Reliance Retail Store, Shri Kannan Departmental Store, which is situated in Tamil Nadu’s Madurai, is live through Fynd on ONDC’s seller side.

Reliance Retail Begins ONDC Pilot through Fynd: Report

Reliance Retail, a subsidiary of Reliance Industries, has begun testing the government&#x27;s Open Network for Digital Commerce (ONDC) through Fynd, an omnichannel retail platform in which Reliance holds an investment.

Reliance Retail: Reliance Retail starts ONDC pilot via retail platform Fynd - The Economic Times

One Reliance Retail store, Shri Kannan Departmental Store in Madurai, Tamil Nadu, is live on the seller side of ONDC through Fynd.

Reliance Retail Initiates Pilot Programme On ONDC Via Fynd

Fynd is India&#x27;s largest omnichannel ecosystem and multi-platform tech company. Founded in 2012 and headquartered in Mumbai. We have modernized retail strategies for more than 1000 brands &amp; created a rich suite of tech products. Rooted in technology &amp; innovation, Fynd has ... Read more

Working at Fynd | Glassdoor

As per Inc42 sources, Fynd is converting into a public company to comply with SEBI’s regulations which seeks a subsidiary of a listed company to convert into a public company.

Exclusive: Reliance Owned O2O Fashion Platform Fynd Converts Into ...

Fynd - Online retailer offering multi-category products. Acquired by Reliance Industries. Raised a total funding of $16M over 5 rounds from 90 investors. Valued at $42.5M. Founded by Farooq Adam Mukadam, Harsh Shah Deepak and 1 other in the year 2012. Fynd has 1578 competitors.

Fynd - Company Profile - Tracxn

Fynd brings focus back to customers and drives interactions within the brand&#x27;s omnichannel ecosystem⁠—ultimately, unlocking sales and engagement. Initially incepted as Shopsense Retail Technologies Ltd in 2012, we pivoted to Fynd in October 2015. Today, we are over 1100 employees, and are ...

About-us - Fynd Omnichannel Solutions

Shopsense Retail Technology Private Limited, d/b/a Fynd is an Indian e-commerce company based in Mumbai, Maharashtra, India. It provides an omnichannel, online-to-offline platform to fashion retailers, by sourcing products and getting their inventory on its online marketplace.[1]

Fynd - Wikitia

See insights on Fynd including office locations, competitors, revenue, financials, executives, subsidiaries and more at Craft.

Fynd Company Profile - Office Locations, Competitors, Financials, ...

Fynd (Shopsense Retail Technologies Ltd.) | 48,254 followers on LinkedIn. India&#x27;s largest omnichannel platform helping retail businesses accelerate growth. Get a demo today! | Fynd is India&#x27;s largest omnichannel ecosystem and multi-platform tech company. Headquartered in Mumbai and founded ...

Fynd (Shopsense Retail Technologies Ltd.) | LinkedIn

Fynd

fynd

British Virgin Islands, November 7th 2024 — Cytonic, the world’s first multi-virtual-machine blockchain, today announced it has raised $8.3 million in a seed funding round co-led by Lattice and Lemniscap, with participation from IOBC, Nomura, Lyrik, Public Works, Arthur Hayes and other notable investors. Developed by MultiVM Labs, Cytonic is a decentralized execution layer that tackles one of the blockchain industry’s most pressing challenges: compatibility. As fragmentation across multiple chains continues to grow, developers and users face increasing barriers that limit the full potential of blockchain technology. Cytonic introduces the first Layer 1 blockchain capable of running multiple virtual machines within the same network layer while using shared storage. This breakthrough allows transactions involving different state transition functions (STFs) to be processed together within a single state transition. Currently, Cytonic is designed to be identical to both Ethereum and Solana, enabling all existing tooling, wallets, and decentralized applications (dApps) that operate on EVM and SVM chains to function seamlessly on Cytonic. Cytonic minimizes transaction fees and reduces waiting times for moving assets between chains, making decentralized applications more accessible and user-friendly. On the Cytonic blockchain, users can swap assets across different VMs atomically without rollback issues or cross-chain vulnerabilities. For example, users can swap Base tokens (ERC20) for Solana tokens (SPL) within the same liquidity pool on a single decentralized exchange (DEX), radically increasing capital efficiency. This approach fundamentally addresses interoperability challenges and vulnerabilities inherited from hundreds of different blockchain architectures, all while maintaining full compatibility with them. Having experienced firsthand how compatibility issues hinder growth across the crypto industry, Cytonic Founder Ivan Miskovic recognized the critical need for a solution that simplifies horizontal scaling for applications and addresses liquidity management challenges for users. Ivan, former Executive at Spin Labs, along with his co-executives—Chelsea, former Partner at Foresight Ventures, and Badconfig, former Senior Engineer at Faraway—have years of experience building and investing in decentralized technologies across Bitcoin, Ethereum, Solana, Near, and other notable projects. United by a shared vision to resolve blockchain’s compatibility challenges, the Cytonic team is dedicated to making on-chain interactions easier and more efficient for all participants. Thanks to its EVM and SVM compatibility, projects from any EVM or SVM chain can seamlessly migrate to Cytonic and tap into liquidity from different networks without the usual complexities of cross-chain operations or chain abstraction. This breakthrough in core infrastructure compatibility enables developers to deploy existing applications on Cytonic without rewriting any code, streamlining both development and growth processes. Projects can harness the unique strengths of different virtual machines while maintaining universal compatibility on the network. This not only simplifies the user experience but also reduces fragmentation, enhances ecosystem diversity, and makes blockchain technology more accessible and practical for widespread adoption. Ivan Miskovic, Founder of Cytonic, said: “Sincere thanks to our investors for backing our vision to bridge the gaps between blockchains and unlock new opportunities for developers and users alike. We are enabling any wallet from any chain to store any type of asset on Cytonic, greatly simplifying user experiences and broadening accessibility at a critical juncture in the Web3 development cycle. We are just getting started.” Regan Bozman, GP at Lattice, said: “We are proud to have co-led this $8.3 million round for Cytonic. As the blockchain ecosystem continues to grow, many innovative projects struggle with liquidity and compatibility due to the diverse range of blockchains available. Cytonic is tackling these compatibility issues head-on, breaking down the silos between blockchains while promoting greater collaboration, innovation, and adoption across the Web3 space.” About Cytonic Cytonic is pioneering the first multi-virtual-machine blockchain, with a mission to seamlessly integrate diverse networks like Bitcoin, Ethereum, and Solana into a unified Layer 1 blockchain solution. Operating on a global scale, Cytonic ensures connectivity and interoperability across multiple decentralized networks. Website X [Discord](https://: <https://discord.gg/K3RgfYS5](https://discord.gg/K3RgfYS5)) Media contact: Lorcan@forewordventure.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here British Virgin Islands, November 7th 2024 — Cytonic, the world’s first multi-virtual-machine blockchain, today announced it has raised $8.3 million in a seed funding round co-led by Lattice and Lemniscap, with participation from IOBC, Nomura, Lyrik, Public Works, Arthur Hayes and other notable investors. British Virgin Islands, November 7th 2024 Developed by MultiVM Labs , Cytonic is a decentralized execution layer that tackles one of the blockchain industry’s most pressing challenges: compatibility. As fragmentation across multiple chains continues to grow, developers and users face increasing barriers that limit the full potential of blockchain technology. MultiVM Labs MultiVM Labs Cytonic introduces the first Layer 1 blockchain capable of running multiple virtual machines within the same network layer while using shared storage. This breakthrough allows transactions involving different state transition functions (STFs) to be processed together within a single state transition. Currently, Cytonic is designed to be identical to both Ethereum and Solana, enabling all existing tooling, wallets, and decentralized applications (dApps) that operate on EVM and SVM chains to function seamlessly on Cytonic. Cytonic minimizes transaction fees and reduces waiting times for moving assets between chains, making decentralized applications more accessible and user-friendly. On the Cytonic blockchain, users can swap assets across different VMs atomically without rollback issues or cross-chain vulnerabilities. For example, users can swap Base tokens (ERC20) for Solana tokens (SPL) within the same liquidity pool on a single decentralized exchange (DEX), radically increasing capital efficiency. This approach fundamentally addresses interoperability challenges and vulnerabilities inherited from hundreds of different blockchain architectures, all while maintaining full compatibility with them. Having experienced firsthand how compatibility issues hinder growth across the crypto industry, Cytonic Founder Ivan Miskovic recognized the critical need for a solution that simplifies horizontal scaling for applications and addresses liquidity management challenges for users. Ivan Miskovic Ivan Miskovic Ivan, former Executive at Spin Labs, along with his co-executives— Chelsea , former Partner at Foresight Ventures, and Badconfig , former Senior Engineer at Faraway—have years of experience building and investing in decentralized technologies across Bitcoin, Ethereum, Solana, Near, and other notable projects. United by a shared vision to resolve blockchain’s compatibility challenges, the Cytonic team is dedicated to making on-chain interactions easier and more efficient for all participants. Chelsea Chelsea Badconfig Badconfig Thanks to its EVM and SVM compatibility, projects from any EVM or SVM chain can seamlessly migrate to Cytonic and tap into liquidity from different networks without the usual complexities of cross-chain operations or chain abstraction. This breakthrough in core infrastructure compatibility enables developers to deploy existing applications on Cytonic without rewriting any code, streamlining both development and growth processes. Projects can harness the unique strengths of different virtual machines while maintaining universal compatibility on the network. This not only simplifies the user experience but also reduces fragmentation, enhances ecosystem diversity, and makes blockchain technology more accessible and practical for widespread adoption. Ivan Miskovic, Founder of Cytonic, said: “Sincere thanks to our investors for backing our vision to bridge the gaps between blockchains and unlock new opportunities for developers and users alike. We are enabling any wallet from any chain to store any type of asset on Cytonic, greatly simplifying user experiences and broadening accessibility at a critical juncture in the Web3 development cycle. We are just getting started.” Ivan Miskovic, Founder of Cytonic, said: “Sincere thanks to our investors for backing our vision to bridge the gaps between blockchains and unlock new opportunities for developers and users alike. We are enabling any wallet from any chain to store any type of asset on Cytonic, greatly simplifying user experiences and broadening accessibility at a critical juncture in the Web3 development cycle. We are just getting started.” Regan Bozman, GP at Lattice, said: “We are proud to have co-led this $8.3 million round for Cytonic. As the blockchain ecosystem continues to grow, many innovative projects struggle with liquidity and compatibility due to the diverse range of blockchains available. Cytonic is tackling these compatibility issues head-on, breaking down the silos between blockchains while promoting greater collaboration, innovation, and adoption across the Web3 space.” Regan Bozman, GP at Lattice, said: “We are proud to have co-led this $8.3 million round for Cytonic. As the blockchain ecosystem continues to grow, many innovative projects struggle with liquidity and compatibility due to the diverse range of blockchains available. Cytonic is tackling these compatibility issues head-on, breaking down the silos between blockchains while promoting greater collaboration, innovation, and adoption across the Web3 space.” About Cytonic Cytonic is pioneering the first multi-virtual-machine blockchain, with a mission to seamlessly integrate diverse networks like Bitcoin, Ethereum, and Solana into a unified Layer 1 blockchain solution. Operating on a global scale, Cytonic ensures connectivity and interoperability across multiple decentralized networks. Website Website X X [Discord](https://: <https://discord.gg/K3RgfYS5](https://discord.gg/K3RgfYS5)) Media contact: Lorcan@forewordventure.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Cytonic Secures $8.3 Million Seed Funding To Solve Blockchain Compatibility

