Russia’s ambassador to North Korea says the two countries are eyeing the establishment of a “direct rail service,” among other transportation links, as the first group of Russian tourists in years returned from the DPRK on Monday. “The DPRK is interested in expanding bilateral ...

Russia eyeing new rail, ferry and car routes to North Korea: Ambassador | NK News

German actor-martial artist pursues action-film dream in Korea · CNN explores foreign women who visit Korea 'in search of love'

Jeju Int'l Airport packed on Seollal's final day : Korea.net : The official 
website of the Republic of Korea

It said the launcher would lead to a "qualitative change" in its defence capabilities. Read more at straitstimes.com.

North Korea tests new rocket launcher control system | The Straits Times

SEOUL: North Korea has successfully developed a new ballistic control system for a multiple rocket launcher along with controllable shells, state media KCNA reported on Monday (Feb 12). The Academy of Defence Science, which oversees the country's missile development, conducted a "ballistic ...

North Korea develops new rocket launcher controller: State media - CNA

Ryu Ji-hwan and his friends hope to soon land corporate jobs but worry about what’s next and making the right choices

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3K votes, 119 comments. 23M subscribers in the nottheonion community. For true stories that you could have sworn were from The Onion.

r/nottheonion on Reddit: South Korea loves pork and booze. It wants to be the next halal powerhouse

South Korean President Yoon Suk Yeol is months out from a crucial election seen as a barometer of his mid-term popularity, but surveys show he has a big problem – the latest scandal surrounding his wife.

How a Dior bag shook South Korean politics | CNN

The visitors’ arrival comes as Moscow and Pyongyang bolster ties, pledging closer economic and military cooperation.

Russians arrive in North Korea as first foreign tour group since COVID-19 | Tourism News | Al Jazeera

Tesla sold just one Model Y SUV in Korea in January, as consumers worry about battery fires, a lack of charging stations, and cars made in China.

Tesla sold just one electric car in South Korea last month as some Korean consumers worry about vehicles made in China

