts In light of the impending elections in South Korea, which may signal policy shifts, KODA is actively working to create a regulatory environment that is favorable to digital finance while promoting investor safety. Political parties' corporate digital investments and the launch of Bitcoin spot ETFs signal a potential revolution in the market. Participating in these talks and being adaptable to changing legislation demonstrate KODA's dedication to institutionalizing digital assets, which benefits the firm as well as fostering a more safe and lively market. Global Influence and Vision The global trend towards the institutionalization of digital assets emphasizes the necessity of custodians such as KODA. CEO Jin-seok Cho hopes that KODA would improve the environment for digital assets, particularly if Korea authorizes a Bitcoin spot ETF. Driving Innovation The significance of addressing investor protection and asset value at an early stage is highlighted by Simon Kim of Hashed. In addition to its technological expertise and compliance, KODA's involvement in South Korea's Web3.0 environment positions it to play a major role in the advancement of digital asset exchange-traded funds. Closing Thoughts In my opinion, KODA's accomplishment of overseeing more than 8 trillion won in assets under management demonstrates not just its leadership in digital asset custody but also the quick development and widespread acceptance of digital banking in South Korea and throughout the world. This milestone—which translates into an 80% market share—shows how much KODA is trusted and relied upon by top financial institutions and business clients. KODA has become a leader in the digital custody space thanks to the partnership of cutting-edge companies like Hashed and Haechi Labs with established financial institutions like KB Kookmin Bank. Through this collaboration, KODA's reputation as a reliable custodian is reinforced, and it also heralds the further use and incorporation of blockchain technology into traditional financial services. With the passage of the Digital Asset Basic Act, South Korea's proactive legislative strategy has established a precedent for the institutionalization of blockchain technology and ensured that digital assets are acknowledged and subject to regulation in the financial sector. This progressive approach guarantees that the country stays at the forefront of digital banking, opening the door for further advancements and market expansions. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

KODA's Strategic Triumph: Surpassing $6 Billion in Digital Asset Custody

কোডার কৌশলগত বিজয়: ডিজিটাল সম্পদ হেফাজতে $6 বিলিয়ন ছাড়িয়ে গেছে

KODAs strategischer Erfolg: Mehr als 6 Milliarden US-Dollar bei der Verwahrung digitaler Vermögenswerte

El triunfo estratégico de KODA: superar los 6.000 millones de dólares en custodia de activos digitales

Le triomphe stratégique de KODA : dépasse les 6 milliards de dollars en matière de conservation d'actifs numériques

कोडा की रणनीतिक जीत: डिजिटल एसेट कस्टडी में $6 बिलियन को पार करना

KODA の戦略的勝利: デジタル資産保管で 60 億ドルを突破

KODA의 전략적 승리: 디지털 자산 보관 규모 60억 달러 돌파

O triunfo estratégico da KODA: ultrapassando US$ 6 bilhões em custódia de ativos digitais

Стратегический триумф KODA: объем хранения цифровых активов превысил 6 миллиардов долларов

KODA'nın Stratejik Zaferi: Dijital Varlık Saklamada 6 Milyar Doları Aşmak

Chiến thắng chiến lược của KODA: Vượt mức 6 tỷ USD về lưu ký tài sản kỹ thuật số

KODA 战略胜利：数字资产托管规模突破 60 亿美元

So, let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. My name is Oleg Kokorin; I’m a CEO of Businessware Technologies (a custom software development company) and a machine learning engineer. My main interests are in teaching computers to see and write, diving, and traveling the world! I also frequently participate in Kaggle competitions. Interesting! What was your latest Hackernoon Top story about? My latest article -- an animal recognition app we at Businessware Technologies have developed for a startup. In this article, I describe how we went from nothing to a powerful computer vision system capable of detecting animals in real-time. was about Birdsy Do you usually write on similar topics? If not, what do you usually write about? Yes, my blog here on HackerNoon is focused on the topics of AI, machine learning, and computer vision, specifically on how to create an AI product from scratch, as it’s something I’ve had a lot of experience with. I also enjoy writing guides and other helpful content for AI startups as I feel like I have amassed enough experience and knowledge worth sharing with upcoming entrepreneurs. Great! What is your usual writing routine like (if you have one?) I don’t really have a routine, but I always talk to my team from our and ML department as they are a bright bunch that can give a unique perspective as people who are every day deep in the trenches of AI development. This can either give me ideas for new articles or give me data for an article I’m already working on. AI For example, for my latest article, I have interviewed our top machine learning engineer who had hands-on experience with developing Birdsy. This made the article a lot more interesting, as personal experiences often are way more interesting than technical details. Being a writer in tech can be a challenge. It’s not often our main role, but an addition to another one. What is the biggest challenge you have when it comes to writing? Foor me, one of the biggest challenges when it comes to writing is making my articles engaging and interesting to read. We at Businessware Technologies have worked on so many interesting projects that have provided me with a lot of insights that I would love to share, but it’s often challenging to relay dry technical mumbo jumbo into an engaging text worth reading. I hope to get good enough with my writing that even the most tech-heavy text would be interesting to read for the average user. What is the next thing you hope to achieve in your career? I’m always looking forward to new projects with our clients, but at this moment, I’m excited to work more on predictive AI projects, i.e., artificial intelligence systems capable of predicting outcomes based on previous data. I’ve been focusing on computer vision systems for a good while; I think it’s about time to expand my horizons. Wow, that’s admirable. Now, something more casual: What is your guilty pleasure of choice? I enjoy a good show! Silicon Valley is at the top, for sure. Do you have a non-tech-related hobby? If yes, what is it? I enjoy diving and snorkeling! Recently-ish, I went to the Maldives and got to go snorkeling in the beautiful waters there. There’s nothing like swimming underwater with local marine life! What can the Hacker Noon community expect to read from you next? I’m planning to write about how we developed an AI for detecting technical drawings. Stay tuned! What’s your opinion on HackerNoon as a platform for writers? So far, it’s been great! I especially like the editor; it makes it very easy to format and edit an article. Thanks for taking time to join our “ ” series. It was a pleasure. Do you have any closing words? Meet the Writer Thank you for this opportunity!

Meet the Writer: HackerNoon's Contributor Oleg Kokorin, CEO of Businessware Technologies

In August, received grant funding worth a total of $98,000 from Microsoft & its industry-leading partners — including OpenAI, GitHub, Massdriver, Ansarada, Bubble & MongoDB — to accelerate its mission to bring cutting-edge AI to the masses, as quickly as possible. KudoAI “The age of AI is upon us,” claimed Microsoft CEO Satya Nadella, just one day before his company invested $10 billion for 49% stake in OpenAI. The public release of ChatGPT — the uncannily human-like chatbot that became the (outpacing even TikTok/Douyin!) — is largely responsible for the current surge in AI interest. ChatGPT’s initial release was based on the powerful GPT-3.5 language learning model developed by OpenAI on the basis of revisions that spanned five years. fastest-growing app in human history The Microsoft-led grants mark a significant milestone for KudoAI, as the mission to bring AI to the masses is greatly accelerated. “The age of AI is upon us.” —Satya Nadella, Microsoft CEO About KudoAI KudoAI is a pioneer in making advanced AI accessible to everyone. Currently, the is chatgpt.js, a widely acclaimed JavaScript library that empowers developers to build AI applications, ranging from chatbots to creative content generation. core product chatgpt.js was accepted last month into the inaugural cohort of 100.builders, an AI incubator funded by industry heavyweights like Stability.ai (creators of Stable Diffusion) & Coinbase. https://www.youtube.com/watch?v=yG8DtsEo0PM&embedable=true Additionally, chatgpt.js is an Official Selection in Season 3 of — a fund for art, science, and public goods projects that impact the world — where community members vote to support projects by purchasing Artifacts, a new type of NFT minted as open editions, of which each sale unlocks additional match funding and cash prizes from various sponsors. Artizen Apps built using chatgpt.js have won awards and even been featured by Google in their marketplaces. For more information, visit https://www.kudoai.com

KudoAI Bags $98K Grant from Microsoft, OpenAI to Accelerate Mass AI Adoption

KudoAI obtiene una subvención de 98.000 dólares de Microsoft y OpenAI para acelerar la adopción masiva de la IA

KudoAI remporte une subvention de 98 000 $ de Microsoft et OpenAI pour accélérer l'adoption massive de l'IA

KudoAI को बड़े पैमाने पर AI अपनाने में तेजी लाने के लिए Microsoft, OpenAI से $98K अनुदान प्राप्त हुआ

KudoAI が Microsoft、OpenAI から AI の大量導入を加速するために 98,000 ドルの助成金を獲得

KudoAI recebe subsídio de US$ 98 mil da Microsoft e OpenAI para acelerar a adoção em massa de IA

KudoAI nhận được khoản tài trợ 98 nghìn đô la từ Microsoft, OpenAI để tăng tốc việc áp dụng AI hàng loạt

KudoAI 获得微软和 OpenAI 的 9.8 万美元资助，以加速人工智能的大规模采用

Blockchain technology provider Komodo takes a step toward making the decentralized economy more accessible for end-users and developers. , a leader in blockchain interoperability and atomic swap technology, has officially renamed its flagship end-user application from "AtomicDEX" to "Komodo Wallet." Komodo The project has also renamed “AtomicDEX API” to “Komodo DeFi Framework.” Komodo DeFi Framework consists of two APIs (Wallet API and DEX API), providing the ultimate solution for developers looking to launch DeFi applications such as non-custodial wallets, cross-chain DEXs, IDO portals, or all-in-one solutions. All of Komodo’s products will now exist under a new unified brand umbrella called “Komodo SDK.” This strategic move aims to make Komodo technology more accessible to everyday crypto users and blockchain developers alike by aligning the projects’ technologies closer to the well-established Komodo brand. More specifically, Komodo anticipates these changes to serve as a catalyst toward achieving three long-term project goals. Firstly, Komodo strives to onboard a wave of new crypto users by emphasizing its role as a market leader in non-custodial wallet technology. While Komodo is known for providing the widest cross-chain trading support of any DEX technology provider on the market, many prospective users aren’t aware that Komodo also offers a built-in wallet solution that supports hundreds of blockchain networks and their respective cryptocurrencies. As more and more crypto users have begun to move their funds off of various centralized exchanges (CEXs) over the past year, the first solution is to select a non-custodial crypto wallet for secure storage. By moving toward a more wallet-centric brand positioning, Komodo will be able to better present its unique technology to an ever-growing community of crypto HODLers. At the same time, Komodo Wallet will continue to play a prominent role as an all-in-one application that includes both a peer-to-peer DEX and peer-to-peer bridge which have cross-chain swap capabilities. Secondly, Komodo aims to reach more blockchain developers, particularly by renaming “AtomicDEX API” to “Komodo DeFi Framework.” This name change helps more adequately reflect the multi-faceted nature of Komodo’s developer solutions, appealing to crypto projects, enterprises, and independent developers. Thirdly, brand unification supports a larger initiative to highlight the growing importance of the KMD coin as an integral part of the project’s ecosystem. Currently, taker orders on DEX trades within Komodo Wallet receive a 10% discount when selling KMD for another asset. Komodo plans to implement a mechanism that will burn a small amount of KMD for each DEX trade that takes place within the Komodo Wallet. Additionally, earlier this year, Komodo announced a to make KMD a deflationary asset by reducing the active user reward (AUR) from 5.1% to 0.01% (implemented on June 30, 2023) and reducing the 3 KMD block reward to a lower amount (pending future community vote). two-part community proposal Kadan Stadelmann, CTO of Komodo, stated: "Brand unification represents a pivotal moment in Komodo’s history and encapsulates our vision for a decentralized future. By consolidating all of our brands under the Komodo SDK, we are poised to unlock new opportunities and drive greater adoption of decentralized technologies. We are confident that Komodo Wallet will set a new industry standard as the ultimate non-custodial wallet, crypto bridge, and cross-chain decentralized exchange (DEX) all in one application." As part of the brand unification process, the project will consolidate all of its content to one website domain (komodoplatform.com), and users will begin to see the name changes reflected across all of Komodo’s applications, website pages, and social channels. The team anticipates a seamless transition as it works towards realizing the project’s vision of providing a decentralized, user-friendly, and all-inclusive technology suite. To help support the brand update, Komodo asks everyone to replace any existing AtomicDEX logos with Komodo Wallet logos. The new logos . can be found here