Cytonic verseker $8,3 miljoen saadbefondsing om Blockchain-versoenbaarheid op te los

የብሎክቼይን ተኳሃኝነትን ለመፍታት ሳይቶኒክ የ8.3 ሚሊዮን ዶላር ዘር ድጋፍን ያረጋግጣል

Cytonic, Blockchain uyğunluğunun həlli üçün 8,3 milyon dollarlıq toxum maliyyəsini təmin edir

Cytonic забяспечвае пачатковае фінансаванне ў памеры 8,3 мільёна долараў для вырашэння сумяшчальнасці блокчейна

Cytonic осигурява първоначално финансиране от $8,3 милиона за разрешаване на съвместимостта на блокчейн

Cytonic assegura un finançament inicial de 8,3 milions de dòlars per resoldre la compatibilitat de la cadena de blocs

Cytonic obtiene 8,3 millones de dólares de financiación inicial para resolver la compatibilidad de blockchain

Cytonic מאבטחת מימון סיד של 8.3 מיליון דולר כדי לפתור תאימות לבלוקצ'יין

Cytonic osigurava početno financiranje od 8,3 milijuna dolara za rješavanje kompatibilnosti blokova

Cytonic Sekirize $8.3 Milyon Finansman Semans Pou Rezoud Konpatibilite Blockchain

Cytonic、ブロックチェーンの互換性問題を解決するために830万ドルのシード資金を確保

Cytonic verzekert zich van $8,3 miljoen startkapitaal om blockchain-compatibiliteit op te lossen

The HackerNoon Newsletter: The Reality of Digital Nomads: Chasing Adventure, Finding What? (11/2/2024)