The people behind the country’s TV and film boom are not profiting from it

South Korea’s writers and directors play Squid Game

ELOREA

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Implementing your application’s first and final line of defence. “There are two kinds of cryptography in this world: cryptography that will stop your kid sister from reading your files, and cryptography that will stop major governments from reading your files.” — Bruce Schneier Dutch cryptographer once said that a system should be secure even if everything is known about the system other than its key. In the case of the internet, with web applications serving as the system, passwords have become the new key. It’s not a stretch to say that your most valuable information is probably hidden across all your social media, cloud storage, digital banking and so forth. So, the first and final line of defence between you and digital burglars potentially highjacking your life is none other than your . Auguste Kerckhoffs password News publications all go over breaches, yet security is often the most daunting task for beginners in back-end development. I’ve been developing back end systems for a few years now and it still makes me uneasy. So, this guide aims not to provide backend code, but to provide new developers a skeleton for good password systems. bananas security Hashing So, you probably understand the basics of password usage: User provides password when she signs up. Password is stored in the database. When user later logs in, her attempted password is compared with the stored password. But how does Step 2 happen? How is the password stored ? securely The foundation of Step 2 in any good password system lies in its use of algorithms. In the real world, we don’t just store the password in our database. We store a representation of the password called So what is a hashing algorithm? hashing a hash. A hashing algorithm is a function that when inputted a string of arbitrary size will produce a fixed length string called . More simply, a hashing algorithm is a one-way function that converts any text of into text with the exact same length each time. a hash any size hash(“password”)= 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 hash(“p4ssword”)= eca8e05d94c236e78c389e15e1cad71ff9326bdfa5e1d79d92766f38414e66e5 // 1 different character = completely different hashes hash(“password”)= 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 // same input string = same output hash (every time) This is made possible by altering and construing the input text until it does not even remotely resemble the original string. For example, the commonly used SHA-256 algorithm always produces outputs of 256 bits for a total of 2²⁵⁶ possible outputs. As a result, it’s radically difficult to create — when two different input strings produce the same output. In fact, there is a chance of 1 in over 115 (that’s a real number; it’s 78 digits long) to produce a collision. collisions quattuorvigintillion Instead of storing a plaintext password in a database when a new user is created, a hash of the password is stored instead using a . Whenever that user later logs in, whatever password they log in with is hashed and compared with the original password’s hash to verify the user. This is because even if a hacker was able to break into a database and view its contents (which happens more often than you’d think), a hash effectively hides every password even if the hacker knew which hashing algorithm was used. hashing algorithm Kerckhoffs would be proud. Some things to remember: 1. A hashing algorithm will produce the same output for the same input.2. A slightly different input will produce a completely different output.3. A good hashing algorithm minimizes collisions. Or just use bcrypt (covered in final section). Good Passwords "cats_name_birth_year" = bad password “1Q8w$BSLsC” = good password First, what makes a secure password? The best passwords aren’t necessarily the ones that include both numbers, capital and lowercase letters, and special characters. Neither are passwords over 8–10 characters. Instead, what these web guidelines do is encourage users to expand variation in passwords to (hopefully) create a one-of-a-kind password. The best passwords are the ones that nobody has ever used before. Here’s why. Let’s do some quick math. Using 10 characters, your standard 26 lowercase characters will give you the option of 2⁶¹⁰ possible passwords. That’s a big number — 141,167,095,653,376 to be precise. However, we also have 26 uppercase letters at our disposal too (52 possible characters), which multiplies our total password count by 1000. When you add special characters and numbers our total password count (barring conditions) is 59,873,693,923,837,890,000. That number is too astronomically large to even wrap your head around. A more understandable metric would be how long it takes to crack a given password. Using a raw SHA256 hashing algorithm, it would take about 738 thousand years to brute force the entire key space. Seems secure enough? Yeah, right. Sort of relevant XKCD Salting A hacker’s best friend. (photo credits: kedeleducation) Even though it’s impossible to reverse engineer a given hash, we have standardized hashing algorithms like SHA. This means that hackers can compile huge datasets known as dictionaries of common passwords and hash each password themselves to see if any of the corresponding hashes equal the original password hash. Another technique is to precompute the hashes of a dictionary and place them into a data-structure known as a lookup table or rainbow table, making it EVEN easier to determine the original password. Since large numbers of hashes can be computed only once and reused, these types of hacks can be efficient. The best way to combat this method of hacking is to use : additional random characters added to the password when hashing. Each password requires a different salt, but the plaintext salt can be stored right alongside the password. How is this secure? salts Salting protects your passwords because salting renders all the hashes stored in a lookup table useless, since using a salt will completely change the hash. Hackers ultimately will have to resort to brute-forcing passwords with the given salt. Your passwords are (more or less) safe again. hash(“password”) = 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 hash(“password” + “salt”) 7a37b85c8918eac19a9089c0fa5a2ab4dce3f90528dcdeec108b23ddf3607b99 // completely different hash Hashes in Production So can you just take SHA256 implementation, throw in a secure salt, and call it a day? Just hold your horses for a second. Turns out you can’t just roll your own authentication. When the only limit to cracking your password is how fast a GPU can run (and GPUs get faster every year), your security system will start to resemble a ticking time bomb. To combat this, most modern authentication systems use a technique called . key stretching (Use this metaphor: a stretched out key takes longer to fit into a hole to check if it’s the right key) How key stretching works is beyond the scope of this guide, but essentially the technique makes it extremely difficult for hackers to test out a bunch of hashes in a short amount of time by slowing down the hashing algorithm and forcing hackers to wait (relatively) long times before a hash is produced. A popular implementation of key stretching is used in bcrypt, a password hashing library that has been developed specifically for passwords in 1999. In a world where technology quickly outpaces itself, the age of bcrypt is a testament to how powerful it is. The library is available in every language conceivable, from node.js to C and even generates a cryptographically secure salt to prevent rainbow attacks. Useful, right? hash = bcrypt.hash(“passw0rd”, salt_length) // cue Staples Easy Button Some Real World Advice Use libraries like bcrypt, use 2-factor authentication, follow emerging trends in network security, and penetrate test frequently. If you learned anything from this guide, I hope its this: never roll your own authentication. Your security isn’t just competing with hackers — it’s competing with other security systems since hackers can effortlessly apply the same hacking techniques from other attempts to your system. Remember this key lesson, and you should know enough about security systems to get started. Good luck! 🙌 _intelligent machines and the intelligent monkeys behind them_medium.com elore If you like crash courses in interesting computer science topics, check out elore ! We make cool articles like this about topics ranging from machine learning to hackathons. 🐒