Komodo Introduces “Komodo Wallet”: the Ultimate Decentralized Non-Custodial Solution

Komodo presenta "Komodo Wallet": la última solución descentralizada sin custodia

Komodo présente « Komodo Wallet » : la solution ultime décentralisée non dépositaire

कोमोडो ने "कोमोडो वॉलेट" पेश किया: अंतिम विकेंद्रीकृत गैर-कस्टोडियल समाधान

コモド、究極の分散型非保管ソリューション「Komodo Wallet」を発表

Komodo apresenta “Komodo Wallet”: a melhor solução descentralizada sem custódia

Komodo giới thiệu “Ví Komodo”: Giải pháp phi tập trung tối ưu

Komodo 推出“Komodo 钱包”：终极去中心化非托管解决方案

Tarzan and the Ant Men by Edgar Rice Burroughs, is part of the HackerNoon Books Series. You can jump to any chapter in this book here . CHAPTER XX CHAPTER XX As Tarzan and Komodoflorensal realized that Talaskar and Janzara lay exposed to the savage assault of the hungry beasts they both sprang quickly toward the two girls. As had been the case when Komodoflorensal had shot into the pit, the cats were startled by the sudden appearance of these two new humans, and in the first instant of their surprise had leaped again to the far end of the chamber. Janzara had lost her dagger as the two girls had fallen into the shaft and now Talaskar saw it lying on the floor beside her. Releasing her hold upon the princess she seized the weapon and leaped to her feet. Already Tarzan and Komodoflorensal were at her side and the cats were returning to the attack. Janzara arose slowly and half bewildered. She looked about, terror disfiguring her marvelous beauty, and as she did so the man in the adjoining chamber saw her. "Janzara!" he cried! "My Princess, I come!" and seizing the bench upon which he had been sitting, and the only thing within the chamber that might be converted into a weapon, he swung wide the gate and leaped into the chamber where the four were now facing the thoroughly infuriated beasts. Both animals, bleeding from many wounds, were mad with pain, rage and hunger. Screaming and growling they threw themselves upon the swords of the two men, who had pushed the girls behind them and were backing slowly toward the gate, and then the man with the bench joined Tarzan and Komodoflorensal and the three fought back the charges of the infuriated carnivora. The bench proved fully as good a weapon of defense as the swords and so together the five drew slowly back, until, quite suddenly and without the slightest warning both cats leaped quickly to one side and darted behind the party as though sensing that the women would prove easier prey. One of them came near to closing upon Janzara had not the man with the bench, imbued apparently with demoniacal fury, leaped upon it with his strange weapon and beaten it back so desperately that it was forced to abandon the princess. Even then the man did not cease to follow it, but, brandishing the bench, pursued it and its fellow with such terrifying cries and prodigious blows that, to escape him, both cats suddenly dodged into the chamber that the man had occupied, and before they could return to the attack he with the bench had slammed the gate and fastened them upon its opposite side. Then he wheeled and faced the four. "Zoanthrohago!" cried the princess. "Your slave!" replied the noble, dropping to one knee and leaning far back, with outstretched arms. "You have saved my life, Zoanthrohago," said Janzara, "and after all the indignities that I have heaped upon you! How can I reward you?" "I love you, Princess, as you have long known," replied the man; "but now it is too late, for tomorrow I die by the king's will. Elkomoelhago has spoken, and, even though you be his daughter, I do not hesitate to say his very ignorance prevents him ever changing a decision once reached." "I know," said Janzara. "He is my sire but I love him not. He killed my mother in a fit of unreasoning jealousy. He is a fool—the fool of fools." Suddenly she turned upon the others. "These slaves would escape, Zoanthrohago," she cried. "With my aid they might accomplish it. With their company we might succeed in escaping, too, and in finding an asylum in their own land." "If any one of them is of sufficient power in his native city," replied Zoanthrohago. "This one," said Tarzan, seeing a miraculous opportunity for freedom, "is the son of Adendrohahkis, King of Trohanadalmakus—the oldest son, and Zertolosto." Janzara looked at Tarzan a moment after he had done speaking. "I was wicked, Zuanthrol," she said; "but I thought that I wanted you and being the daughter of a king I have seldom been denied aught that I craved," and then to Talaskar: "Take your man, my girl, and may you be happy with him," and she pushed Talaskar gently toward the ape-man; but Talaskar drew back. "You are mistaken, Janzara," she said, "I do not love Zuanthrol, nor does he love me." Komodoflorensal looked quickly at Tarzan as though expecting that he would quickly deny the truth of Talaskar's statement, but the ape-man only nodded his head in assent. "Do you mean," demanded Komodoflorensal, "that you do not love Talaskar?" and he looked straight into the eyes of his friend. "On the contrary I love her very much," replied Tarzan; "but not in the way that you have believed, or should I say feared? I love her because she is a good girl and a kind girl and a loyal friend, and also because she was in trouble and needed the love and protection which you and I alone could give her; but as a man loves his mate, I do not love her, for I have a mate of my own in my country beyond the thorns." Komodoflorensal said no more, but he thought a great deal. He thought of what it would mean to return to his own city where he was the Zertalosto, and where, by all the customs of ages, he would be supposed to marry a princess from another city. But he did not want a princess—he wanted Talaskar, the little slave girl of Veltopismakus, who scarcely knew her own mother and most probably had never heard that of her father, if her mother knew it. He wanted Talaskar, but he could only have her in Trohanadalmakus as a slave. His love for her was real and so he would not insult her by thinking such a thing as that. If he could not make her his princess he would not have her at all, and so Komodoflorensal, the son of Adendrohahkis, was sad. But he had none too much time to dwell upon his sorrow now, for the others were planning the best means for escape. "The keepers come down to feed the cats upon this side," said Zoanthrohago, indicating a small door in the wall of the pit opposite that which led into the chamber in which he had been incarcerated. "Doubtless it is not locked, either," said Janzara, "for a prisoner could not reach it without crossing through this chamber where the cats were kept." "We will see," said Tarzan, and crossed to the door. A moment sufficed to force it open, revealing a narrow corridor beyond. One after another the five crawled through the small aperture and following the corridor ascended an acclivity, lighting their way with candles taken from the den of the carnivora. At the top a door opened into a wide corridor, a short distance down which stood a warrior, evidently on guard before a door. Janzara looked through the tiny crack that Tarzan had opened the door and saw the corridor and the man. "Good!" she exclaimed. "It is my own corridor and the warrior is on guard before my door. I know him well. Through me he has escaped payment of his taxes for the past thirty moons. He would die for me. Come! we have nothing to fear," and stepping boldly into the corridor she approached the sentry, the others following behind her. Until he recognized her there was danger that the fellow would raise an alarm, but the moment he saw who it was he was as wax in her hands. "You are blind," she told him. "If the Princess Janzara wishes it," he replied. She told him what she wished—five diadets and some heavy, warriors' wraps. He eyed those who were with her, and evidently recognized Zoanthrohago and guessed who the two other men were. "Not only shall I be blind for my princess," he said; "but tomorrow I shall be dead for her." "Fetch six diadets, then," said the princess. Then she turned toward Komodoflorensal. "You are Prince Royal of Trohanadalmakus?" she asked. "I am," he replied. "And if we show you the way to liberty you will not enslave us?" "I shall take you to the city as my own slaves and then liberate you," he replied. "It is something that has seldom if ever been done," she mused; "not in the memory of living man in Veltopismakus. I wonder if your sire will permit it." "The thing is not without precedent," replied Komodoflorensal. "It has been done but rarely, yet it has been done. I think you may feel assured of a friendly welcome at the court of Adendrohahkis, where the wisdom of Zoanthrohago will not go unappreciated or unrewarded." It was a long time before the warrior returned with the diadets. His face was covered with perspiration and his hands with blood. "I had to fight for them," he said, "and we shall have to fight to use them if we do not hurry. Here, Prince, I brought you weapons," and he handed a sword and dagger to Zoanthrohago. They mounted quickly. It was Tarzan's first experience upon one of the wiry, active, little mounts of the Minunians; but he found the saddle well designed and the diadet easily controlled. "They will be following me from the King's Corridor," explained Oratharc, the warrior who had fetched the diadets. "It would be best, then, to leave by one of the others." "Trohanadalmakus is east of Veltopismakus," said Zoanthrohago, "and if we leave by the Women's Corridor with two slaves from Trohanadalmakus they will assume that we are going there; but if we leave by another corridor they will not be sure and if they lose even a little time in starting the pursuit it will give us just that much of an advantage. If we go straight toward Trohanadalmakus we shall almost certainly be overtaken as the swiftest of diadets will be used in our pursuit. Our only hope lies in deceiving them as to our route or destination, and to accomplish this I believe that we should leave either by the Warriors' Corridor or the Slaves' Corridor, cross the hills north of the city, circle far out to the north and east, not turning south until we are well past Trohanadalmakus. In this way we can approach that city from the east while our pursuers are patrolling the country west of Trohanadalmakus to Veltopismakus." "Let us leave by the Warriors' Corridor then," suggested Janzara. "The trees and shrubbery will conceal us while we pass around to the north of the city," said Komodoflorensal. "We should leave at once," urged Oratharc. "Go first then, with the princess," said Zoanthrohago, "for there is a possibility that the guard at the entrance will let her pass with her party. We will muffle ourselves well with our warriors' cloaks. Come, lead the way!" With Janzara and Oratharc ahead and the others following closely they moved at a steady trot along the circular corridor toward the Warriors' Corridor, and it was not until they had turned into the latter that any sign of pursuit developed. Even then, though they heard the voices of men behind them, they hesitated to break into a faster gait lest they arouse the suspicions of the warriors in the guard room which they must pass near the mouth of the corridor. Never had the Warriors' Corridor seemed so long to any of the Veltopismakusians in the party as it did this night; never had they so wished to race their diadets as now; but they held their mounts to an even pace that would never have suggested to the most suspicious that here were six people seeking escape, most of them from death. They had come almost to the exit when they were aware that the pursuit had turned into the Warriors' Corridor behind them and that their pursuers were advancing at a rapid gait. Janzara and Oratharc drew up beside the sentry at the mouth of the corridor as he stepped out to bar their progress. "The Princess Janzara!" announced Oratharc. "Aside for the Princess Janzara!" The princess threw back the hood of the warrior's cloak she wore, revealing her features, well known to every warrior in the Royal Dome—and well feared. The fellow hesitated. "Aside, man!" cried the princess, "or I ride you down." A great shout arose behind them. Warriors on swiftly galloping diadets leaped along the corridor toward them. The warriors were shouting something, the sense of which was hidden by the noise; but the sentry was suspicious. "Wait until I call the Novand of the guard, Princess," he cried. "Something is amiss and I dare let no one pass without authority; but wait! here he is," and the party turned in their saddles to see a Novand emerging from the door of the guard room, followed by a number of warriors. "Ride!" cried Janzara and spurred her diadet straight for the single sentry in their path. The others lifted their mounts quickly in pursuit. The sentry went down, striking valiantly with his rapier at the legs and bellies of flying diadets. The Novand and his men rushed from the guard room just in time to collide with the pursuers, whom they immediately assumed were belated members of the fleeing party. The brief minutes that these fought, before explanations could be made and understood, gave the fugitives time to pass among the trees to the west side of the city, and, turning north, make for the hills that were dimly visible in the light of a clear, but moonless night. Oratharc, who said that he knew the hill trails perfectly, led the way, the others following as closely as they could; Komodoflorensal and Tarzan bringing up the rear. Thus they moved on in silence through the night, winding along precipitous mountain trails, leaping now and again from rock to rock where the trail itself had been able to find no footing; sliding into dank ravines, clambering through heavy brush and timber along tunnel-like trails that followed their windings, or crept up their opposite sides to narrow ridge or broad plateau; and all night long no sign of pursuit developed. Came the morning at last and with it, from the summit of a lofty ridge, a panorama of broad plain stretching to the north, of distant hills, of forests and of streams. They decided then to descend to one of the numerous parklike glades that they could see nestling in the hills below them, and there rest their mounts and permit them to feed, for the work of the night had been hard upon them. They knew that in the hills they might hide almost indefinitely, so wild and so little traveled were they and so they went into camp an hour after sun-rise in a tiny cuplike valley surrounded by great trees, and watered and fed their mounts with a sense of security greater than they had felt since they left Veltopismakus. Oratharc went out on foot and killed a number of quail and Tarzan speared a couple of fish in the stream. These they prepared and ate, and then, the men taking turns on guard, they slept until afternoon, for none had had sleep the night before. Taking up their flight again in mid-afternoon they were well out upon the plain when darkness overtook them. Komodoflorensal and Zoanthrohago were riding far out upon the flanks and all were searching for a suitable camping place. It was Zoanthrohago who found it and when they all gathered about him Tarzan saw nothing in the waning light of day that appeared any more like a good camping place than any other spot on the open plain. There was a little clump of trees, but they had passed many such clumps, and there was nothing about this one that seemed to offer any greater security than another. As a matter of fact, to Tarzan it appeared anything but a desirable camp-site. There was no water, there was little shelter from the wind and none from an enemy; but perhaps they were going into the trees. That would be better. He looked up at the lofty branches lovingly. How enormous these trees seemed! He knew them for what they were and that they were trees of but average size, yet to him now they reared their heads aloft like veritable giants. "I will go in first," he heard Komodoflorensal say, and turned to learn what he referred to. The other three men were standing at the mouth of a large hole, into which they were looking. Tarzan knew that the opening was the mouth of the burrow of a ratel, the African member of the badger family, and he wondered why any of them wished to enter it. Tarzan had never cared for the flesh of the ratel. He stepped over and joined the others, and as he did so he saw Komodoflorensal crawl into the opening, his drawn sword in his hand. "Why is he doing that?" he asked Zoanthrohago. "To drive out, or kill the cambon, if he is there," replied the prince, giving the ratel its Minunian name. "And why?" asked Tarzan. "Surely, you do not eat its flesh!" "No, but we want his home for the night," replied Zoanthrohago. "I had forgotten that you are not a Minunian. We will spend the night in the underground chambers of the cambon, safe from the attacks of the cat or the lion. It would be better were we there now—this is a bad hour of the night for Minunians to be abroad on the plain or in the forest, for it is at this hour that the lion hunts." A few minutes later Komodoflorensal emerged from the hole. "The cambon is not there," he said. "The burrow is deserted. I found only a snake, which I killed. Go in, Oratharc, and Janzara and Talaskar will follow you. You have candles?" They had, and one by one they disappeared into the mouth of the hole, until Tarzan, who had asked to remain until last, stood alone in the gathering night gazing at the mouth of the ratel's burrow, a smile upon his lips. It seemed ridiculous to him that Tarzan of the Apes should ever be contemplating hiding from Numa in the hole of a ratel, or, worse still, hiding from little Skree, the wild-cat, and as he stood there smiling a bulk loomed dimly among the trees; the diadets, standing near, untethered, snorted and leaped away; and Tarzan wheeled to face the largest lion he ever had seen—a lion that towered over twice the ape-man's height above him. How tremendous, how awe-inspiring Numa appeared to one the size of a Minunian! The lion crouched, its tail extended, the tip moving ever so gently; but the ape-man was not deceived. He guessed what was coming and even as the great cat sprang he turned and dove head-foremost down the hole of the ratel and behind him rattled the loose earth pushed into the burrow's mouth by Numa as he alighted upon the spot where Tarzan had stood. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Edgar Rice Burroughs (2020). Tarzan and the Ant Men. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/61837/pg61837-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