In July 2023, I had the opportunity to start working remotely for a couple of blockchain companies. Not wanting to waste a single moment of this opportunity, I dove into a digital nomad lifestyle, traveling across three continents, 13 countries, and 20 cities over the course of a year. Even before I graduated college, I started working in an office at an IT startup, so after three and a half years of office work, there was nothing more liberating and enchanting than opening my MacBook in cafés with an uniquely exotic backdrops. The freedom to go anywhere I wanted was ecstasy. During the first three months of remote work, I probably visited almost every café in Seoul. Then, I went on a trip to Europe with my parents and also visited my sister in Philadelphia, working remotely while traveling freely. Then, at the beginning of 2024, I decided to set off to Southeast Asia, starting with a month-long stay in Bangkok, the mecca for digital nomads in Asia after Bali. Experienced digital nomads would usually pack as lightly as possible, but as an overjoyed beginner, I left home with a fully packed 25kg suitcase and a 7kg carry-on. Of course, I regretted it several times along the way. My luggage included multiple dresses that would have been a bit too flashy to wear in Korea, along six pairs of shoes in anticipation of any special occasion that might just come up. I was so thrilled that I even published a post on my Medium blog titled How I Became a Digital Nomad in 6 Months With No Coding Skills. At the time of the post, I only had 22 subscribers, but it gained quite a bit of traction, attracting 20 new fans and receiving over 100 reactions. Seeing the enthusiastic response to my blog, which remains my most popular piece to this day, I was able to reaffirm that this lifestyle is something many people aspire to. This reaffirmation became very valuable to me because, in reality, the digital nomad life I experienced was lonely, unstable, and extremely stressful. The idea of breaking free from the constraints of traditional work and daily life felt like such an adventure for me. I thought that my days would be filled with delightful peaks if I just stepped outside of my regular routine—so much so that I packed six pairs of shoes! But reality turned out to be quite different. Settling into new places is undoubtedly fun and exciting, but even the excitement of newness becomes routine after about two weeks - but this is all on just the surface-level of our perception. Within our subconscious systems, circuits and gears are working tirelessly to adapt to the new environments we’ve placed ourselves in. When we’re in unfamiliar surroundings, our brain’s orientation system activates. This system helps us navigate our surroundings, recognize patterns, and adjusts our behavior accordingly. The hippocampus and amygdala play key roles in this process, helping us to perceive and remember spatial information and evaluate safety within those spaces. This cognitive load that comes from processing a vast amount of new stimuli and situations consumes significant brain energy, unlike the familiar routine tasks that used to take minimal effort. Imagine your brain only used to walk familiar paths, but now everywhere needs is new and needs to be calculated. As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. I never stayed in a single city for over a month. I had believed the best way to get the most of remote work was to explore as many places as possible. The second reason was that until I felt certain that this was the right place to settle down, I didn’t want to deal with the uninspiring hassle of administrative procedures like visa issuance. At that time, my job involved frequent business trips, so I often planned my travels by extending my stay for a few weeks at the locations I visited for work. However, my ambition in wanting to see the world, and failure to take the leap and commit resulted in a cumulative unconscious workload of constantly having to adapt to multiple places in a short period—which scientifically resulted into stress. Moreover, I had full-time work on my plate, which psychologically felt like a heavier burden than it should have been. I was working more hours and on the weekends trying to make up for the time that I spent unfocused. I often found myself getting irritated with people around me, fearing I wouldn’t complete tasks on time, or becoming almost obsessive about getting things done in a certain way. I think I had this underlying sense of being unable to control my life in constantly changing environments, and it was quite overwhelming. Excerpt from my journal entry on the 12th of February, 2024 which is 19 days after I arrive in Bangkok. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Back home, I maintained a regular routine with five workouts a week with home-cooked meals. However, when my fatigue level reached its peak, it became difficult to stick to my regular exercise routine at local gyms, and even cooking meals at home became a luxury once I started traveling. I knew that home-cooked meals are the best, so I bought the necessary soy sauce, Gochujang, Mulyeot etc. that were needed to cook Korean meals when I arrived at my first destination in Southeast Asia. However, I didn’t even get to use a quarter of them before leaving them behind as I moved on to Phuket, making eating out was much less wasteful. Korean food abroad is more expensive than it is in Korea, and healthy meals are just as pricey. So, I mostly relied on local cuisine, and found it increasingly difficult to keep up with the oily fried dishes and unfamiliar flavors. While it's quite obvious that traveling would make it hard to maintain the diet I wanted, I intend to highlight the irony of how gaining freedom in place means but losing freedom in meals. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. In fact, historically, nomadic living was primarily based on collective or communal life. However, digital nomads don't travel with their community. They travel alone, or sometimes as a couple. So in my joke, the word "home" in "digital homeless" doesn’t refer to a house or an apartment, but rather to a community where one belongs— family, friends, colleagues, and neighbors. Yes, there are digital nomad communities that can be accessed anywhere in the world, but those digital nomad communities can be more simply put as ‘a group of strangers that hosts co-working and after hour bar sessions’. A community isn’t a community until it starts feeling like yours over a period of time. A segment of people from history that actually resembles a digital nomad would be the Mountain Hermits and Monastic Wanderers. For example, Christian hermits in medieval Europe or wandering Buddhist monks in East Asia often chose to live away from home, moving from place to place to find spiritual enlightenment, or solitude. So, why do people choose the digital nomad lifestyle? Like the wandering Buddhist monks and Christian hermits - the instability and stress from exploring so many different places does in fact provide spiritual enlightenment and growth. That’s the for story next week. Thanks for reading. In July 2023, I had the opportunity to start working remotely for a couple of blockchain companies. Not wanting to waste a single moment of this opportunity, I dove into a digital nomad lifestyle, traveling across three continents, 13 countries, and 20 cities over the course of a year. Even before I graduated college, I started working in an office at an IT startup, so after three and a half years of office work, there was nothing more liberating and enchanting than opening my MacBook in cafés with an uniquely exotic backdrops. The freedom to go anywhere I wanted was ecstasy . During the first three months of remote work, I probably visited almost every café in Seoul. Then, I went on a trip to Europe with my parents and also visited my sister in Philadelphia, working remotely while traveling freely. liberating enchanting ecstasy Then, at the beginning of 2024, I decided to set off to Southeast Asia, starting with a month-long stay in Bangkok, the mecca for digital nomads in Asia after Bali. Experienced digital nomads would usually pack as lightly as possible, but as an overjoyed beginner, I left home with a fully packed 25kg suitcase and a 7kg carry-on. Of course, I regretted it several times along the way. My luggage included multiple dresses that would have been a bit too flashy to wear in Korea, along six pairs of shoes in anticipation of any special occasion that might just come up. I was so thrilled that I even published a post on my Medium blog titled How I Became a Digital Nomad in 6 Months With No Coding Skills . At the time of the post, I only had 22 subscribers, but it gained quite a bit of traction, attracting 20 new fans and receiving over 100 reactions. Seeing the enthusiastic response to my blog, which remains my most popular piece to this day, I was able to reaffirm that this lifestyle is something many people aspire to. This reaffirmation became very valuable to me because, in reality, the digital nomad life I experienced was lonely , unstable , and extremely stressful . How I Became a Digital Nomad in 6 Months With No Coding Skills lonely unstable extremely stressful The idea of breaking free from the constraints of traditional work and daily life felt like such an adventure for me. I thought that my days would be filled with delightful peaks if I just stepped outside of my regular routine—so much so that I packed six pairs of shoes! But reality turned out to be quite different. Settling into new places is undoubtedly fun and exciting, but even the excitement of newness becomes routine after about two weeks - but this is all on just the surface-level of our perception. Within our subconscious systems, circuits and gears are working tirelessly to adapt to the new environments we’ve placed ourselves in. When we’re in unfamiliar surroundings, our brain’s orientation system activates. This system helps us navigate our surroundings, recognize patterns, and adjusts our behavior accordingly. The hippocampus and amygdala play key roles in this process, helping us to perceive and remember spatial information and evaluate safety within those spaces. This cognitive load that comes from processing a vast amount of new stimuli and situations consumes significant brain energy, unlike the familiar routine tasks that used to take minimal effort. Imagine your brain only used to walk familiar paths, but now everywhere needs is new and needs to be calculated. As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. orientation system As this cognitive load builds up until the environment feels sufficiently familiar, we start to consciously experience it as pressure or stress. I never stayed in a single city for over a month. I had believed the best way to get the most of remote work was to explore as many places as possible. The second reason was that until I felt certain that this was the right place to settle down, I didn’t want to deal with the uninspiring hassle of administrative procedures like visa issuance. At that time, my job involved frequent business trips, so I often planned my travels by extending my stay for a few weeks at the locations I visited for work. However, my ambition in wanting to see the world , and failure to take the leap and comm it resulted in a cumulative unconscious workload of constantly having to adapt to multiple places in a short period—which scientifically resulted into stress. ambition in wanting to see the world failure to take the leap and comm Moreover, I had full-time work on my plate, which psychologically felt like a heavier burden than it should have been. I was working more hours and on the weekends trying to make up for the time that I spent unfocused. I often found myself getting irritated with people around me, fearing I wouldn’t complete tasks on time, or becoming almost obsessive about getting things done in a certain way. I think I had this underlying sense of being unable to control my life in constantly changing environments , and it was quite overwhelming . underlying sense of being unable to control my life in constantly changing environments overwhelming Excerpt from my journal entry on the 12th of February, 2024 which is 19 days after I arrive in Bangkok. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Oh God, this morning I felt this dense ball of air stuck in the back of my head, like an air bubble. Although air physically carries no weight, the one back there felt heavy that my head was tilting back as I was walking out from the bed. It’s like my brain was trying to stop me. Back home, I maintained a regular routine with five workouts a week with home-cooked meals. However, when my fatigue level reached its peak, it became difficult to stick to my regular exercise routine at local gyms, and even cooking meals at home became a luxury once I started traveling. I knew that home-cooked meals are the best, so I bought the necessary soy sauce, Gochujang, Mulyeot etc. that were needed to cook Korean meals when I arrived at my first destination in Southeast Asia. However, I didn’t even get to use a quarter of them before leaving them behind as I moved on to Phuket, making eating out was much less wasteful. Korean food abroad is more expensive than it is in Korea, and healthy meals are just as pricey. So, I mostly relied on local cuisine, and found it increasingly difficult to keep up with the oily fried dishes and unfamiliar flavors. While it's quite obvious that traveling would make it hard to maintain the diet I wanted, I intend to highlight the irony of how gaining freedom in place means but losing freedom in meals. the irony of how gaining freedom in place means but losing freedom in meals. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. In fact, historically, nomadic living was primarily based on collective or communal life. However, digital nomads don't travel with their community. They travel alone, or sometimes as a couple. So in my joke, the word "home" in "digital homeless" doesn’t refer to a house or an apartment, but rather to a community where one belongs— family, friends, colleagues, and neighbors. Yes, there are digital nomad communities that can be accessed anywhere in the world, but those digital nomad communities can be more simply put as ‘a group of strangers that hosts co-working and after hour bar sessions’. A community isn’t a community until it starts feeling like yours over a period of time. Now, I often joke that people living this lifestyle should be called "digital homeless" rather than digital nomads. digital nomad communities A community isn’t a community until it starts feeling like yours over a period of time. A segment of people from history that actually resembles a digital nomad would be the Mountain Hermits and Monastic Wanderers . For example, Christian hermits in medieval Europe or wandering Buddhist monks in East Asia often chose to live away from home, moving from place to place to find spiritual enlightenment, or solitude. Mountain Hermits Monastic Wanderers So, why do people choose the digital nomad lifestyle? So, why do people choose the digital nomad lifestyle? Like the wandering Buddhist monks and Christian hermits - the instability and stress from exploring so many different places does in fact provide spiritual enlightenment and growth. That’s the for story next week. Thanks for reading.

The Reality of Digital Nomads: Chasing Adventure, Finding What?

حقيقة البدو الرقميين: ملاحقة المغامرة، العثور على ماذا؟

Рэальнасць лічбавых качэўнікаў: у пагоні за прыгодамі, у пошуку чаго?

La realidad de los nómadas digitales: ¿en busca de aventuras y qué encuentran?

Digitaalisten nomadien todellisuus: jahtaavat seikkailua, mitä löytää?

A realidade dos nómadas dixitais: perseguindo aventuras, buscando que?

Stvarnost digitalnih nomada: jureći avanturu, pronaći što?

デジタル遊牧民の現実: 冒険を追い求めて、何を見つけるのか?

ຄວາມເປັນຈິງຂອງ Digital Nomads: ແລ່ນການຜະຈົນໄພ, ຊອກຫາຫຍັງ?

De realiteit van digitale nomaden: op zoek naar avontuur, wat vinden?

Rzeczywistość cyfrowych nomadów: w pogoni za przygodami i w znalezieniu czego?

ڈیجیٹل خانہ بدوشوں کی حقیقت: مہم جوئی کا پیچھا کرنا، کیا تلاش کرنا؟

Inyani yeeNomads zeDijithali: Ukusukela i-Adventure, ukufumana ntoni?