A 6 Minute Guide to Password Systems

In 2023, I wrote about essential developers’ conferences to attend, highlighting their significance and benefits. The year 2024 has witnessed further developments in digital technology, with artificial intelligence (AI) and big data leading the charge and dominating the headlines. This year, there will be AI and big data conferences in different parts of the world for AI experts, researchers, and enthusiasts to attend either in real life or online. In most cases, organizing these events requires a lot of preparations, from hotel reservations for attendees to transportation and the provision of refreshments, etc. Nevertheless, there are usually options for online attendance. What Is an AI And Big Data Conference? An AI and big data conference is a gathering of AI experts, researchers, students and enthusiasts focused on exploring the latest developments in the fields of AI and big data. It is also a place to discuss the opportunities and the various challenges facing the AI and big data industry. Seasoned speakers are usually invited to deliver keynote speeches on various topics ranging from AI and big data applications and data privacy to issues bordering on AI ethics. Panel discussions are held to facilitate a mutual exchange between the audience and the panelists. There are also tech exhibitions showcasing the latest technologies and solutions. Why You Should Attend an AI And Big Data Conference There are peculiar reasons to attend an AI and big data conference in 2024, and these include staying abreast of the latest developments in the industry, networking or meeting like-minded people, learning new skills, and exploring career opportunities. Upcoming AI And Big Data Conferences to Attend in 2024 Whether you are an AI expert, a passionate researcher, or an enthusiast, AI, and big data conferences are great platforms for learning, networking, and staying updated on the latest trends in the industry. This list presents you with an overview of some of the upcoming conferences on AI and big data. The conferences covered include are World Summit AI, AI Summit New York, Oxycon, Analytics Summit, and Big Data Conference Europe, all of which are highly anticipated events in 2024. Oxycon Date: September 25, 2024
Location: Online
Cost: Free
Focus Areas: Fueling Businesses with Public Web Data, Mastering AI & Advanced Web Scraping Techniques, Optimizing Web Data Extraction Operations
Speakers and Agenda: Yet to be revealed Celebrating its 5th anniversary, OxyCon is an online event focusing on web data acquisition for businesses. This year, the speakers will discuss utilizing web data for boosting businesses and optimizing data operations. Mastering AI in web scraping will be another widely explored topic. What makes OxyCon stand out from other conferences is that it’s completely free – you just need to register so you get the link to access it. It is also held online (some conferences are still paid even for watching online), so you can attend it from the comfort of your home or office. The speaker list and agenda are not revealed as of July 2024. However, judging from the past, OxyCon’s speakers are usually top web scraping professionals from Oxylabs and some guests from other successful organizations. Whether you’re a developer or a business owner, you can really get some insider knowledge about data acquisition processes. World Summit AI Date: October 9-10, 2024
Location: Amsterdam, Netherlands
Cost: From €819
Focus Areas: Generative AI, Scaling Startups with AI, AI in Finance and Other Industries Held in Amsterdam, the World Summit AI is one of the largest AI conferences globally. The event’s schedule is busy, full of interesting presentations, panel discussions, and workshops. Some of the presenters include Trishul Chilimbi, VP and distinguished scientist, stores foundational AI at Amazon, Nitzan Mekel-Bobrov, Chief AI Officer at eBay, etc. Big Data Conference Europe Date: November 19-22, 2024
Location: Hybrid - Vilnius, Lithuania, and Online
Cost: From €730
Focus Areas: Predictive and Data Analytics, Kubernetes, Cloud Computing, Serverless Computing This hybrid event, held in Vilnius and available online, is in its 8th year. The Big Data Conference Europe includes hands-on workshops and a wide range of sessions on crucial AI topics such as ChatGPT, deep learning, and predictive analytics. It's an excellent opportunity for both in-person and virtual attendees to enhance their knowledge and skills. Some of the more interesting speakers include Gaurav Tiwari, Engineering Manager at Spotify, Karim Wadie, Tech Consultant at Google, and Ricardo Sueiras, AWS Cloud Practitioner at Amazon Web Services. The Analytics Summit Date: October 8-9, 2024