As Tarzan and Komodoflorensal

Komodoflorensal stood at Tarzan's side

Assessing the Interpretability of ML Models from a Human Perspective

This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
Authors:
(1) Ehud Shapiro,  Department of Computer Science and Applied Math, Weizmann Institute of Science, Israel and ehud.shapiro@weizmann.ac.il. Table of Links Abstract and Introduction
Grassroots Protocols
Grassroots Implementation of Grassroots Dissemination
Applications of Grassroots Dissemination Supporting Digital Sovereignty
Future Work & Discussion
References
A. Preliminaries: Asynchronous Distributed Multiagent Transition Systems
B. All-to-All Dissemination is not Grassroots
C. Proofs References 1 Martin R Albrecht, Jorge Blasco, Rikke Bjerg Jensen, and Lenka Mareková. Mesh messaging in large-scale protests: Breaking bridgefy. In Cryptographers’ Track at the RSA Conference, pages 375–398. Springer, 2021. 2 Juan Benet. Ipfs-content addressed, versioned, p2p file system. arXiv preprint arXiv:1407.3561, 2014. 3 Sonja Buchegger, Doris Schiöberg, Le-Hung Vu, and Anwitaman Datta. Peerson: P2p social networking: early experiences and insights. In Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, pages 46–52, 2009. 4 Vitalik Buterin et al. A next-generation smart contract and decentralized application platform. white paper, 3(37), 2014. 5 Manuel Castells. The city and the grassroots: a cross-cultural theory of urban social movements. Number 7. Univ of California Press, 1983. 6 Miguel Castro, Barbara Liskov, et al. Practical byzantine fault tolerance. In OsDI, volume 99, pages 173–186, 1999. 7 Gregory Chockler, Roie Melamed, Yoav Tock, and Roman Vitenberg. Constructing scalable overlays for pub-sub with many topics. In Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing, pages 109–118, 2007. 8 Gregory Chockler, Roie Melamed, Yoav Tock, and Roman Vitenberg. Spidercast: a scalable interest-aware overlay for topic-based pub/sub communication. In Proceedings of the 2007 inaugural international conference on Distributed event-based systems, pages 14–25, 2007. 9 Bram Cohen. Incentives build robustness in bittorrent. In Workshop on Economics of Peer-to-Peer systems, volume 6, pages 68–72. Berkeley, CA, USA, 2003. 10 Alan Demers, Karin Petersen, Mike Spreitzer, Doug Terry, Marvin Theimer, and Brent Welch. The bayou architecture: Support for data sharing among mobile users. In 1994 First Workshop on Mobile Computing Systems and Applications, pages 2–7. IEEE, 1994. 11 Bitcoin Developer. P2p network, Retrieved 20222. URL: https://developer.bitcoin.org/ devguide/p2p_network.html. 12 Ethereum Developer. go-ethereum/params/bootnodes.go, Retrieved 2023. URL: https://github.com/ethereum/go-ethereum/blob/master/params/bootnodes.go. 13 Adem Efe Gencer, Soumya Basu, Ittay Eyal, Robbert van Renesse, and Emin Gün Sirer. Decentralization in bitcoin and ethereum networks. In International Conference on Financial Cryptography and Data Security, pages 439–457. Springer, 2018. 14 Gabriele Goldacker. Digitale souveränität [white paper of kompetenzzentrum öffentliche it (öfit)]. retrieved april 20, 2021, 2017. 15 Idit Keidar, Eleftherios Kokoris-Kogias, Oded Naor, and Alexander Spiegelman. All you need is dag, 2021. arXiv:2102.08325. 16 Idit Keidar, Oded Naor, and Ehud Shapiro. Cordial miners: A family of simple and efficient consensus protocols for every eventuality. arXiv preprint arXiv:2205.09174, 2022. 17 Antony Lewis. A gentle introduction to self-sovereign identity. 2017. URL: https://bitsonblocks.net/2017/05/17/a-gentle-introduction-to-self-sovereign-identity/. 18 Satoshi Nakamoto. Bitcoin: A peer-to-peer electronic cash system, 2019. 19 Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem, and Alessandro Vespignani. Epidemic processes in complex networks. Reviews of modern physics, 87(3):925, 2015. 20 Julia Pohle and Thorsten Thiel. Digital sovereignty. Internet Policy Review: Journal on Internet Regulation, 9(4):1–19, 2020. 21 Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, and Gareth Tyson. Challenges in the decentralised web: The mastodon case. In Proceedings of the Internet Measurement Conference, pages 217–229, 2019. 22 Vinay Setty, Maarten van Steen, Roman Vitenberg, and Spyros Voulgaris. Poldercast: Fast, robust, and scalable architecture for p2p topic-based pub/sub. In ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing, pages 271–291. Springer, 2012. 23 Devavrat Shah et al. Gossip algorithms. Foundations and Trends® in Networking, 3(1):1–125, 2009. 24 Ehud Shapiro. Multiagent transition systems: Protocol-stack mathematics for distributed computing. arXiv preprint arXiv:2112.13650, 2021. 25 Ehud Shapiro. Sovereign personal cryptocurrencies: A grassroots foundation for a digital economy. arXiv preprint arXiv:2202.05619, 2022. 26 Marc Shapiro, Nuno Preguiça, Carlos Baquero, and Marek Zawirski. Conflict-free replicated data types. In Symposium on Self-Stabilizing Systems, pages 386–400. Springer, 2011. 27 Robert Shostak, Marshall Pease, and Leslie Lamport. The byzantine generals problem. ACM Transactions on Programming Languages and Systems, 4(3):382–401, 1982. 28 Ion Stoica, Robert Morris, David Karger, M Frans Kaashoek, and Hari Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. ACM SIGCOMM computer communication review, 31(4):149–160, 2001. 29 Maofan Yin, Dahlia Malkhi, Michael K Reiter, Guy Golan Gueta, and Ittai Abraham. Hotstuff: Bft consensus with linearity and responsiveness. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, pages 347–356, 2019. 30 Shoshana Zuboff. The age of surveillance capitalism: The fight for a human future at the new frontier of power: Barack Obama’s books of 2019. Profile books, 2019. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Ehud Shapiro,  Department of Computer Science and Applied Math, Weizmann Institute of Science, Israel and ehud.shapiro@weizmann.ac.il. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: Authors: (1) Ehud Shapiro,  Department of Computer Science and Applied Math, Weizmann Institute of Science, Israel and ehud.shapiro@weizmann.ac.il. Table of Links Abstract and Introduction Grassroots Protocols Grassroots Implementation of Grassroots Dissemination Applications of Grassroots Dissemination Supporting Digital Sovereignty Future Work & Discussion References A. Preliminaries: Asynchronous Distributed Multiagent Transition Systems B. All-to-All Dissemination is not Grassroots C. Proofs Abstract and Introduction Abstract and Introduction Grassroots Protocols Grassroots Protocols Grassroots Implementation of Grassroots Dissemination Grassroots Implementation of Grassroots Dissemination Applications of Grassroots Dissemination Supporting Digital Sovereignty Applications of Grassroots Dissemination Supporting Digital Sovereignty Future Work & Discussion Future Work & Discussion References References A. Preliminaries: Asynchronous Distributed Multiagent Transition Systems A. Preliminaries: Asynchronous Distributed Multiagent Transition Systems B. All-to-All Dissemination is not Grassroots B. All-to-All Dissemination is not Grassroots C. Proofs C. Proofs References 1 Martin R Albrecht, Jorge Blasco, Rikke Bjerg Jensen, and Lenka Mareková. Mesh messaging in large-scale protests: Breaking bridgefy. In Cryptographers’ Track at the RSA Conference, pages 375–398. Springer, 2021. 2 Juan Benet. Ipfs-content addressed, versioned, p2p file system. arXiv preprint arXiv:1407.3561, 2014. 3 Sonja Buchegger, Doris Schiöberg, Le-Hung Vu, and Anwitaman Datta. Peerson: P2p social networking: early experiences and insights. In Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, pages 46–52, 2009. 4 Vitalik Buterin et al. A next-generation smart contract and decentralized application platform. white paper, 3(37), 2014. 5 Manuel Castells. The city and the grassroots: a cross-cultural theory of urban social movements. Number 7. Univ of California Press, 1983. 6 Miguel Castro, Barbara Liskov, et al. Practical byzantine fault tolerance. In OsDI, volume 99, pages 173–186, 1999. 7 Gregory Chockler, Roie Melamed, Yoav Tock, and Roman Vitenberg. Constructing scalable overlays for pub-sub with many topics. In Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing, pages 109–118, 2007. 8 Gregory Chockler, Roie Melamed, Yoav Tock, and Roman Vitenberg. Spidercast: a scalable interest-aware overlay for topic-based pub/sub communication. In Proceedings of the 2007 inaugural international conference on Distributed event-based systems, pages 14–25, 2007. 9 Bram Cohen. Incentives build robustness in bittorrent. In Workshop on Economics of Peer-to-Peer systems, volume 6, pages 68–72. Berkeley, CA, USA, 2003. 10 Alan Demers, Karin Petersen, Mike Spreitzer, Doug Terry, Marvin Theimer, and Brent Welch. The bayou architecture: Support for data sharing among mobile users. In 1994 First Workshop on Mobile Computing Systems and Applications, pages 2–7. IEEE, 1994. 11 Bitcoin Developer. P2p network, Retrieved 20222. URL: https://developer.bitcoin.org/ devguide/p2p_network.html. 12 Ethereum Developer. go-ethereum/params/bootnodes.go, Retrieved 2023. URL: https://github.com/ethereum/go-ethereum/blob/master/params/bootnodes.go. 13 Adem Efe Gencer, Soumya Basu, Ittay Eyal, Robbert van Renesse, and Emin Gün Sirer. Decentralization in bitcoin and ethereum networks. In International Conference on Financial Cryptography and Data Security, pages 439–457. Springer, 2018. 14 Gabriele Goldacker. Digitale souveränität [white paper of kompetenzzentrum öffentliche it (öfit)]. retrieved april 20, 2021, 2017. 15 Idit Keidar, Eleftherios Kokoris-Kogias, Oded Naor, and Alexander Spiegelman. All you need is dag, 2021. arXiv:2102.08325. 16 Idit Keidar, Oded Naor, and Ehud Shapiro. Cordial miners: A family of simple and efficient consensus protocols for every eventuality. arXiv preprint arXiv:2205.09174, 2022. 17 Antony Lewis. A gentle introduction to self-sovereign identity. 2017. URL: https://bitsonblocks.net/2017/05/17/a-gentle-introduction-to-self-sovereign-identity/. 18 Satoshi Nakamoto. Bitcoin: A peer-to-peer electronic cash system, 2019. 19 Romualdo Pastor-Satorras, Claudio Castellano, Piet Van Mieghem, and Alessandro Vespignani. Epidemic processes in complex networks. Reviews of modern physics, 87(3):925, 2015. 20 Julia Pohle and Thorsten Thiel. Digital sovereignty. Internet Policy Review: Journal on Internet Regulation, 9(4):1–19, 2020. 21 Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, and Gareth Tyson. Challenges in the decentralised web: The mastodon case. In Proceedings of the Internet Measurement Conference, pages 217–229, 2019. 22 Vinay Setty, Maarten van Steen, Roman Vitenberg, and Spyros Voulgaris. Poldercast: Fast, robust, and scalable architecture for p2p topic-based pub/sub. In ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing, pages 271–291. Springer, 2012. 23 Devavrat Shah et al. Gossip algorithms. Foundations and Trends® in Networking, 3(1):1–125, 2009. 24 Ehud Shapiro. Multiagent transition systems: Protocol-stack mathematics for distributed computing. arXiv preprint arXiv:2112.13650, 2021. 25 Ehud Shapiro. Sovereign personal cryptocurrencies: A grassroots foundation for a digital economy. arXiv preprint arXiv:2202.05619, 2022. 26 Marc Shapiro, Nuno Preguiça, Carlos Baquero, and Marek Zawirski. Conflict-free replicated data types. In Symposium on Self-Stabilizing Systems, pages 386–400. Springer, 2011. 27 Robert Shostak, Marshall Pease, and Leslie Lamport. The byzantine generals problem. ACM Transactions on Programming Languages and Systems, 4(3):382–401, 1982. 28 Ion Stoica, Robert Morris, David Karger, M Frans Kaashoek, and Hari Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. ACM SIGCOMM computer communication review, 31(4):149–160, 2001. 29 Maofan Yin, Dahlia Malkhi, Michael K Reiter, Guy Golan Gueta, and Ittai Abraham. Hotstuff: Bft consensus with linearity and responsiveness. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, pages 347–356, 2019. 30 Shoshana Zuboff. The age of surveillance capitalism: The fight for a human future at the new frontier of power: Barack Obama’s books of 2019. Profile books, 2019.