SINGAPORE, October 24, 2024 – MEXC and MEXC Ventures are proud to announce a $20 million Aptos ecosystem fund. Aptos is a Layer-1 blockchain platform renowned for its high-performance infrastructure and commitment to advancing Web3 mass adoption. This ecosystem fund is designed to support the Aptos ecosystem’s continuous innovation. This fund will sponsor hackathons, invest in, and incubate early-stage projects and provide support for the MOVE developer community. As Aptos scales its capabilities and continues to pioneer innovations in Web3, this strategic commitment reflects a shared vision for the broader adoption of blockchain technology and empowering developers to unlock new possibilities for decentralized applications. “Aptos, with its high-performance infrastructure, innovations such as Block-STM, and the seamless interoperability of the Move ecosystem, has cultivated a thriving, developer-focused environment,” said Tracy Jin, VP of MEXC. “At MEXC, we are committed to delivering tangible value to our users by focusing on pioneering projects like Aptos. This commitment enhances our community’s experience while advancing the future of blockchain technology.” This commitment reinforces MEXC’s long-term vision of aligning with innovative blockchain initiatives. Through its actions, MEXC aims to strengthen its ecosystem by offering users meaningful benefits to encourage growth in the space. MEXC Exchange Unveils Multimillion-dollar Promotions To mark this event, the MEXC Exchange is launching a series of promotional campaigns running from late October through January. Both new and existing users can join Aptos trading activities and compete for a share of the prize pool. These campaigns will offer a variety of exciting incentives, including zero trading fees, staking rewards, competitive trading competitions, and “Learn-to-Earn” programs — creating diverse opportunities for community engagement. MEXC Ventures Announced its Investment into Aptos Ecosystem Projects As the inaugural initiative of this ecosystem fund, MEXC Ventures has recently committed to investing in two promising projects on Aptos: Aries Market: The No.1 DeFi Platform on Aptos by TVL, leading as the First and Biggest Lending Protocol since day one. Aries Markets provides a comprehensive suite of DeFi products designed to serve as the universal gateway to the Move ecosystem, including lending, borrowing, margin trading, swapping and more. This wide array of services underscores Aries' commitment to leading innovation and enhancing widespread adoption in decentralized finance. Amnis Finance: The #1Liquid Staking Derivative protocol and the #2 DeFi protocol by TVL on Aptos. Amnis Finance introduces a secure, user-friendly and innovative liquid staking protocol that empowers users to effortlessly maximize returns on their APT tokens while unlocking their liquidity.They aim to become a foundational pillar in the Aptos Ecosystem to drive credit expansion through APT staking. MEXC Ventures is also proud to sponsor the Aptos Code Collision. By participating in this hackathon, MEXC Ventures aims to discover unicorns and support builders in the Aptos ecosystem. MEXC Ventures is a comprehensive fund under MEXC dedicated to driving innovation in the cryptocurrency sector through investments in L1/L2 ecosystems, strategic investments, and M&A. MEXC Ventures became an initial advocate and prominent investor in the TON ecosystem in 2022, empowering the ecosystem to achieve significant growth. MEXC Ventures supported early-stage TON projects through investment and listing. Under the ethos of "Empowering Growth Through Synergy​," MEXC Ventures looks forward to staying at the forefront of Aptos' innovations and actively engaging with MOVE builders to drive ecosystem growth. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here SINGAPORE, October 24, 2024 – MEXC and MEXC Ventures are proud to announce a $20 million Aptos ecosystem fund. Aptos is a Layer-1 blockchain platform renowned for its high-performance infrastructure and commitment to advancing Web3 mass adoption. This ecosystem fund is designed to support the Aptos ecosystem’s continuous innovation. This fund will sponsor hackathons, invest in, and incubate early-stage projects and provide support for the MOVE developer community. As Aptos scales its capabilities and continues to pioneer innovations in Web3, this strategic commitment reflects a shared vision for the broader adoption of blockchain technology and empowering developers to unlock new possibilities for decentralized applications. “Aptos, with its high-performance infrastructure, innovations such as Block-STM, and the seamless interoperability of the Move ecosystem, has cultivated a thriving, developer-focused environment,” said Tracy Jin, VP of MEXC. “Aptos, with its high-performance infrastructure, innovations such as Block-STM, and the seamless interoperability of the Move ecosystem, has cultivated a thriving, developer-focused environment,” said Tracy Jin, VP of MEXC. “At MEXC, we are committed to delivering tangible value to our users by focusing on pioneering projects like Aptos. This commitment enhances our community’s experience while advancing the future of blockchain technology.” “At MEXC, we are committed to delivering tangible value to our users by focusing on pioneering projects like Aptos. This commitment enhances our community’s experience while advancing the future of blockchain technology.” This commitment reinforces MEXC’s long-term vision of aligning with innovative blockchain initiatives. Through its actions, MEXC aims to strengthen its ecosystem by offering users meaningful benefits to encourage growth in the space. MEXC Exchange Unveils Multimillion-dollar Promotions To mark this event, the MEXC Exchange is launching a series of promotional campaigns running from late October through January. Both new and existing users can join Aptos trading activities and compete for a share of the prize pool. These campaigns will offer a variety of exciting incentives, including zero trading fees, staking rewards, competitive trading competitions, and “Learn-to-Earn” programs — creating diverse opportunities for community engagement. MEXC Ventures Announced its Investment into Aptos Ecosystem Projects As the inaugural initiative of this ecosystem fund, MEXC Ventures has recently committed to investing in two promising projects on Aptos: Aries Market: The No.1 DeFi Platform on Aptos by TVL, leading as the First and Biggest Lending Protocol since day one. Aries Markets provides a comprehensive suite of DeFi products designed to serve as the universal gateway to the Move ecosystem, including lending, borrowing, margin trading, swapping and more. This wide array of services underscores Aries' commitment to leading innovation and enhancing widespread adoption in decentralized finance. Aries Market : The No.1 DeFi Platform on Aptos by TVL, leading as the First and Biggest Lending Protocol since day one. Aries Markets provides a comprehensive suite of DeFi products designed to serve as the universal gateway to the Move ecosystem, including lending, borrowing, margin trading, swapping and more. This wide array of services underscores Aries' commitment to leading innovation and enhancing widespread adoption in decentralized finance. Aries Market Amnis Finance: The #1Liquid Staking Derivative protocol and the #2 DeFi protocol by TVL on Aptos. Amnis Finance introduces a secure, user-friendly and innovative liquid staking protocol that empowers users to effortlessly maximize returns on their APT tokens while unlocking their liquidity.They aim to become a foundational pillar in the Aptos Ecosystem to drive credit expansion through APT staking. Amnis Finance : The #1Liquid Staking Derivative protocol and the #2 DeFi protocol by TVL on Aptos. Amnis Finance introduces a secure, user-friendly and innovative liquid staking protocol that empowers users to effortlessly maximize returns on their APT tokens while unlocking their liquidity.They aim to become a foundational pillar in the Aptos Ecosystem to drive credit expansion through APT staking. Amnis Finance MEXC Ventures is also proud to sponsor the Aptos Code Collision . By participating in this hackathon, MEXC Ventures aims to discover unicorns and support builders in the Aptos ecosystem. Aptos Code Collision Aptos Code Collision MEXC Ventures is a comprehensive fund under MEXC dedicated to driving innovation in the cryptocurrency sector through investments in L1/L2 ecosystems, strategic investments, and M&A. MEXC Ventures became an initial advocate and prominent investor in the TON ecosystem in 2022, empowering the ecosystem to achieve significant growth. MEXC Ventures supported early-stage TON projects through investment and listing. Under the ethos of "Empowering Growth Through Synergy​," MEXC Ventures looks forward to staying at the forefront of Aptos' innovations and actively engaging with MOVE builders to drive ecosystem growth. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here

MEXC and MEXC Ventures Establish $20M Fund For Aptos Ecosystem Expansion

MEXC وMEXC Ventures تؤسسان صندوقًا بقيمة 20 مليون دولار لتوسيع نظام Aptos البيئي

MEXC এবং MEXC ভেঞ্চারগুলি Aptos ইকোসিস্টেম সম্প্রসারণের জন্য $20M তহবিল গঠন করেছে

MEXC y MEXC Ventures establecen un fondo de 20 millones de dólares para la expansión del ecosistema de Aptos

MEXC と MEXC Ventures が Aptos エコシステム拡張のために 2,000 万ドルのファンドを設立

MEXC와 MEXC Ventures, Aptos 생태계 확장을 위한 2000만 달러 펀드 설립

MEXC жана MEXC Ventures Aptos экосистемасынын кеңейиши үчүн 20 миллион долларлык фонд түзүшөт

MEXC na MEXC Ventures Ba établir Fonds ya $20M Pona Expansion ya Ecosystème ya Aptos

MEXC sy MEXC Ventures dia nanangana vola 20 tapitrisa dolara ho an'ny fanitarana ny tontolo iainana Aptos

MEXC i MEXC Ventures zakładają fundusz o wartości 20 mln USD na rozbudowę ekosystemu Aptos