Location(Hybrid and Online): Hamburg, Germany


Cost: €249


Focus Areas: Data, Analytics, Marketing Technologies, Conversion Optimization, Cloud, Advanced Analytics, AI The Analytics Summit is the largest Google Analytics conference in Europe. Co-developed with Google, this event has expanded to cover a wide array of topics, from marketing technologies to advanced analytics and AI. It features multiple conferences, one-on-one meetings with experts, and hands-on seminars, making it a valuable experience for anyone passionate about data and technology. In this year’s Analytics Summit, there will be a lot of experienced and interesting professionals presenting. The speaker list features Cemre Şahin, Digital Data and Growth Marketing Manager at PepsiCo, Franziska Eickhoff, Chief of Data and Analytics at L’Oréal, and many more. AI Summit New York Date: December 6-7, 2024
Location: New York, NY, USA (Likely Hybrid Format)
Cost: Not stated on their website
Focus Areas: Artificial Intelligence, Business Applications, Technology The AI Summit New York is a key event for those looking to explore AI's business applications. With a likely hybrid format, it caters to both in-person and online attendees. The summit covers a broad spectrum of AI topics and offers a platform for networking with industry leaders. Although this year’s speakers and agenda have not yet been revealed (end of July 2024), the list includes associates from Meta, Google, EY, Cloudflare, Pfizer, and others: a prestigious yet versatile list of companies. Conclusion The importance of attending an AI and big data conference can't be overemphasized. To catch up with the latest developments in this burgeoning tech industry, attending conferences, whether online or in real life, has proven to be a very valuable and rewarding experience for attendees. In 2023, I wrote about essential developers’ conferences to attend , highlighting their significance and benefits. The year 2024 has witnessed further developments in digital technology, with artificial intelligence (AI) and big data leading the charge and dominating the headlines. essential developers’ conferences to attend This year, there will be AI and big data conferences in different parts of the world for AI experts, researchers, and enthusiasts to attend either in real life or online. In most cases, organizing these events requires a lot of preparations, from hotel reservations for attendees to transportation and the provision of refreshments, etc. Nevertheless, there are usually options for online attendance. What Is an AI And Big Data Conference? An AI and big data conference is a gathering of AI experts, researchers, students and enthusiasts focused on exploring the latest developments in the fields of AI and big data. It is also a place to discuss the opportunities and the various challenges facing the AI and big data industry. Seasoned speakers are usually invited to deliver keynote speeches on various topics ranging from AI and big data applications and data privacy to issues bordering on AI ethics. Panel discussions are held to facilitate a mutual exchange between the audience and the panelists. There are also tech exhibitions showcasing the latest technologies and solutions. Why You Should Attend an AI And Big Data Conference There are peculiar reasons to attend an AI and big data conference in 2024, and these include staying abreast of the latest developments in the industry, networking or meeting like-minded people, learning new skills, and exploring career opportunities. Upcoming AI And Big Data Conferences to Attend in 2024 Whether you are an AI expert, a passionate researcher, or an enthusiast, AI, and big data conferences are great platforms for learning, networking, and staying updated on the latest trends in the industry. This list presents you with an overview of some of the upcoming conferences on AI and big data. The conferences covered include are World Summit AI, AI Summit New York, Oxycon, Analytics Summit, and Big Data Conference Europe, all of which are highly anticipated events in 2024. Oxycon Date: September 25, 2024 Location: Online Cost: Free Focus Areas: Fueling Businesses with Public Web Data, Mastering AI & Advanced Web Scraping Techniques, Optimizing Web Data Extraction Operations Speakers and Agenda: Yet to be revealed Date: September 25, 2024 Location: Online Cost: Free Focus Areas: Fueling Businesses with Public Web Data, Mastering AI & Advanced Web Scraping Techniques, Optimizing Web Data Extraction Operations Speakers and Agenda: Yet to be revealed Celebrating its 5th anniversary, OxyCon is an online event focusing on web data acquisition