Grassroots Distributed Systems for Digital Sovereignty: References

**KYOTO, Japan, May 13th, 2024/Chainwire/--**The IVS KYOTO Executive Committee is delighted to announce it will host one of the largest and most celebrated annual crypto conferences in Japan in the coming weeks. The three-day IVS Crypto 2024 KYOTO event will be held at the Kyoto Pulse Plaza alongside this year’s Japan Blockchain Week Summit, from Thursday, July 4 to Saturday until July 6, 2024. The previous edition of IVS Kyoto stood out as the largest crypto event on Japan’s 2023 calendar, acclaimed for delivering a multifaceted and exhilarating experience that drew more than 10,500 attendees, 300 speakers and over 150 side events under the theme of “What’s your new adventures”. In the wake of last year’s success, the theme for IVS Crypto 2024 KYOTO is centered on the concept of “Cross the Boundaries”. Attendees, exhibitors and speakers alike, from both Japan and around the world, are asked to focus on the evolution and application of blockchain technology and explore the future of Web 3.0 through games, entertainment, AI, and more. The event will run simultaneously alongside the highly anticipated Japan Blockchain Week Summit, and this year’s program promises to be even more comprehensive than before, with a record-breaking number of blockchain and Web 3.0 pioneers present. Japan Blockchain Week 2024 will play host to events staged all over Japan, and is expected to attract more than 50,000 attendees in all. Transcending The Barrier Between Web 3.0 & Reality At Kyoto Pulse Plaza IVS Crypto 2024 KYOTO will span four entire floors at the Kyoto Pulse Plaza, with the 1st Floor given over to exhibits designed to promote the practical application of blockchain technology, with visitors able to explore how Web 3.0 is already being integrated into our daily lives. Visitors will be able to experience sessions dissecting themes such as “Blockchain Data & AI”, “SocialFi & Entertainment”, “Game-Specific Chains & Gaming Industry”, and “DeFi and Financial Efficiency”, among many others. Headline speakers gracing the stage on the first floor include Mo Shaikh (CEO and Co-Founder of Aptos Labs), Sebastien Borget (Co-founder of the  Sandbox), Joichi Ito (President of Chiba Institute of Technology), Mai Fujimoto (Co-founder of  INTMAX ), Genki Oda (Representative Director of JVCEA), Hidekazu Kondo (CEO of Japan  Open Chain), Waka Itagaki (Deputy Director of Ministry of Economy, Trade and Industry), Ken  Kanetomo (web3 Division Manager of Konami Digital Entertainment), and Hideto Kawasaki  (Director-General of web3PT of Liberal Democratic Party. The floor will be populated by the booths of dozens of cutting-edge blockchain companies, intersected by seven exclusive experience zones, with each one designed to introduce visitors to Web 3.0 from a totally different perspective. These include The Web3 Entertainment Zone, organized by SHAKE Entertainment and YGG Japan, which will showcase how the gaming industry is embracing Web 3.0. Another highlight will be the Crypto Village powered by MURA and run by Shinsekai Technologies, which is set to host a range of side events based on various themes held at different times of the day, providing a dynamic environment for meetups and communication. Inamori Hall on the 3rd Floor at Kyoto Pulse Plaza will be given over to a series of projects that bring together innovative ideas and projects in an effort to match creators and developers who aim to drive the future of Web 3.0. The projects include the eagerly-awaited AI & Web 3.0 Animation Contest, which will see young creators compete against one another to create short animations managed by blockchain, using AI and the Unreal Engine, plus tools supplied by Animechain.ai. WaveHack Global Demo Day is another highlight, with the winning hackathon teams set to win prizes totaling $500,000 and the opportunity to present their Web 3.0 projects at future events such as EDCON and WebX. Finally, the 2nd and 5th Floors are exclusive zones that will provide an opportunity for entrepreneurs and innovators to meet and share their vision with some of the most renowned venture capital investors in the crypto industry. Japan Blockchain Week 2024: A Spectacular Series Of Web 3.0 Events Japan Blockchain Week Summit is the new name for the annual Non Fungible Tokyo event that was first held back in 2018, and it is expanding to become one of the top crypto events on the planet, with more than 50,000 attendees due to show up at this year’s revamped edition. The event will run for two days within IVS Crypto 2024 KYOTO, co-hosted by JapanBlockchainWeek and N.Avenue, the operator of CoinDesk JAPAN. As the showcase event at IVS Crypto 2024 KYOTO, Japan Blockchain Week Summit will kick off this year’s Japan Blockchain Week 2024, which is set to run from July 4 to July 31 and will see multiple experiences popping up at locations all over the country. Some of the most eagerly anticipated events include "Web3 Future 2024”, which will take place on July 16, hosted by GInco Inc., and “DCENTRAL Tokyo 2024”, a three-day event that’s set to run from July 17 to July 19. Moreover, De University of Ethereum will host the "EDCON TOKYO 2024" event from July 26 to 30, with IVS Crypto/JBW Summit attendees receiving a ticket that includes a number of special perks. Last year’s IVS Crypto was a spectacular success, with more than 150 side events taking place at Kyoto’s famed Nijo Castle, Yasaka Shrine and Heian Shrine. This year’s edition is sure to be even more exciting, with over 300 events planned to take place across Japan, and the IVS KYOTO Executive Committee is delighted to reveal that it’s now looking for additional event organizers to expand what will surely be one of the most monumental shindigs in the history of Web 3.0. Those interested in participating can visit this link to find out more: https://www.notion.so/headlineasia/IVS2024-SIDE-EVENT-Guide-5903e36440cf474f8e13373d81d4211d. IVS Crypto 2024 is made possible by numerous partnerships and sponsorships with some of the biggest names in Japan’s Web 3.0 industry. Platinum partners Aptos and Animechain.ai, will be joined by a host of Gold partners, including Oasys, double jump.tokyo, Avalanche, Alibaba Cloud,  Japan Open Chain, SBI Holdings, LINE NEXT/DOSI/kaia, and Vyvo Smart Chain, as they work together to build the next generation of the (decentralized) internet. Companies and organizations interested in sponsoring can check details and make inquiries through a dedicated form on the official website. For other partners, please use our dedicated partner application form. Sponsorship inquiry form: https://www.ivs.events/about-sponsorship. Media partner, community partner, and VC partner guidebook: https://www.notion.so/headlineasia/English-Guidance-for-Partners-of-IVS2024-26c7790de96045ba9645f68672601561. For discounted tickets visit: https://www.ivs.events/crypto. Coupon code: MarketAcross About the IVS KYOTO Executive Committee Headline Japan, Inc. was established with Kyoto Prefecture and Kyoto City for the purpose of  further developing the startup ecosystem and promoting the local industry through IVS in Kyoto.  