MEXC na MEXC Ventures bashiraho $ 20M Ikigega cyo Kwagura Ibinyabuzima bya Aptos

MEXC සහ MEXC Ventures Aptos පරිසර පද්ධති ව්‍යාප්තිය සඳහා $20M අරමුදලක් ස්ථාපිත කරයි

MEXC na MEXC Ventures Yaanzisha Hazina ya $20M kwa Ajili ya Upanuzi wa Mfumo wa Aptos

Table of Links Abstract and 1. Introduction 1.1 Option Pricing 1.2 Asymptotic Notation (Big O) 1.3 Finite Difference 1.4 The Black-Schole Model 1.5 Monte Carlo Simulation and Variance Reduction Techniques 1.6 Our Contribution Literature Review
Methodology 3.1 Model Assumption 3.2 Theorems and Model Discussion Result Analysis
Conclusion and References 1.4 THE BLACK-SCHOLE MODEL The Black-Scholes model is a cornerstone of modern financial theory, providing a mathematical framework for pricing European-style options. Developed by Fischer Black, Myron Scholes, and Robert Merton in the early 1970s, the model revolutionized the field of quantitative finance. Mathematically, the Black-Scholes model calculates the price of a European call option, which gives the holder the right to buy an underlying asset at a specified price (the strike price) on or before a specified date (the expiration date). The model assumes that the price of the underlying asset follows geometric Brownian motion, characterized by a constant volatility. The Black-Scholes formula for the price of a European call option is given by: where 𝐶 = 𝐶𝑎𝑙𝑙 𝑜𝑝𝑡𝑖𝑜𝑛 𝑝𝑟𝑖𝑐𝑒 𝑆 = 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 𝑝𝑟𝑖𝑐𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑢𝑛𝑑𝑒𝑟𝑙𝑦𝑖𝑛𝑔 𝑎𝑠𝑠𝑒𝑡 𝐾 = 𝑆𝑡𝑟𝑖𝑘𝑒 𝑝𝑟𝑖𝑐𝑒 𝑟 = 𝑅𝑖𝑠𝑘 𝑓𝑟𝑒𝑒 𝑖𝑛𝑡𝑒𝑟𝑒𝑠𝑡 𝑟𝑎𝑡𝑒 𝑡 = 𝑇𝑖𝑚𝑒 𝑜𝑓 𝑒𝑥𝑝𝑖𝑟𝑎𝑡𝑖𝑜𝑛 𝑁 = 𝐶𝑢𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡ℎ𝑒 𝑠𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑛𝑜𝑟𝑚𝑎𝑙 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 The formula derived from the Black-Scholes model computes the theoretical price of a call or put option based on the aforementioned factors. It considers the probability distribution of potential future asset prices and discounts expected payoffs back to the present value using the risk-free interest rate [5]. Authors:
(1) Agni Rakshit, Department of Mathematics, National Institute of Technology, Durgapur, Durgapur, India (spiritualagnimath.statml@gmail.com);
(2) Gautam Bandyopadhyay, Department of Management Studies, National Institute of Technology, Durgapur, Durgapur, India (gbandyopadhyay.dms@nitdgp.ac.in);
(3) Tanujit Chakraborty, Department of Science and Engineering & Sorbonne Center for AI, Sorbonne University, Abu Dhabi, United Arab Emirates (tanujit.chakraborty@sorbonne.ae). This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction Abstract and 1. Introduction 1.1 Option Pricing 1.1 Option Pricing 1.2 Asymptotic Notation (Big O) 1.2 Asymptotic Notation (Big O) 1.3 Finite Difference 1.3 Finite Difference 1.4 The Black-Schole Model 1.4 The Black-Schole Model 1.5 Monte Carlo Simulation and Variance Reduction Techniques 1.5 Monte Carlo Simulation and Variance Reduction Techniques 1.6 Our Contribution 1.6 Our Contribution Literature Review Methodology Literature Review Literature Review Literature Review Methodology Methodology 3.1 Model Assumption 3.1 Model Assumption 3.2 Theorems and Model Discussion 3.2 Theorems and Model Discussion Result Analysis Conclusion and References Result Analysis Result Analysis Result Analysis Conclusion and References Conclusion and References Conclusion and References 1.4 THE BLACK-SCHOLE MODEL The Black-Scholes model is a cornerstone of modern financial theory, providing a mathematical framework for pricing European-style options. Developed by Fischer Black, Myron Scholes, and Robert Merton in the early 1970s, the model revolutionized the field of quantitative finance. Mathematically, the Black-Scholes model calculates the price of a European call option, which gives the holder the right to buy an underlying asset at a specified price (the strike price) on or before a specified date (the expiration date). The model assumes that the price of the underlying asset follows geometric Brownian motion, characterized by a constant volatility. The Black-Scholes formula for the price of a European call option is given by: where 𝐶 = 𝐶𝑎𝑙𝑙 𝑜𝑝𝑡𝑖𝑜𝑛 𝑝𝑟𝑖𝑐𝑒 𝑆 = 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 𝑝𝑟𝑖𝑐𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑢𝑛𝑑𝑒𝑟𝑙𝑦𝑖𝑛𝑔 𝑎𝑠𝑠𝑒𝑡 𝐾 = 𝑆𝑡𝑟𝑖𝑘𝑒 𝑝𝑟𝑖𝑐𝑒 𝑟 = 𝑅𝑖𝑠𝑘 𝑓𝑟𝑒𝑒 𝑖𝑛𝑡𝑒𝑟𝑒𝑠𝑡 𝑟𝑎𝑡𝑒 𝑡 = 𝑇𝑖𝑚𝑒 𝑜𝑓 𝑒𝑥𝑝𝑖𝑟𝑎𝑡𝑖𝑜𝑛 𝑁 = 𝐶𝑢𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡ℎ𝑒 𝑠𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑛𝑜𝑟𝑚𝑎𝑙 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑖𝑜𝑛 The formula derived from the Black-Scholes model computes the theoretical price of a call or put option based on the aforementioned factors. It considers the probability distribution of potential future asset prices and discounts expected payoffs back to the present value using the risk-free interest rate [5]. Authors: (1) Agni Rakshit, Department of Mathematics, National Institute of Technology, Durgapur, Durgapur, India (spiritualagnimath.statml@gmail.com); (2) Gautam Bandyopadhyay, Department of Management Studies, National Institute of Technology, Durgapur, Durgapur, India (gbandyopadhyay.dms@nitdgp.ac.in); (3) Tanujit Chakraborty, Department of Science and Engineering & Sorbonne Center for AI, Sorbonne University, Abu Dhabi, United Arab Emirates (tanujit.chakraborty@sorbonne.ae). Authors: Authors: (1) Agni Rakshit, Department of Mathematics, National Institute of Technology, Durgapur, Durgapur, India (spiritualagnimath.statml@gmail.com); (2) Gautam Bandyopadhyay, Department of Management Studies, National Institute of Technology, Durgapur, Durgapur, India (gbandyopadhyay.dms@nitdgp.ac.in); (3) Tanujit Chakraborty, Department of Science and Engineering & Sorbonne Center for AI, Sorbonne University, Abu Dhabi, United Arab Emirates (tanujit.chakraborty@sorbonne.ae). This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license. available on arxiv available on arxiv