We will promote the fusion of startups with Kyoto's corporate, university, research, and cultural  resources, leading to the creation of new industries and the emergence of startups that can  compete on a global scale. Contact Fukaya, Kurita, Togawa & Yoshida ivs-pr@vectorinc.co.jp +81 3-5572-6063 This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **KYOTO, Japan, May 13th, 2024/Chainwire/--**The IVS KYOTO Executive Committee is delighted to announce it will host one of the largest and most celebrated annual crypto conferences in Japan in the coming weeks. The three-day IVS Crypto 2024 KYOTO event will be held at the Kyoto Pulse Plaza alongside this year’s Japan Blockchain Week Summit, from Thursday, July 4 to Saturday until July 6, 2024. IVS Crypto 2024 KYOTO IVS Crypto 2024 KYOTO The previous edition of IVS Kyoto stood out as the largest crypto event on Japan’s 2023 calendar, acclaimed for delivering a multifaceted and exhilarating experience that drew more than 10,500 attendees, 300 speakers and over 150 side events under the theme of “What’s your new adventures”. In the wake of last year’s success, the theme for IVS Crypto 2024 KYOTO is centered on the concept of “Cross the Boundaries”. Attendees, exhibitors and speakers alike, from both Japan and around the world, are asked to focus on the evolution and application of blockchain technology and explore the future of Web 3.0 through games, entertainment, AI, and more. The event will run simultaneously alongside the highly anticipated Japan Blockchain Week Summit, and this year’s program promises to be even more comprehensive than before, with a record-breaking number of blockchain and Web 3.0 pioneers present. Japan Blockchain Week 2024 will play host to events staged all over Japan, and is expected to attract more than 50,000 attendees in all. Transcending The Barrier Between Web 3.0 & Reality At Kyoto Pulse Plaza IVS Crypto 2024 KYOTO will span four entire floors at the Kyoto Pulse Plaza, with the 1st Floor given over to exhibits designed to promote the practical application of blockchain technology, with visitors able to explore how Web 3.0 is already being integrated into our daily lives. Visitors will be able to experience sessions dissecting themes such as “Blockchain Data & AI”, “SocialFi & Entertainment”, “Game-Specific Chains & Gaming Industry”, and “DeFi and Financial Efficiency”, among many others. Headline speakers gracing the stage on the first floor include Mo Shaikh (CEO and Co-Founder of Aptos Labs), Sebastien Borget (Co-founder of the  Sandbox), Joichi Ito (President of Chiba Institute of Technology), Mai Fujimoto (Co-founder of  INTMAX ), Genki Oda (Representative Director of JVCEA), Hidekazu Kondo (CEO of Japan  Open Chain), Waka Itagaki (Deputy Director of Ministry of Economy, Trade and Industry), Ken  Kanetomo (web3 Division Manager of Konami Digital Entertainment), and Hideto Kawasaki  (Director-General of web3PT of Liberal Democratic Party. The floor will be populated by the booths of dozens of cutting-edge blockchain companies, intersected by seven exclusive experience zones, with each one designed to introduce visitors to Web 3.0 from a totally different perspective. These include The Web3 Entertainment Zone, organized by SHAKE Entertainment and YGG Japan, which will showcase how the gaming industry is embracing Web 3.0. Another highlight will be the Crypto Village powered by MURA and run by Shinsekai Technologies, which is set to host a range of side events based on various themes held at different times of the day, providing a dynamic environment for meetups and communication. Inamori Hall on the 3rd Floor at Kyoto Pulse Plaza will be given over to a series of projects that bring together innovative ideas and projects in an effort to match creators and developers who aim to drive the future of Web 3.0. The projects include the eagerly-awaited AI & Web 3.0 Animation Contest, which will see young creators compete against one another to create short animations managed by blockchain, using AI and the Unreal Engine, plus tools supplied by Animechain.ai. WaveHack Global Demo Day is another highlight, with the winning hackathon teams set to win prizes totaling $500,000 and the opportunity to present their Web 3.0 projects at future events such as EDCON and WebX. Finally, the 2nd and 5th Floors are exclusive zones that will provide an opportunity for entrepreneurs and innovators to meet and share their vision with some of the most renowned venture capital investors in the crypto industry. Japan Blockchain Week 2024: A Spectacular Series Of Web 3.0 Events Japan Blockchain Week Summit is the new name for the annual Non Fungible Tokyo event that was first held back in 2018, and it is expanding to become one of the top crypto events on the planet, with more than 50,000 attendees due to show up at this year’s revamped edition. The event will run for two days within IVS Crypto 2024 KYOTO, co-hosted by JapanBlockchainWeek and N.Avenue, the operator of CoinDesk JAPAN. As the showcase event at IVS Crypto 2024 KYOTO, Japan Blockchain Week Summit will kick off this year’s Japan Blockchain Week 2024, which is set to run from July 4 to July 31 and will see multiple experiences popping up at locations all over the country. Some of the most eagerly anticipated events include "Web3 Future 2024”, which will take place on July 16, hosted by GInco Inc., and “DCENTRAL Tokyo 2024”, a three-day event that’s set to run from July 17 to July 19. Moreover, De University of Ethereum will host the "EDCON TOKYO 2024" event from July 26 to 30, with IVS Crypto/JBW Summit attendees receiving a ticket that includes a number of special perks. Last year’s IVS Crypto was a spectacular success, with more than 150 side events taking place at Kyoto’s famed Nijo Castle, Yasaka Shrine and Heian Shrine. This year’s edition is sure to be even more exciting, with over 300 events planned to take place across Japan, and the IVS KYOTO Executive Committee is delighted to reveal that it’s now looking for additional event organizers to expand what will surely be one of the most monumental shindigs in the history of Web 3.0. Those interested in participating can visit this link to find out more: https://www.notion.so/headlineasia/IVS2024-SIDE-EVENT-Guide-5903e36440cf474f8e13373d81d4211d . https://www.notion.so/headlineasia/IVS2024-SIDE-EVENT-Guide-5903e36440cf474f8e13373d81d4211d https://www.notion.so/headlineasia/IVS2024-SIDE-EVENT-Guide-5903e36440cf474f8e13373d81d4211d IVS Crypto 2024 is made possible by numerous partnerships and sponsorships with some of the biggest names in Japan’s Web 3.0 industry. Platinum partners Aptos and Animechain.ai, will be joined by a host of Gold partners, including Oasys, double jump.tokyo, Avalanche, Alibaba Cloud,  Japan Open Chain, SBI Holdings, LINE NEXT/DOSI/kaia, and Vyvo Smart Chain, as they work together to build the next generation of the (decentralized) internet. Companies and organizations interested in sponsoring can check details and make inquiries through a dedicated form on the official website. For other partners, please use our dedicated partner application form. Sponsorship inquiry form: https://www.ivs.events/about-sponsorship . https://www.ivs.events/about-sponsorship https://www.ivs.events/about-sponsorship Media partner, community partner, and VC partner guidebook: https://www.notion.so/headlineasia/English-Guidance-for-Partners-of-IVS2024-26c7790de96045ba9645f68672601561 . https://www.notion.so/headlineasia/English-Guidance-for-Partners-of-IVS2024-26c7790de96045ba9645f68672601561 https://www.notion.so/headlineasia/English-Guidance-for-Partners-of-IVS2024-26c7790de96045ba9645f68672601561 For discounted tickets visit: https://www.ivs.events/crypto . https://www.ivs.events/crypto https://www.ivs.events/crypto Coupon code: MarketAcross About the IVS KYOTO Executive Committee Headline Japan, Inc. was established with Kyoto Prefecture and Kyoto City for the purpose of  further developing the startup ecosystem and promoting the local industry through IVS in Kyoto.  We will promote the fusion of startups with Kyoto's corporate, university, research, and cultural  resources, leading to the creation of new industries and the emergence of startups that can  compete on a global scale. Contact Fukaya, Kurita, Togawa & Yoshida ivs-pr@vectorinc.co.jp +81 3-5572-6063 This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Announcing IVS Crypto 2024 KYOTO And Japan Blockchain Week Summit

IVS Crypto 2024 KYOTO এবং জাপান ব্লকচেইন উইক সামিট ঘোষণা করা হচ্ছে

Ankündigung von IVS Crypto 2024 KYOTO und Japan Blockchain Week Summit

Anuncio de IVS Crypto 2024 KYOTO y la Cumbre de la Semana Blockchain de Japón

Annonce du sommet IVS Crypto 2024 KYOTO et Japan Blockchain Week

IVS क्रिप्टो 2024 क्योटो और जापान ब्लॉकचेन सप्ताह शिखर सम्मेलन की घोषणा

IVS Crypto 2024 KYOTOとJapan Blockchain Week Summitのお知らせ

IVS Crypto 2024 KYOTO 및 Japan Blockchain Week Summit 발표

Anunciando IVS Crypto 2024 KYOTO e Japan Blockchain Week Summit

Анонсируем саммит IVS Crypto 2024 KYOTO и Japan Blockchain Week

IVS Crypto 2024 KYOTO ve Japonya Blockchain Haftası Zirvesi Duyurusu

Công bố Hội nghị thượng đỉnh Tuần lễ Blockchain của KYOTO và Nhật Bản IVS Crypto 2024