The Black-Scholes Model: A Fundamental Framework for Option Pricing

Authors:
(1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk;
(2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Table of Links Abstract and 1 Introduction 2 Related Work 3 Framework 4 Main Results 5 A Case Study on Shortest-Path Distance 6 Conclusion and Discussion, and References 7 Proof of Theorem 1 8 Proof of Theorem 2 9 Procedure for Solving Eq. (6) 10 Additional Experiments Details and Results 11 Other Potential Applications 10 Additional Experiments Details and Results In this appendix, we provide additional experimental results and include a detailed set-up of the experiments for reproducibility. 10.1 Hardware and Software All the experiments of this paper are conducted on the following machine CPU: two Intel Xeon Gold 6230 2.1G, 20C/40T, 10.4GT/s, 27.5M Cache, Turbo, HT (125W) DDR4-2933 GPU: four NVIDIA Tesla V100 SXM2 32G GPU Accelerator for NV Link Memory: 256GB (8 x 32GB) RDIMM, 3200MT/s, Dual Rank OS: Ubuntu 18.04LTS 10.2 Training Hyper-parameters and Detailed Dataset Description Table 3 gives a more detailed description of the statistic of datasets used in the experiment as well as the hyper-parameters used for training. We keep the hyper-parameters the same across different models. To keep the experiment consistent, we do not employ randomized regularization techniques such as dropout. To ensure a fair comparison, we make sure each experiment is trained till convergence. 10.3 Additional Experiment Results In addition to the datasets we present in the main text, we also conduct experiments on Citeseer, Cora Full and OGBN-arxiv. The results of these experiments show that the theoretical structures proved in this paper are indeed consistent across different datasets. Next, we present additional experimental results on these datasets for validating the main theorems of our papers. Graph Distance and Performance We present additional results with Citeseer, CoraFull, and OGBN-Arxiv on the relation between the graph distance (shortest-path distance). For these experiments, we follow the same setting as the one presented in Fig. 4. We compute the average prediction accuracy in each group of vertices (corresponding to vertices at each hop of the neighbourhood of the training set). ’0 hop’ indicates the training set. We observe that GNNs tend to predict better on the vertices that are closer to the training set. The results are presented in Fig. 6, 7 and 8. Subgroup Embedding Distance and Accuracy We present additional results with Citeseer, CoraFull, and OGBN-Arxiv on that GNNs preserve distances (with a small distortion rate) locally, by evaluating the relation between the graph distances of vertices to the training set and the embedding distances (Euclidean distance) of vertex representations to the representations of the training set, i.e., the relation between d(v, D) and d(MθD (v),MθD (D)). In this experiment, we follow the same setting as the one in Fig. 3 and train the GNN models on the default training set provided in the dataset. We extract vertices within the 5-hop neighbourhood of the training set and group the vertices based on their distances to the training set. We then compute the average embedding distance of each group to the training set in the embedding space. Based on Def. 3, if an embedding has low distortion, we should expect to see linear relation with slop being the scaling factor. As shown in Fig. 9,Fig. 10, and Fig. 11 there exists a strong correlation between the graph distance and the embedding distance. The relation is near linear and the relative orders of distances are mostly preserved within the first few hops. This implies that the distortion α is indeed small with different GNNs and that the common aggregation mechanism of GNNs can well capture local graph structure information (i.e., graph distances). It also indicates that the premise on the distortion rate, which we used to prove our theoretical results, can be commonly satisfied in practice. 10.4 Graph Distance and Performance This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk; (2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Authors: Authors: (1) Junwei Su, Department of Computer Science, the University of Hong Kong and jwsu@cs.hku.hk; (2) Chuan Wu, Department of Computer Science, the University of Hong Kong and cwu@cs.hku.hk. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Work 2 Related Work 3 Framework 3 Framework 4 Main Results 4 Main Results 5 A Case Study on Shortest-Path Distance 5 A Case Study on Shortest-Path Distance 6 Conclusion and Discussion, and References 6 Conclusion and Discussion, and References 7 Proof of Theorem 1 7 Proof of Theorem 1 8 Proof of Theorem 2 8 Proof of Theorem 2 9 Procedure for Solving Eq. (6) 9 Procedure for Solving Eq. (6) 10 Additional Experiments Details and Results 10 Additional Experiments Details and Results 11 Other Potential Applications 11 Other Potential Applications 10 Additional Experiments Details and Results In this appendix, we provide additional experimental results and include a detailed set-up of the experiments for reproducibility. 10.1 Hardware and Software All the experiments of this paper are conducted on the following machine CPU: two Intel Xeon Gold 6230 2.1G, 20C/40T, 10.4GT/s, 27.5M Cache, Turbo, HT (125W) DDR4-2933 GPU: four NVIDIA Tesla V100 SXM2 32G GPU Accelerator for NV Link Memory: 256GB (8 x 32GB) RDIMM, 3200MT/s, Dual Rank OS: Ubuntu 18.04LTS 10.2 Training Hyper-parameters and Detailed Dataset Description Table 3 gives a more detailed description of the statistic of datasets used in the experiment as well as the hyper-parameters used for training. We keep the hyper-parameters the same across different models. To keep the experiment consistent, we do not employ randomized regularization techniques such as dropout. To ensure a fair comparison, we make sure each experiment is trained till convergence. 10.3 Additional Experiment Results In addition to the datasets we present in the main text, we also conduct experiments on Citeseer, Cora Full and OGBN-arxiv. The results of these experiments show that the theoretical structures proved in this paper are indeed consistent across different datasets. Next, we present additional experimental results on these datasets for validating the main theorems of our papers. Graph Distance and Performance We present additional results with Citeseer, CoraFull, and OGBN-Arxiv on the relation between the graph distance (shortest-path distance). For these experiments, we follow the same setting as the one presented in Fig. 4. We compute the average prediction accuracy in each group of vertices (corresponding to vertices at each hop of the neighbourhood of the training set). ’0 hop’ indicates the training set. We observe that GNNs tend to predict better on the vertices that are closer to the training set. The results are presented in Fig. 6, 7 and 8. Graph Distance and Performance Subgroup Embedding Distance and Accuracy We present additional results with Citeseer, CoraFull, and OGBN-Arxiv on that GNNs preserve distances (with a small distortion rate) locally, by evaluating the relation between the graph distances of vertices to the training set and the embedding distances (Euclidean distance) of vertex representations to the representations of the training set, i.e., the relation between d(v, D) and d(MθD (v),MθD (D)). In this experiment, we follow the same setting as the one in Fig. 3 and train the GNN models on the default training set provided in the dataset. We extract vertices within the 5-hop neighbourhood of the training set and group the vertices based on their distances to the training set. We then compute the average embedding distance of each group to the training set in the embedding space. Based on Def. 3, if an embedding has low distortion, we should expect to see linear relation with slop being the scaling factor. As shown in Fig. 9,Fig. 10, and Fig. 11 there exists a strong correlation between the graph distance and the embedding distance. The relation is near linear and the relative orders of distances are mostly preserved within the first few hops. This implies that the distortion α is indeed small with different GNNs and that the common aggregation mechanism of GNNs can well capture local graph structure information (i.e., graph distances). It also indicates that the premise on the distortion rate, which we used to prove our theoretical results, can be commonly satisfied in practice. Subgroup Embedding Distance and Accuracy 10.4 Graph Distance and Performance This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Comprehensive Overview of GNN Experiments: Hardware, Hyperparameters, and Findings

Google is an excellent computational science company. To the extent that breakthroughs are possible in computer science, Google continues to push the envelope of knowledge to greater heights. However, an award that was supposed to cement that position for good exposed Google at the foundation of science. Google is not the heavyweight, at all, in theoretical science, as it is in computational science. There have been several criticisms of the award, which, aside from the possible limitations across solutions, questions of the origin of the actual science and other fundamental bases continue to cast doubt on what should have been a clear-cut victory. There is a recent feature on Scientific American, AI Comes to the Nobels: Double Win Sparks Debate about Scientific Fields, with the quotes, "I don’t think AlphaFold involves any radical change in the underlying science that wasn’t already in place. It’s just how it was put together and conceived in such a seamless way that allowed AlphaFold to reach those heights." "For example, one key input AlphaFold uses is the sequences of related proteins from different organisms, which can identify amino acid pairs that have tended to co-evolve and therefore might be in close physical proximity in a protein’s 3D structure. Researchers were already using this insight to predict protein structures at the time AlphaFold was developed, and some even began embedding the idea in deep learning neural networks." There is another feature on Harvard Medicine Magazine, Did AI Solve the Protein-Folding Problem?, with the quotes, "Plus, it’s not even safe to say the protein-folding problem is solved. One important box is ticked off: Researchers can now predict protein structures from amino acid sequences. But two other key parts of the problem — understanding the underlying physics and how proteins fold so quickly — remain unsolved." "Structure is not the final story; we want to understand much more. A few years post-AlphaFold2, there hasn’t been as much progress in treating diseases as some might have anticipated. For drug discovery, a deeper understanding of protein dynamics is essential. That includes studying how proteins behave in their natural cellular environments and why certain proteins fold incorrectly — a factor linked to many neurodegenerative diseases." "If we can predict how proteins fold without understanding how they do it, are we even legitimately doing science anymore, or is it something different? In the past, what drove us was understanding. With this wave of AI, we’re maybe losing some of that. We’re able to get the practical benefits, but we’re not necessarily gaining intellectual benefits." These are not light questions. They do not cancel the use of computational approaches, but they are questions on the basics of the science for which understanding is built—where Google is null. Aside from AlphaFold, Google Research, in part, is also working on quantum consciousness, with such a sham theory that there is no hope it would ever answer the question. Google is also using computational science to map the brain, in connectomics, with zero to negligible theory, without even daring to check, observe, infer, or question if the neuron is the basic unit of the nervous system. Google is simply following what is possible computationally, without a lead of basic science with the potential for rounded advances. Of course, there would be progress, but Google, with its massive research teams, is weak and almost completely irrelevant if answers in pure science are sought. Google is an excellent computational science company. To the extent that breakthroughs are possible in computer science, Google continues to push the envelope of knowledge to greater heights. However, an award that was supposed to cement that position for good exposed Google at the foundation of science. Google is not the heavyweight, at all, in theoretical science, as it is in computational science. There have been several criticisms of the award, which, aside from the possible limitations across solutions, questions of the origin of the actual science and other fundamental bases continue to cast doubt on what should have been a clear-cut victory. There is a recent feature on Scientific American , AI Comes to the Nobels: Double Win Sparks Debate about Scientific Fields , with the quotes, "I don’t think AlphaFold involves any radical change in the underlying science that wasn’t already in place. It’s just how it was put together and conceived in such a seamless way that allowed AlphaFold to reach those heights." Scientific American AI Comes to the Nobels: Double Win Sparks Debate about Scientific Fields "For example, one key input AlphaFold uses is the sequences of related proteins from different organisms, which can identify amino acid pairs that have tended to co-evolve and therefore might be in close physical proximity in a protein’s 3D structure. Researchers were already using this insight to predict protein structures at the time AlphaFold was developed, and some even began embedding the idea in deep learning neural networks." There is another feature on Harvard Medicine Magazine , Did AI Solve the Protein-Folding Problem? , with the quotes, "Plus, it’s not even safe to say the protein-folding problem is solved. One important box is ticked off: Researchers can now predict protein structures from amino acid sequences. But two other key parts of the problem — understanding the underlying physics and how proteins fold so quickly — remain unsolved." Harvard Medicine Magazine Did AI Solve the Protein-Folding Problem? "Structure is not the final story; we want to understand much more. A few years post-AlphaFold2, there hasn’t been as much progress in treating diseases as some might have anticipated. For drug discovery, a deeper understanding of protein dynamics is essential. That includes studying how proteins behave in their natural cellular environments and why certain proteins fold incorrectly — a factor linked to many neurodegenerative diseases." "If we can predict how proteins fold without understanding how they do it, are we even legitimately doing science anymore, or is it something different? In the past, what drove us was understanding. With this wave of AI, we’re maybe losing some of that. We’re able to get the practical benefits, but we’re not necessarily gaining intellectual benefits." These are not light questions. They do not cancel the use of computational approaches, but they are questions on the basics of the science for which understanding is built—where Google is null. Aside from AlphaFold, Google Research, in part, is also working on quantum consciousness, with such a sham theory that there is no hope it would ever answer the question. Google is also using computational science to map the brain, in connectomics , with zero to negligible theory, without even daring to check, observe, infer, or question if the neuron is the basic unit of the nervous system . quantum consciousness, with such a sham theory Google is also using computational science to map the brain, in connectomics without even daring to check, observe, infer, or question if the neuron is the basic unit of the nervous system Google is simply following what is possible computationally, without a lead of basic science with the potential for rounded advances. Of course, there would be progress, but Google, with its massive research teams, is weak and almost completely irrelevant if answers in pure science are sought.