宣布 IVS Crypto 2024 KYOTO 和日本区块链周峰会

When most people think of NFTs, they think of Bored Ape monkeys and digital artworks, but in reality, it is a universal standard meant for much more. For example, NFTs perfectly represent real-world entities on the blockchain. An NFT can represent the ownership of a real piece of art (such as a painting), allowing it to be traded on the blockchain while the painting remains in a well-protected safe. Similarly, an NFT can represent raw materials, such as the steel needed for car manufacturing, or a container of berries that will eventually be made into smoothies. To these NFTs that represent real entities, we can also assign metadata that provides precise information about the entity associated with the NFT. For instance, in the case of a piece of art, this could include certificates proving authenticity and ownership, or in the case of raw materials, quality statements, and unique attributes like the place of origin. If the metadata is stored on immutable storage, then every change requires updating the metadata reference in the NFT, making the entity's history traceable throughout the blockchain. This history is unchangeable due to the nature of blockchain and immutable storage systems! This brings us to the trace.market project, which we are currently working on in close collaboration with the Swarm Foundation. The system's goal is to allow anyone to freely create NFTs representing physical entities on the Polygon blockchain and to assign metadata to them on Swarm. The blockchain ensures a reliable product history, which can be accessed on Swarm. From the end-users perspective, this looks like scanning a QR code (which contains the NFT ID) on the final product (such as a garment, a box of smoothies, or a car service book) using an app, where they can view the metadata and the complete history. For example, they can verify that the t-shirt was made by recycled textiles, or that the price of refurbished electronics is in balance with its defects. The project uses standard ERC721 NFTs, which are supplemented by two methods for storing and retrieving metadata: function updateMetadata(uint256 tokenId, uint256 swarmHash)
function metadata(uint256 tokenId) The updateMetadata method allows us to modify the metadata assigned to the token. Since the address of content on Swarm is the keccak256 hash of that content, we use uint256 for storage. As the content stored on Swarm is immutable, any change requires us to modify the metadata hash. This ensures that the complete history can be traced on the blockchain. To facilitate traceability, we are also introducing a new event: event metadataUpdated(uint256 indexed _tokenId, uint256 _swarmHash); The event is emitted with every change in metadata, allowing the complete history to be collected based on the tokenId. Since Swarm has its storage incentive system, the storage fee must be covered. This responsibility always falls on the current owner of the NFT. It is in their interest to do so because if the metadata is not accessible, significantly more trust will be needed to sell the product/ NFT. Once the NFT is transferred to a new owner, it then becomes the new owner's responsibility to pay for the storage. During the life cycle of a product, there may be events when the nature of the product changes. For example, locally grown berries are freeze-dried to serve them off-season, or a certified raw material is built into a premium product. Each activity output is detailed in a new NFT, so Industry 5.0’s smart manufacturing can be customized at scale. We refer to these in the system as transformations, and they can occur with the assistance of smart contracts. We distinguish three fundamental types of transformations: 1-1 transformation: In this case, one NFT transforms into another NFT. For example, a container of strawberries becomes a barrel of juice.
1-N transformation (split): In this case, one NFT splits into multiple NFTs. For example, a container of strawberries is divided into two containers, which are then shipped to different countries.
N-1 transformation (merge): In this case, component  NFTs merge into one NFT. This is like when parts are shipped or assembled into a complete car. With these three types, all transformations can be covered. The smart contract executing the transformation locks the source NFT (removes it from circulation) and mints new NFTs in its place. To execute the transformation, the smart contract can verify certain conditions. For example, in the case of a container of berries, a split operation is only permitted if the mass of the resulting new NFTs matches the mass of the source NFT. The mass measurement is performed by reliable external oracles. We store the NFT metadata in the Beeson format developed for Swarm. The advantage of this is that it is verifiable on the blockchain, enabling the transformation smart contract to perform basic Merkle proof checks on the metadata based solely on the Swarm hash (Merkle root). For example, the full price is paid only if the product is manufactured according to a recipe that is confidential but its hash is known. Of course, there are many factors in a transformation that may be difficult or impossible to verify with a smart contract. In such cases, permission from external oracles is required for the transformation (e.g. the location of a vessel). This could be a single oracle or a group of oracles. In the latter case, the transformation can be executed if the majority of the group approves it. Finally, for the sake of example, let's follow this short supply chain: First, the producer picks the bio berries and packs them into a container. Subsequently, an independent validator checks the field and its bio certificate. Photos of the Real-World Asset are uploaded to Swarm, which is linked to the NFT as metadata. Thus, the NFT representing the food is created. Tons of berries go bad or require huge energy during logistics, so a nearby food processor is notified that a batch becomes available. A sales contract is drawn up between the processor and the producer, with the condition that if the location of the container is verified (IoT and logistics oracles, DePIN) on the buyer’s plant, the price will be paid and the buyer will be the owner of the NFT. The processor can merge it with other ingredients, machine capacities, and recipes, so an updated NFT is generated for wholesalers and retailers. On the packaging, a QR code with the NFT ID is placed. When a customer picks up the smoothie in the store, they can scan the QR code to download the metadata stored on Swarm, which can be authenticated based on the history stored on the blockchain. The product's CO2 and water footprint can be estimated most accurately from this metadata, supporting buyers to involve it in buying factors, thereby encouraging manufacturers to minimize CO2 emissions. This is how the trace.market project works in a nutshell. Currently, the project is in testing phase, welcoming API integrations to cope with the urging need for a transparent, Single Source of Truth in products’ sustainability, logistics, resiliency, quality, and custom but structured attributes. I plan to present the system's operation in depth, including the source code level, in a second article once the first version is complete. Kudos to Balint Drahota, the PM of trace.market for helping me clarify the concept, and inspiring me with excellent use cases. When most people think of NFTs, they think of Bored Ape monkeys and digital artworks, but in reality, it is a universal standard meant for much more. For example, NFTs perfectly represent real-world entities on the blockchain. An NFT can represent the ownership of a real piece of art (such as a painting), allowing it to be traded on the blockchain while the painting remains in a well-protected safe. Similarly, an NFT can represent raw materials, such as the steel needed for car manufacturing, or a container of berries that will eventually be made into smoothies. To these NFTs that represent real entities, we can also assign metadata that provides precise information about the entity associated with the NFT. For instance, in the case of a piece of art, this could include certificates proving authenticity and ownership, or in the case of raw materials, quality statements, and unique attributes like the place of origin. If the metadata is stored on immutable storage, then every change requires updating the metadata reference in the NFT, making the entity's history traceable throughout the blockchain. This history is unchangeable due to the nature of blockchain and immutable storage systems! This brings us to the trace.market project, which we are currently working on in close collaboration with the Swarm Foundation . The system's goal is to allow anyone to freely create NFTs representing physical entities on the Polygon blockchain and to assign metadata to them on Swarm. The blockchain ensures a reliable product history, which can be accessed on Swarm. trace.market Swarm Foundation From the end-users perspective, this looks like scanning a QR code (which contains the NFT ID) on the final product (such as a garment, a box of smoothies, or a car service book) using an app, where they can view the metadata and the complete history. For example, they can verify that the t-shirt was made by recycled textiles, or that the price of refurbished electronics is in balance with its defects. The project uses standard ERC721 NFTs, which are supplemented by two methods for storing and retrieving metadata: ERC721 function updateMetadata(uint256 tokenId, uint256 swarmHash)
function metadata(uint256 tokenId) function updateMetadata(uint256 tokenId, uint256 swarmHash)
function metadata(uint256 tokenId) The updateMetadata method allows us to modify the metadata assigned to the token. Since the address of content on Swarm is the keccak256 hash of that content, we use uint256 for storage. As the content stored on Swarm is immutable, any change requires us to modify the metadata hash. This ensures that the complete history can be traced on the blockchain. To facilitate traceability, we are also introducing a new event: updateMetadata event metadataUpdated(uint256 indexed _tokenId, uint256 _swarmHash); event metadataUpdated(uint256 indexed _tokenId, uint256 _swarmHash); The event is emitted with every change in metadata, allowing the complete history to be collected based on the tokenId. Since Swarm has its storage incentive system, the storage fee must be covered. This responsibility always falls on the current owner of the NFT. It is in their interest to do so because if the metadata is not accessible, significantly more trust will be needed to sell the product/ NFT. Once the NFT is transferred to a new owner, it then becomes the new owner's responsibility to pay for the storage. During the life cycle of a product, there may be events when the nature of the product changes. For example, locally grown berries are freeze-dried to serve them off-season, or a certified raw material is built into a premium product. Each activity output is detailed in a new NFT, so Industry 5.0’s smart manufacturing can be customized at scale. We refer to these in the system as transformations, and they can occur with the assistance of smart contracts. We distinguish three fundamental types of transformations: 1-1 transformation: In this case, one NFT transforms into another NFT. For example, a container of strawberries becomes a barrel of juice. 1-N transformation (split): In this case, one NFT splits into multiple NFTs. For example, a container of strawberries is divided into two containers, which are then shipped to different countries. N-1 transformation (merge): In this case, component  NFTs merge into one NFT. This is like when parts are shipped or assembled into a complete car. 1-1 transformation : In this case, one NFT transforms into another NFT. For example, a container of strawberries becomes a barrel of juice. 1-1 transformation 1-N transformation (split) : In this case, one NFT splits into multiple NFTs. For example, a container of strawberries is divided into two containers, which are then shipped to different countries. 1-N transformation (split) N-1 transformation (merge) : In this case, component  NFTs merge into one NFT. This is like when parts are shipped or assembled into a complete car. N-1 transformation (merge) With these three types, all transformations can be covered. The smart contract executing the transformation locks the source NFT (removes it from circulation) and mints new NFTs in its place. To execute the transformation, the smart contract can verify certain conditions. For example, in the case of a container of berries, a split operation is only permitted if the mass of the resulting new NFTs matches the mass of the source NFT. The mass measurement is performed by reliable external oracles. We store the NFT metadata in the Beeson format developed for Swarm. The advantage of this is that it is verifiable on the blockchain, enabling the transformation smart contract to perform basic Merkle proof checks on the metadata based solely on the Swarm hash (Merkle root). For example, the full price is paid only if the product is manufactured according to a recipe that is confidential but its hash is known. Of course, there are many factors in a transformation that may be difficult or impossible to verify with a smart contract. In such cases, permission from external oracles is required for the transformation (e.g. the location of a vessel). This could be a single oracle or a group of oracles. In the latter case, the transformation can be executed if the majority of the group approves it. Finally, for the sake of example, let's follow this short supply chain: First, the producer picks the bio berries and packs them into a container. Subsequently, an independent validator checks the field and its bio certificate. Photos of the Real-World Asset are uploaded to Swarm, which is linked to the NFT as metadata. Thus, the NFT representing the food is created. Tons of berries go bad or require huge energy during logistics, so a nearby food processor is notified that a batch becomes available. A sales contract is drawn up between the processor and the producer, with the condition that if the location of the container is verified (IoT and logistics oracles, DePIN) on the buyer’s plant, the price will be paid and the buyer will be the owner of the NFT. The processor can merge it with other ingredients, machine capacities, and recipes, so an updated NFT is generated for wholesalers and retailers. On the packaging, a QR code with the NFT ID is placed. When a customer picks up the smoothie in the store, they can scan the QR code to download the metadata stored on Swarm, which can be authenticated based on the history stored on the blockchain. The product's CO2 and water footprint can be estimated most accurately from this metadata, supporting buyers to involve it in buying factors, thereby encouraging manufacturers to minimize CO2 emissions. This is how the trace.market project works in a nutshell. Currently, the project is in testing phase, welcoming API integrations to cope with the urging need for a transparent, Single Source of Truth in products’ sustainability, logistics, resiliency, quality, and custom but structured attributes. I plan to present the system's operation in depth, including the source code level, in a second article once the first version is complete. Kudos to Balint Drahota, the PM of trace.market for helping me clarify the concept, and inspiring me with excellent use cases.

Supply Chain Tracking with Ethereum Swarm and NFTs: a brief introduction of trace.market 

Product-Market Fit Tips for Startups: Insights From 20 Experts

This paper is available on arxiv under CC0 1.0 DEED license. Authors: (1) Salim Chouaki, LIX, CNRS, Inria, Ecole Polytechnique, Institut Polytechnique de Paris; (2) Oana Goga, LIX, CNRS, Inria, Ecole Polytechnique, Institut Polytechnique de Paris; (3) Hamed Haddadi, Imperial College London, Brave Software; (4) Peter Snyder, Brave Software. Table of Links Abstract and Introduction Background Measurement Methodology Results Limitations Related Work Conclusion, Acknowledgments, and References Appendix 6 RELATED WORK Search engines and online tracking received a lot of research attention. We review studies closest to our work. A first line of work has measured to which extent we can observe personalization in search engine results [23, 34] and ads [22]. For instance, Hannak et al. [23] have developed a methodology for measuring personalization in search results, applied it to Bing, Google, and DuckDuckGo, and found that Bing results are more personalized than Google ones while they did not notice any personalization for DuckDuckGo. A second line of work has focused on solutions to protect users’ privacy from search engines and prevent web profiling. Castellà-Roca et al. [12] presented a computationally efficient protocol that provides a distorted user profile to the search engine to preserve users’ privacy. Finally, several studies have proposed privacy-preserving search-personalizing solutions for search engines. For instance, Shen et al. [36] analyze various software architectures for personalized search and envision possible strategies with a client-sided personalization. Xu et al. [40] suggest helping users choose the content and degree of detail of the profile information built by search engines. To the best of our knowledge, there is no study investigating the privacy properties of the advertising systems used on private search engines. Search engines. Several works analyzed the usage of cross-site tracking techniques in the wild [15]. Chen et al. [13] propose a data flow tracking system to measure user tracking performed through first-party cookies. They found that more than 97% of the websites they have crawled have firstparty cookies set by third-party javascript and that on 57% of them, there is at least one cookie containing a unique user identifier diffused to multiple third parties. Roesner et al. [35] measured how user tracking occurs in the wild. They found that multiple parties track most commercial pages and estimate that several trackers can each capture more than 20% of a user’s browsing behavior. Koop et al. [26] analyzed a dataset of redirection chains in the wild and found that 11% of websites redirect to the same 100 top redirectors. Moreover, they demonstrate that these top redirectors could identify users on the most visited websites. Randall et al. [33] measure the frequency of UID smuggling in the wild and find that it is performed on more than 8% of all navigations in their dataset. We use a similar method to identify user identifiers among all cookie values and query parameters by implementing automatic filtering followed by a manual inspection. All these studies were conducted in the wild, and to the best of our knowledge, no study focuses on navigational tracking techniques performed on search engines. Online tracking.