Protein Structures | AlphaFold: Google Research Vacancy, Weakness in Fundamental Science

Pell Network, an Omnichain Decentralized Validation Services (DVS) network, has successfully raised $3 million in pre-seed funding, as announced on October 16, 2024. This round was co-led by Paper Ventures, Halo Capital, and Mirana Ventures. Incubator D11-Labs and key investor Delta Blockchain Fund, also participated in this round, along with a diverse group of investors including ArkStream Capital, Mantle EcoFund, Web3Port, Caliber Venture Builder, Cogitent Ventures, Contribution Capital, J17 Capital, Sats Ventures, Side Door Ventures, 071Labs, and individual angels. The funds will be used to develop Pell's innovative network, which aims to build an omnichain DVS network powered by restaking. By leveraging Liquid Staking Tokens (LST), Pell Network plans to break down barriers between siloed blockchains and foster the long-term sustainability of the entire ecosystem. Oliver Blakey, co-founder of Paper Ventures, expressed enthusiasm for Pell's vision, stating, "Pell's vision for a universal trust network aligns perfectly with the evolving needs of BTCFi users. We are excited to support their journey in addressing critical challenges and unlocking fresh possibilities for Bitcoin-based DeFi.” David Toh, Managing Partner of Mirana Ventures, highlighted Pell's unique approach: "Pell Network brings a new approach to restaking that enhances the user experience while providing differentiated revenue streams at a lower cost to developers. We are excited to support their vision of creating an Omnichain DVS network powered by restaking.” Technical Architecture and Market Traction Pell Network's architecture consists of three key components: the Restaking Layer, Pell Chain, and Service Layer. This structure aims to optimize resource allocation and maximize returns by aligning capital, assets, and consumers. The platform has already achieved significant traction with deployments on 20 chains including BNB Smart Chain, Core, Babylon, Mantle, and Ethereum. It has accumulated over $300 million in Total Value Locked (TVL) and more than 430,000 stakers across its Omnichain Restaking Network. Future Developments and Community Engagement With this funding and early traction, Pell Network is positioning itself as a key player in the evolving landscape of cross-chain application building and bootstrapping. The network aims to provide developers with DVS networks underpinned by tangible economic incentives, potentially marking a shift from traditional trust-based systems to quantifiable, auditable economic security models in the blockchain space. In line with its launch strategy, Pell Network has rolled out a series of community engagement campaigns. These include the Testnet launch accompanied by an Airdrop Campaign and a GoldMiner Campaign, providing participants an opportunity to earn up to 1 BTCB + 11 BNB raffle and a 30% yield. As the project progresses, early participants will be generously rewarded. More details will be announced in the near future. About Pell Pell Network builds an omnichain DVS(Decentralized Validation Service) network driven by cryptoeconomics, leveraging the restaking mechanism of LST (Liquid Staking Tokens) to create a seamless decentralized validation services marketplace. Pell Network aims to provide innovative technical solutions for the billion-dollar restaking sector, break down barriers between siloed blockchains, and foster the long-term sustainability of the entire ecosystem. Users can follow Pell’s latest development: Website X Discord Telegram Contact Pell hi@pell.network This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here Pell Network, an Omnichain Decentralized Validation Services (DVS) network, has successfully raised $3 million in pre-seed funding, as announced on October 16, 2024. This round was co-led by Paper Ventures, Halo Capital, and Mirana Ventures. Incubator D11-Labs and key investor Delta Blockchain Fund, also participated in this round, along with a diverse group of investors including ArkStream Capital, Mantle EcoFund, Web3Port, Caliber Venture Builder, Cogitent Ventures, Contribution Capital, J17 Capital, Sats Ventures, Side Door Ventures, 071Labs, and individual angels. The funds will be used to develop Pell's innovative network, which aims to build an omnichain DVS network powered by restaking. By leveraging Liquid Staking Tokens (LST), Pell Network plans to break down barriers between siloed blockchains and foster the long-term sustainability of the entire ecosystem. Oliver Blakey, co-founder of Paper Ventures, expressed enthusiasm for Pell's vision, stating, "Pell's vision for a universal trust network aligns perfectly with the evolving needs of BTCFi users. We are excited to support their journey in addressing critical challenges and unlocking fresh possibilities for Bitcoin-based DeFi.” Oliver Blakey, co-founder of Paper Ventures, expressed enthusiasm for Pell's vision, stating, "Pell's vision for a universal trust network aligns perfectly with the evolving needs of BTCFi users. We are excited to support their journey in addressing critical challenges and unlocking fresh possibilities for Bitcoin-based DeFi.” David Toh, Managing Partner of Mirana Ventures, highlighted Pell's unique approach: "Pell Network brings a new approach to restaking that enhances the user experience while providing differentiated revenue streams at a lower cost to developers. We are excited to support their vision of creating an Omnichain DVS network powered by restaking.” David Toh, Managing Partner of Mirana Ventures, highlighted Pell's unique approach: "Pell Network brings a new approach to restaking that enhances the user experience while providing differentiated revenue streams at a lower cost to developers. We are excited to support their vision of creating an Omnichain DVS network powered by restaking.” Technical Architecture and Market Traction Pell Network's architecture consists of three key components: the Restaking Layer, Pell Chain, and Service Layer. This structure aims to optimize resource allocation and maximize returns by aligning capital, assets, and consumers. The platform has already achieved significant traction with deployments on 20 chains including BNB Smart Chain, Core, Babylon, Mantle, and Ethereum. It has accumulated over $300 million in Total Value Locked (TVL) and more than 430,000 stakers across its Omnichain Restaking Network. Future Developments and Community Engagement With this funding and early traction, Pell Network is positioning itself as a key player in the evolving landscape of cross-chain application building and bootstrapping. The network aims to provide developers with DVS networks underpinned by tangible economic incentives, potentially marking a shift from traditional trust-based systems to quantifiable, auditable economic security models in the blockchain space. In line with its launch strategy, Pell Network has rolled out a series of community engagement campaigns. These include the Testnet launch accompanied by an Airdrop Campaign and a GoldMiner Campaign, providing participants an opportunity to earn up to 1 BTCB + 11 BNB raffle and a 30% yield. As the project progresses, early participants will be generously rewarded. More details will be announced in the near future. About Pell Pell Network builds an omnichain DVS(Decentralized Validation Service) network driven by cryptoeconomics, leveraging the restaking mechanism of LST (Liquid Staking Tokens) to create a seamless decentralized validation services marketplace. Pell Network Pell Network Pell Network aims to provide innovative technical solutions for the billion-dollar restaking sector, break down barriers between siloed blockchains, and foster the long-term sustainability of the entire ecosystem. Users can follow Pell’s latest development: Website Website X X Discord Discord Telegram Telegram Contact Pell hi@pell.network 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