Understanding the Privacy Risks of Popular Search Engine Advertising Systems: Related Work

This paper is available on arxiv under CC0 1.0 DEED license. Authors: (1) Salim Chouaki, LIX, CNRS, Inria, Ecole Polytechnique, Institut Polytechnique de Paris; (2) Oana Goga, LIX, CNRS, Inria, Ecole Polytechnique, Institut Polytechnique de Paris; (3) Hamed Haddadi, Imperial College London, Brave Software; (4) Peter Snyder, Brave Software. Table of Links Abstract and Introduction Background Measurement Methodology Results Limitations Related Work Conclusion, Acknowledgments, and References Appendix 7 CONCLUSION In this paper, we presented the first systematic study of the privacy properties of the advertising systems of five popular search engines: Two traditional ones, Google and Bing, and three private ones, DuckDuckGo, StartPage, and Qwant. We investigated whether, and to which extent, search engines through their advertising systems, engage in privacyharming behaviors that allow cross site tracking. Despite the privacy intentions and promises of private search engines, our findings reveal the failure of privacyfocused search engines to fully protect users’ privacy during ad interactions. Users on all measured search engines, including the privacy-focused ones, are subject to navigation-based tracking by third parties. We find that all search engines engage in bounce tracking when clicking on ads, where users are sent through several redirectors before reaching the ads’ destination websites. While private search engines themselves do not engage in user tracking, their reliance on traditional advertising systems (Microsoft or Google) renders users susceptible to tracking by those systems. Although we cannot directly attribute this tracking to the search engines themselves, it is evident that they are enabling it through their reliance on Microsoft and Google’s advertising systems. Inspecting the privacy policies of the search engines in light of our findings reveals interesting disparities. While our results demonstrate that Microsoft is capable of tracking DuckDuckGo users when they click on ads, DuckDuckGo asserts that Microsoft does not associate ad-click data with user profiles. On the other hand, Qwant, which also relies on Microsoft advertising for a significant fraction of its ads, do not document the utilization of ad-click data by Microsoft and whether it is used to enhance user profiles. Similarly, StartPage explicitly states that clicking on ads subjects users to the data collection policies of other websites. Our study highlights the need for increased attention to privacy protection within the advertising systems of search engines. One potential solution to protect users’ privacy for private search engines would be to reduce their reliance on third-party advertising systems. Developing their own advertising platform could provide greater control over privacy practices, although the feasibility and complexity of such an approach remain uncertain. Alternatively, private search engines could collaborate with advertising systems such as Microsoft and Google, forging partnerships that proactively tackle privacy concerns. For instance, private search engines could negotiate agreements with the ad provider that prevent redirecting users who click on ads placed within private search engines to additional third parties. This approach would minimize the extent of third-party tracking, limiting it to the ad provider only. Moreover, search engines like StartPage and Qwant could follow the lead of DuckDuckGo by seeking agreements with advertising systems to prevent the use of ad-click identifiers for user profile enrichment. These proactive steps would enhance user privacy while maintaining advertising partnerships with larger platforms. ACKNOWLEDGMENTS This research was supported in part by the French National Research Agency (ANR) through the ANR-17-CE23-0014, ANR-21-CE23-0031-02, and MIAI@Grenoble Alpes ANR19-P3IA-0003 grants and by the EU through the 101041223, 101021377, and 952215 grants. REFERENCES [1] Last accessed September 11, 2023. Ad Block engine in Rust. https://www.npmjs.com/package/adblock-rs [2] Last accessed September 11, 2023. Disconnect Entity List. https://github.com/mozilla-services/shavar-prodlists/blob/master/disconnect-entitylist.json [3] Last accessed September 11, 2023. DuckDuckGo seach engine. https://duckduckgo.com/ [4] Last accessed September 11, 2023. EasyList. https://easylist.to/easylist/easylist.txt [5] Last accessed September 11, 2023. EasyPrivacy. https://easylist.to/easylist/easyprivacy.txt [6] Last accessed September 11, 2023. MovieLens. https://movielens.org/ [7] Last accessed September 11, 2023. 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Last accessed September 11, 2023. Common questions about Google Ads Clicks and Analytics Sessions. https://support.google.com/analytics/answer/4588454?hl=en [25] Microsoft Help. Last accessed September 11, 2023. Auto-tagging of Microsoft Click ID. https://help.ads.microsoft.com/apex/index/3/en/60000 [26] Martin Koop, Erik Tews, and Stefan Katzenbeisser. 2020. In-Depth Evaluation of Redirect Tracking and Link Usage. Proceedings on Privacy Enhancing Technologies 2020 (10 2020), 394–413. https://doi.org/10.2478/popets-2020-0079 [27] Milica Mihajlija. Last accessed September 11, 2023. Cookies Having Independent Partitioned State (CHIPS). https://developer.chrome.com/docs/privacy-sandbox/chips/ [28] Milica Mihajlija. Last accessed September 11, 2023. Cookies Having Independent Partitioned State (CHIPS) origin trial. https://developer.chrome.com/blog/chips-origin-trial/ [29] NordVPN. Last accessed September 11, 2023. The best private search engines for secure browsing. https://nordvpn.com/blog/privatesearch-engines/ [30] DuckDuckGo Help Pages. Last accessed September 11, 2023. Company - Advertising and Affiliates. https://help.duckduckgo.com/duckduckgohelp-pages/company/advertising-and-affiliates/ [31] DuckDuckGo Help Pages. Last accessed September 11, 2023. Privacy - Anonymous Localized Results. https://help.duckduckgo.com/privacy/anonymous-localized-results/ [32] Qwant. Last accessed September 11, 2023. Legal information. https://about.qwant.com/en/legal/confidentialite [33] Audrey Randall, Peter Snyder, Alisha Ukani, Alex C Snoeren, Geoffrey M Voelker, Stefan Savage, and Aaron Schulman. 2022. Measuring UID smuggling in the wild. In Proceedings of the 22nd ACM Internet Measurement Conference. 230–243. [34] Shamma Rashed, Tasnim Said, Amal Abdulrahman, Arsiema Yohannes, and Monther Aldwairi. 2022. Evaluating Web Search Engines Results for Personalization and User Tracking. (2022). https://doi.org/10.48550/ARXIV.2211.11518 [35] Franziska Roesner, Tadayoshi Kohno, and David Wetherall. 2012. Detecting and Defending against Third-Party Tracking on the Web. In Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation (San Jose, CA) (NSDI’12). USENIX Association, USA, 12. [36] Xuehua Shen, Bin Tan, and ChengXiang Zhai. 2007. Privacy Protection in Personalized Search. SIGIR Forum 41, 1 (jun 2007), 4–17. https://doi.org/10.1145/1273221.1273222 [37] StartPage. Last accessed September 11, 2023. Can I advertise on StartPage? https://support.startpage.com/hc/en-us/articles/5076181310612-Can-I-advertise-on-Startpage- [38] StartPage. Last accessed September 11, 2023. Privacy Policy. https://www.startpage.com/en/privacy-policy [39] WebKit. Last accessed September 11, 2023. Tracking Prevention Policy. https://webkit.org/tracking-prevention-policy/ [40] Yabo Xu, Ke Wang, Benyu Zhang, and Zheng Chen. 2007. PrivacyEnhancing Personalized Web Search (WWW ’07). Association for Computing Machinery, New York, NY, USA, 591–600. https://doi.org/10.1145/1242572.1242652

Privacy Risks of Search Engine Advertising Systems: Conclusion, Acknowledgments, and References

PIECHAIN Demo: Exploring a Practical Blockchain Interoperability Framework

পাইচেন ডেমো: একটি ব্যবহারিক ব্লকচেইন ইন্টারঅপারেবিলিটি ফ্রেমওয়ার্ক অন্বেষণ করা

PIECHAIN-Demo: Erkundung eines praktischen Blockchain-Interoperabilitätsrahmens

Demostración de PIECHAIN: Explorando un marco práctico de interoperabilidad de Blockchain

Démo PIECHAIN : Explorer un cadre pratique d'interopérabilité de la blockchain

PIECHAIN डेमो: एक व्यावहारिक ब्लॉकचेन इंटरऑपरेबिलिटी फ्रेमवर्क की खोज

PIECHAIN デモ: 実用的なブロックチェーン相互運用性フレームワークの探究

PIECHAIN 데모: 실용적인 블록체인 상호 운용성 프레임워크 탐색

Demonstração PIECHAIN: Explorando uma estrutura prática de interoperabilidade Blockchain

Демонстрация PIECHAIN: изучение практической структуры взаимодействия блокчейнов

PIECHAIN Demosu: Pratik Bir Blockchain Birlikte Çalışabilirlik Çerçevesini Keşfetmek

Bản trình diễn PIECHAIN: Khám phá Khung tương tác Blockchain thực tế

PIECHAIN 演示：探索实用的区块链互操作性框架

Biometrics: A Beacon of Trust in the Digital Media Landscape

By Alex Korotkov, CEO @ PineOx.com Hello, everyone. My name is Alex Korotkov. I'm a serial startup founder. I've developed several social apps previously with millions of Daily Active Users, including apps for Fox Sports, Liverpool FC, PSG, RMC Sport, and more. Also, I was an internationally acknowledged political prisoner in Belarus, and that's why I chose to start a startup in the social sphere. Despite the technological and chemical advancements of the last decades, 99.9% of CO2 extraction from the atmosphere still relies on trees and soil. This fundamental reality underpins our mission at PineOx, where we harness the power of technology not to replace, but to amplify these natural processes. Our approach is simple yet profound: facilitate tree planting on a massive scale to combat climate change effectively. As the CEO of PineOx and a software developer with over a decade of experience in creating apps, I have directed our efforts toward developing a platform that empowers individuals worldwide to participate in environmental preservation. Our application not only makes it easier for anyone to contribute to stopping climate change but also ensures that their efforts are transparent and impactful. Tech-Driven Solutions At PineOx, we leverage emerging technologies to enhance our tree-planting efforts. These technologies allow us to track the growth and carbon sequestration impact of each tree, ensuring every participant can see the tangible results of their contributions. We initiated PineOx because polls showed a significant increase in demand for solutions that enable widespread participation in climate action. The services currently available on the market, primarily from non-profits, lack the transparency and social components necessary for a B2C tool to succeed. By filling this gap, we aim to engage as many people as possible in becoming more environmentally responsible. Every tree planted through our app comes with a digital twin, represented by an image and location data. This feature allows our users to verify the progress of their seedlings either by visiting the planting sites or by viewing satellite imagery available on platforms like Google Maps. Engagement Through Innovation One of our core challenges is differentiating ourselves in a crowded market. At PineOx, we bet on a unique and engaging user experience through simple yet unorthodox mechanics. Users engage with our platform by completing sustainability quizzes, and PineOx commits to planting a real tree for every two quizzes completed. We then send the user an image and location of the planted tree, thus maintaining a transparent and direct connection between our users' actions and their environmental impact. Our app educates users about their CO2 footprint through an intuitive interface that calculates their annual emissions. We then translate these figures into the number of trees needed to offset their footprint, usually one tree every 7-14 days, depending on their lifestyle habits. This educational tool has surprised many of our users, who often don't realize the extent of their impact on the environment. To keep users engaged and informed about the importance of their contributions, especially during significant events like Earth Day, PineOx sends push notifications reminding them to plant more trees to maintain their CO2 neutrality. This reminder is not just a nudge; it's an invitation to participate further in quizzes that deepen their understanding of their environmental impact. Future Outlook Looking forward, PineOx is committed to expanding our technological capabilities to further enhance our environmental impact. Our future roadmap includes integrating more advanced digital solutions to enable broader participation in tree planting, addressing the urgent need to counteract rapid deforestation. By focusing on scalable solutions, PineOx aims to plant billions of trees each year, bridging the gap between deforestation and reforestation rates and ensuring a healthier planet for future generations. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here. By Alex Korotkov, CEO @ PineOx.com By Alex Korotkov, CEO @ PineOx.com By Alex Korotkov, CEO @ PineOx.com Hello, everyone. My name is Alex Korotkov. I'm a serial startup founder. I've developed several social apps previously with millions of Daily Active Users, including apps for Fox Sports, Liverpool FC, PSG, RMC Sport, and more. Also, I was an internationally acknowledged political prisoner in Belarus, and that's why I chose to start a startup in the social sphere. Despite the technological and chemical advancements of the last decades, 99.9% of CO2 extraction from the atmosphere still relies on trees and soil. This fundamental reality underpins our mission at PineOx, where we harness the power of technology not to replace, but to amplify these natural processes. Our approach is simple yet profound: facilitate tree planting on a massive scale to combat climate change effectively. As the CEO of PineOx and a software developer with over a decade of experience in creating apps, I have directed our efforts toward developing a platform that empowers individuals worldwide to participate in environmental preservation. Our application not only makes it easier for anyone to contribute to stopping climate change but also ensures that their efforts are transparent and impactful. Tech-Driven Solutions Tech-Driven Solutions At PineOx, we leverage emerging technologies to enhance our tree-planting efforts. These technologies allow us to track the growth and carbon sequestration impact of each tree, ensuring every participant can see the tangible results of their contributions. We initiated PineOx because polls showed a significant increase in demand for solutions that enable widespread participation in climate action. The services currently available on the market, primarily from non-profits, lack the transparency and social components necessary for a B2C tool to succeed. By filling this gap, we aim to engage as many people as possible in becoming more environmentally responsible. Every tree planted through our app comes with a digital twin, represented by an image and location data. This feature allows our users to verify the progress of their seedlings either by visiting the planting sites or by viewing satellite imagery available on platforms like Google Maps. Engagement Through Innovation Engagement Through Innovation One of our core challenges is differentiating ourselves in a crowded market. At PineOx, we bet on a unique and engaging user experience through simple yet unorthodox mechanics. Users engage with our platform by completing sustainability quizzes, and PineOx commits to planting a real tree for every two quizzes completed. We then send the user an image and location of the planted tree, thus maintaining a transparent and direct connection between our users' actions and their environmental impact. Our app educates users about their CO2 footprint through an intuitive interface that calculates their annual emissions. We then translate these figures into the number of trees needed to offset their footprint, usually one tree every 7-14 days, depending on their lifestyle habits. This educational tool has surprised many of our users, who often don't realize the extent of their impact on the environment. To keep users engaged and informed about the importance of their contributions, especially during significant events like Earth Day, PineOx sends push notifications reminding them to plant more trees to maintain their CO2 neutrality. This reminder is not just a nudge; it's an invitation to participate further in quizzes that deepen their understanding of their environmental impact. Future Outlook Future Outlook Looking forward, PineOx is committed to expanding our technological capabilities to further enhance our environmental impact. Our future roadmap includes integrating more advanced digital solutions to enable broader participation in tree planting, addressing the urgent need to counteract rapid deforestation. By focusing on scalable solutions, PineOx aims to plant billions of trees each year, bridging the gap between deforestation and reforestation rates and ensuring a healthier planet for future generations. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here . here