Pell Network Secures $3M Funding To Build Omnichain DVS Network

Pell Şəbəkəsi Omnichain DVS Şəbəkəsini qurmaq üçün 3 milyon dollarlıq maliyyəni təmin edir

Pell Network obtiene una financiación de 3 millones de dólares para construir una red DVS omnichain

Pell Network מאבטחת מימון של 3 מיליון דולר לבניית רשת Omnichain DVS

ペルネットワーク、オムニチェーンDVSネットワーク構築のために300万ドルの資金を確保

Pell Network, Omnichain DVS 네트워크 구축을 위해 300만 달러 자금 확보

Pell Network обезбедува финансирање од 3 милиони долари за изградба на Omnichain DVS мрежа

Pell Network нь Omnichain DVS сүлжээг бий болгоход 3 сая долларын санхүүжилт олгодог

Pell Network Secures $ 3M Thuso ya Ditjhelete Ho Haha Omnichain DVS Network

پیل شبکه د Omnichain DVS شبکې جوړولو لپاره د 3M ډالرو تمویل خوندي کوي

Pell Network Omnichain DVS ජාලය ගොඩනැගීමට $3M අරමුදල් ලබා ගනී

Pell Network Yi Tiyisile Mali Ya $3M Ku Aka Omnichain DVS Network

Pell Network залучає 3 мільйони доларів США для створення мережі Omnichain DVS

ZUG, Switzerland, October 18th, 2024/Chainwire/--Polimec, a decentralized Web3 fundraising protocol on Polkadot, is excited to announce its integration with Banxa, a prominent fiat-to-crypto gateway. This integration allows users to invest in blockchain projects using credit cards, introducing a new user experience and making it easier for both experienced and new investors to participate in Web3 fundraising. What’s New? Through Banxa’s integration, Polimec users can instantly convert fiat currencies, such as USD and EUR, into tokens like USDT, USDC, and DOT, which can be used to invest in blockchain fundraises. This development is a major step in bridging the gap between traditional finance (Web2) and decentralized finance (Web3), providing seamless access to Web3 investment opportunities. Why This Matters Polimec is designed to facilitate secure, compliant, and transparent capital raises in the dynamic Web3 space. The growing demand for compliant and transparent fundraising mechanisms makes this integration particularly timely and important. By incorporating Banxa’s fiat-to-crypto gateway, Polimec significantly lowers the barriers to entry for Web3 fundraising. The integration enables both crypto veterans and newcomers to participate in blockchain fundraises using familiar fiat currencies, such as USD and EUR, removing the need for complex conversions. “This partnership with Banxa enhances Polimec’s mission to streamline Web3 fundraising,” said Flavio Bianchi, Foundation Council at Polimec. “By integrating Banxa’s fiat-to-crypto gateway, Polimec is making the onboarding process more inclusive, allowing for broader participation and creating new opportunities for all types of investors.” How It Works Participating in Polimec fundraises is straightforward: Step 1: Select Banxa as the preferred payment method. Step 2: Pay with a fiat currency, such as USD or EUR, using a credit card. Step 3: Instantly receive participation tokens in the investor’s crypto wallet. This simplified process allows users to engage in blockchain projects without the need to navigate complicated crypto conversions, making the experience more accessible and user-friendly. What’s Next? This collaboration marks another milestone in Polimec’s ongoing effort to improve user experience and accessibility. Polimec is actively working on additional features to further streamline the investment process and enhance the capabilities of the Polimec Protocol. With Banxa now integrated, Polimec is advancing toward its goal of making multichain Web3 investments more accessible on a global scale. About Polimec Polimec is a permissionless fundraising infrastructure protocol providing an automated framework for projects to raise funds within a broad and diverse investor base with transparent and fair access for all. The protocol allows access to fundraising and governs the issuance, distribution, and conversion of tokens to mainnet. Contact Foundation Council Flavio Bianchi Polimec flavio@polimec.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . ZUG, Switzerland, October 18th, 2024/Chainwire/--Polimec, a decentralized Web3 fundraising protocol on Polkadot, is excited to announce its integration with Banxa, a prominent fiat-to-crypto gateway. This integration allows users to invest in blockchain projects using credit cards, introducing a new user experience and making it easier for both experienced and new investors to participate in Web3 fundraising. What’s New? Through Banxa’s integration, Polimec users can instantly convert fiat currencies, such as USD and EUR, into tokens like USDT, USDC, and DOT, which can be used to invest in blockchain fundraises. This development is a major step in bridging the gap between traditional finance (Web2) and decentralized finance (Web3), providing seamless access to Web3 investment opportunities. Why This Matters Polimec is designed to facilitate secure, compliant, and transparent capital raises in the dynamic Web3 space. The growing demand for compliant and transparent fundraising mechanisms makes this integration particularly timely and important. By incorporating Banxa’s fiat-to-crypto gateway, Polimec significantly lowers the barriers to entry for Web3 fundraising. The integration enables both crypto veterans and newcomers to participate in blockchain fundraises using familiar fiat currencies, such as USD and EUR, removing the need for complex conversions. “This partnership with Banxa enhances Polimec’s mission to streamline Web3 fundraising,” said Flavio Bianchi, Foundation Council at Polimec. “This partnership with Banxa enhances Polimec’s mission to streamline Web3 fundraising,” said Flavio Bianchi, Foundation Council at Polimec. “By integrating Banxa’s fiat-to-crypto gateway, Polimec is making the onboarding process more inclusive, allowing for broader participation and creating new opportunities for all types of investors.” “By integrating Banxa’s fiat-to-crypto gateway, Polimec is making the onboarding process more inclusive, allowing for broader participation and creating new opportunities for all types of investors.” How It Works Participating in Polimec fundraises is straightforward: Step 1: Select Banxa as the preferred payment method. Step 2: Pay with a fiat currency, such as USD or EUR, using a credit card. Step 3: Instantly receive participation tokens in the investor’s crypto wallet. This simplified process allows users to engage in blockchain projects without the need to navigate complicated crypto conversions, making the experience more accessible and user-friendly. What’s Next? This collaboration marks another milestone in Polimec’s ongoing effort to improve user experience and accessibility. Polimec is actively working on additional features to further streamline the investment process and enhance the capabilities of the Polimec Protocol. With Banxa now integrated, Polimec is advancing toward its goal of making multichain Web3 investments more accessible on a global scale. About Polimec Polimec is a permissionless fundraising infrastructure protocol providing an automated framework for projects to raise funds within a broad and diverse investor base with transparent and fair access for all. The protocol allows access to fundraising and governs the issuance, distribution, and conversion of tokens to mainnet. Contact Foundation Council Flavio Bianchi Polimec flavio@polimec.org 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 .

Polimec Announces Integration With Banxa, Simplifying Web3 Fundraising On Polkadot With Fiat Payment

How to Find the “Routes” of All-Pairs Shortest Paths With the Floyd-Warshall Algorithm in C#

Cómo encontrar las “rutas” de los caminos más cortos de todos los pares con el algoritmo Floyd-Warshall en C#

Nola aurkitu bikote guztietako bide laburrenen "ibilbideak" Floyd-Warshall algoritmoarekin C#-n

چگونه با الگوریتم فلوید-وارشال در سی شارپ «مسیرها» کوتاه‌ترین مسیرهای تمام جفت را پیدا کنیم

כיצד למצוא את ה"מסלולים" של כל הזוגות הקצרים ביותר עם אלגוריתם פלויד-ורשל ב-C#

C# でフロイド・ワーシャル アルゴリズムを使用して全ペア最短経路の「ルート」を見つける方法

C# тилинде Флойд-Уоршалл алгоритми менен бардык жуптардын эң кыска жолдорунун "маршруттарын" кантип тапса болот

ວິທີການຊອກຫາ "ເສັ້ນທາງ" ຂອງທຸກຄູ່ເສັ້ນທາງທີ່ສັ້ນທີ່ສຸດດ້ວຍ Floyd-Warshall Algorithm ໃນ C#

Jak znaleźć „trasy” najkrótszych ścieżek dla wszystkich par za pomocą algorytmu Floyda-Warshalla w języku C#

Mawaniro e "Nzira" dzeVese-Pairi Pfupi Nzira Neiyo Floyd-Warshall Algorithm muC#.

C#'da Floyd-Warshall Algoritması ile Tüm Çiftlerin En Kısa Yollarının "Rotaları" Nasıl Bulunur

Як знайти «маршрути» найкоротших шляхів усіх пар за допомогою алгоритму Флойда-Воршалла в C#

Cách tìm "Tuyến đường" của tất cả các đường dẫn ngắn nhất của cặp với thuật toán Floyd-Warshall trong C#

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