Tech-Driven Tree Planting: How PineOx Moves Beyond Traditional Methods

টেক-চালিত বৃক্ষ রোপণ: কিভাবে PineOx প্রথাগত পদ্ধতির বাইরে চলে যায়

Technologiegestützte Baumpflanzung: Wie PineOx über traditionelle Methoden hinausgeht

Plantación de árboles impulsada por la tecnología: cómo PineOx va más allá de los métodos tradicionales

Plantation d'arbres basée sur la technologie : comment PineOx va au-delà des méthodes traditionnelles

तकनीक-संचालित वृक्षारोपण: पाइनऑक्स कैसे पारंपरिक तरीकों से आगे बढ़ता है

テクノロジーを活用した植樹: PineOx が従来の方法を超える方法

기술 중심 나무 심기: PineOx가 전통적인 방법을 뛰어넘는 방법

Plantio de árvores baseado em tecnologia: como o PineOx vai além dos métodos tradicionais

Посадка деревьев на основе технологий: как PineOx выходит за рамки традиционных методов

Teknoloji Odaklı Ağaç Dikimi: PineOx Geleneksel Yöntemlerin Ötesine Nasıl Geçiyor?

Trồng cây dựa trên công nghệ: PineOx vượt xa các phương pháp truyền thống như thế nào

科技驱动的植树：PineOx 如何超越传统方法

HyperTransformer: Conclusion and References

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com;
(2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com;
(3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. Table of Links Abstract and Introduction
Problem Setup and Related Work
HyperTransformer
Experiments
Conclusion and References
A Example of a Self-Attention Mechanism For Supervised Learning
B Model Parameters
C Additional Supervised Experiments
D Dependence On Parameters and Ablation Studies
E Attention Maps of Learned Transformer Models
F Visualization of The Generated CNN Weights
G Additional Tables and Figures Problem Setup and Related Work 2.1 FEW-SHOT LEARNING 2.2 RELATED WORK Few-shot learning received a lot of attention from the deep learning community and while there are hundreds of few-shot learning methods, several common themes emerged in the past years. Here we outline several existing approaches, show how they relate to our method and discuss the prior work related to it. Metric-Based Learning. One family of approaches involves mapping input samples into an embedding space and then using some nearest neighbor algorithm that relies on the computation of distances from a query sample embedding to the embedding computed using support samples with known labels. The metric used to compute the distance can either be the same for all tasks, or can be task-dependent. This family of methods includes, for example, such methods as Siamese networks (Koch et al., 2015), Matching Networks (Vinyals et al., 2016), Prototypical Networks (Snell et al., 2017), Relation Networks (Sung et al., 2018) and TADAM (Oreshkin et al., 2018). It has recently been argued (Tian et al., 2020) that methods based on building a powerful sample representation can frequently outperform numerous other approaches including many optimization-based methods. However, such approaches essentially amount to the “one-model solves all” approach and thus require larger models than needed to solve individual tasks. Weight Modulation and Generation. The idea of using a task specification to directly generate or modulate model weights has been previously explored in the generalized supervised learning context (Ratzlaff & Li, 2019) and in specific language models (Mahabadi et al., 2021; Tay et al., 2021; Ye & Ren, 2021). Some few-shot learning methods described above also employ this approach and use task-specific generation or modulation of the weights of the final classification model. For example, in LGM-Net (Li et al., 2019b) the matching network approach is used to generate a few layers on top of a task-agnostic embedding. Another approach abbreviated as LEO (Rusu et al., 2019) utilized a similar weight generation method to generate initial model weights from the training dataset in a few-shot learning setting, much like what is proposed in this article. However, in Rusu et al. (2019), the generated weights were also refined using several SGD steps similar to how it is done in MAML. Here we explore a similar idea, but largely inspired by the HYPERNETWORK approach (Ha et al., 2017), we instead propose to directly generate an entire task-specific CNN model. Unlike LEO, we do not rely on pre-computed embeddings for images and generate the model in a single step without additional SGD steps, which simplifies and stabilizes training. Transformers in Computer Vision and Few-Shot Learning. Transformer models (Vaswani et al., 2017) originally proposed for natural language understanding applications, had since become a useful tool in practically every subfield of deep learning. In computer vision, transformers have recently seen an explosion of applications ranging from state-of-the-art image classification results (Dosovitskiy et al., 2021; Touvron et al., 2021) to object detection (Carion et al., 2020; Zhu et al., 2021), segmentation (Ye et al., 2019), image super-resolution (Yang et al., 2020), image generation (Chen et al., 2021) and many others. There are also several notable applications in few-shot image classification. For example, in Liu et al. (2021), the transformer model was used for generating universal representations in the multi-domain few-shot learning scenario. And closely related to our approach, in Ye et al. (2020), the authors proposed to accomplish embedding adaptation with the help of transformer models. Unlike our method that generates an entire end to-end image classification model, this approach applied a task-dependent perturbation to an embedding generated by an independent task-agnostic feature extractor. In Gidaris & Komodakis (2018), a simplified attention-based model was used for the final layer generation. This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention Mechanism For Supervised Learning B Model Parameters C Additional Supervised Experiments D Dependence On Parameters and Ablation Studies E Attention Maps of Learned Transformer Models F Visualization of The Generated CNN Weights G Additional Tables and Figures Abstract and Introduction Abstract and Introduction Problem Setup and Related Work Problem Setup and Related Work HyperTransformer HyperTransformer Experiments Experiments Conclusion and References Conclusion and References A Example of a Self-Attention Mechanism For Supervised Learning A Example of a Self-Attention Mechanism For Supervised Learning B Model Parameters B Model Parameters C Additional Supervised Experiments C Additional Supervised Experiments D Dependence On Parameters and Ablation Studies D Dependence On Parameters and Ablation Studies E Attention Maps of Learned Transformer Models E Attention Maps of Learned Transformer Models F Visualization of The Generated CNN Weights F Visualization of The Generated CNN Weights G Additional Tables and Figures G Additional Tables and Figures Problem Setup and Related Work 2.1 FEW-SHOT LEARNING 2.2 RELATED WORK Few-shot learning received a lot of attention from the deep learning community and while there are hundreds of few-shot learning methods, several common themes emerged in the past years. Here we outline several existing approaches, show how they relate to our method and discuss the prior work related to it. Metric-Based Learning. One family of approaches involves mapping input samples into an embedding space and then using some nearest neighbor algorithm that relies on the computation of distances from a query sample embedding to the embedding computed using support samples with known labels. The metric used to compute the distance can either be the same for all tasks, or can be task-dependent. This family of methods includes, for example, such methods as Siamese networks (Koch et al., 2015), Matching Networks (Vinyals et al., 2016), Prototypical Networks (Snell et al., 2017), Relation Networks (Sung et al., 2018) and TADAM (Oreshkin et al., 2018). It has recently been argued (Tian et al., 2020) that methods based on building a powerful sample representation can frequently outperform numerous other approaches including many optimization-based methods. However, such approaches essentially amount to the “one-model solves all” approach and thus require larger models than needed to solve individual tasks. Metric-Based Learning. Weight Modulation and Generation. The idea of using a task specification to directly generate or Weight Modulation and Generation. modulate model weights has been previously explored in the generalized supervised learning context (Ratzlaff & Li, 2019) and in specific language models (Mahabadi et al., 2021; Tay et al., 2021; Ye & Ren, 2021). Some few-shot learning methods described above also employ this approach and use task-specific generation or modulation of the weights of the final classification model. For example, in LGM-Net (Li et al., 2019b) the matching network approach is used to generate a few layers on top of a task-agnostic embedding. Another approach abbreviated as LEO (Rusu et al., 2019) utilized a similar weight generation method to generate initial model weights from the training dataset in a few-shot learning setting, much like what is proposed in this article. However, in Rusu et al. (2019), the generated weights were also refined using several SGD steps similar to how it is done in MAML. Here we explore a similar idea, but largely inspired by the HYPERNETWORK approach (Ha et al., 2017), we instead propose to directly generate an entire task-specific CNN model. Unlike LEO, we do not rely on pre-computed embeddings for images and generate the model in a single step without additional SGD steps, which simplifies and stabilizes training. Transformers in Computer Vision and Few-Shot Learning. Transformer models (Vaswani et al., 2017) originally proposed for natural language understanding applications, had since become a useful tool in practically every subfield of deep learning. In computer vision, transformers have recently seen an explosion of applications ranging from state-of-the-art image classification results (Dosovitskiy et al., 2021; Touvron et al., 2021) to object detection (Carion et al., 2020; Zhu et al., 2021), segmentation (Ye et al., 2019), image super-resolution (Yang et al., 2020), image generation (Chen et al., 2021) and many others. There are also several notable applications in few-shot image classification. For example, in Liu et al. (2021), the transformer model was used for generating universal representations in the multi-domain few-shot learning scenario. And closely related to our approach, in Ye et al. (2020), the authors proposed to accomplish embedding adaptation with the help of transformer models. Unlike our method that generates an entire end to-end image classification model, this approach applied a task-dependent perturbation to an embedding generated by an independent task-agnostic feature extractor. In Gidaris & Komodakis (2018), a simplified attention-based model was used for the final layer generation. Transformers in Computer Vision and Few-Shot Learning.

HyperTransformer: Problem Setup and Related Work

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