for businesses. This year, the speakers will discuss utilizing web data for boosting businesses and optimizing data operations. Mastering AI in web scraping will be another widely explored topic. What makes OxyCon stand out from other conferences is that it’s completely free – you just need to register so you get the link to access it. It is also held online (some conferences are still paid even for watching online), so you can attend it from the comfort of your home or office. The speaker list and agenda are not revealed as of July 2024. However, judging from the past, OxyCon’s speakers are usually top web scraping professionals from Oxylabs and some guests from other successful organizations. Whether you’re a developer or a business owner, you can really get some insider knowledge about data acquisition processes. World Summit AI Date: October 9-10, 2024 Location: Amsterdam, Netherlands Cost: From €819 Focus Areas: Generative AI, Scaling Startups with AI, AI in Finance and Other Industries Date: October 9-10, 2024 Location: Amsterdam, Netherlands Cost: From €819 Focus Areas: Generative AI, Scaling Startups with AI, AI in Finance and Other Industries Held in Amsterdam, the World Summit AI is one of the largest AI conferences globally. The event’s schedule is busy, full of interesting presentations, panel discussions, and workshops. Some of the presenters include Trishul Chilimbi, VP and distinguished scientist, stores foundational AI at Amazon, Nitzan Mekel-Bobrov, Chief AI Officer at eBay, etc. Big Data Conference Europe Date: November 19-22, 2024 Location: Hybrid - Vilnius, Lithuania, and Online Cost: From €730 Focus Areas: Predictive and Data Analytics, Kubernetes, Cloud Computing, Serverless Computing Date: November 19-22, 2024 Location: Hybrid - Vilnius, Lithuania, and Online Cost: From €730 Focus Areas: Predictive and Data Analytics, Kubernetes, Cloud Computing, Serverless Computing This hybrid event, held in Vilnius and available online, is in its 8th year. The Big Data Conference Europe includes hands-on workshops and a wide range of sessions on crucial AI topics such as ChatGPT, deep learning, and predictive analytics. It's an excellent opportunity for both in-person and virtual attendees to enhance their knowledge and skills. Some of the more interesting speakers include Gaurav Tiwari, Engineering Manager at Spotify, Karim Wadie, Tech Consultant at Google, and Ricardo Sueiras, AWS Cloud Practitioner at Amazon Web Services. The Analytics Summit Date: October 8-9, 2024 Location(Hybrid and Online): Hamburg, Germany Cost: €249 Focus Areas: Data, Analytics, Marketing Technologies, Conversion Optimization, Cloud, Advanced Analytics, AI Date: October 8-9, 2024 Date: October 8-9, 2024 Location(Hybrid and Online): Hamburg, Germany Location(Hybrid and Online): Hamburg, Germany Cost: €249 Cost: €249 Focus Areas: Data, Analytics, Marketing Technologies, Conversion Optimization, Cloud, Advanced Analytics, AI Focus Areas: Data, Analytics, Marketing Technologies, Conversion Optimization, Cloud, Advanced Analytics, AI The Analytics Summit is the largest Google Analytics conference in Europe. Co-developed with Google, this event has expanded to cover a wide array of topics, from marketing technologies to advanced analytics and AI. It features multiple conferences, one-on-one meetings with experts, and hands-on seminars, making it a valuable experience for anyone passionate about data and technology. In this year’s Analytics Summit, there will be a lot of experienced and interesting professionals presenting. The speaker list features Cemre Şahin, Digital Data and Growth Marketing Manager at PepsiCo, Franziska Eickhoff, Chief of Data and Analytics at L’Oréal, and many more. AI Summit New York Date: December 6-7, 2024 Location: New York, NY, USA (Likely Hybrid Format) Cost: Not stated on their website Focus Areas: Artificial Intelligence, Business Applications, Technology Date: December 6-7, 2024 Location: New York, NY, USA (Likely Hybrid Format) Cost: Not stated on their website Focus Areas: Artificial Intelligence, Business Applications, Technology The AI Summit New York is a key event for those looking to explore AI's business applications. With a likely hybrid format, it caters to both in-person and online attendees. The summit covers a broad spectrum of AI topics and offers a platform for networking with industry leaders. Although this year’s speakers and agenda have not yet been revealed (end of July 2024), the list includes associates from Meta, Google, EY, Cloudflare, Pfizer, and others: a prestigious yet versatile list of companies. Conclusion The importance of attending an AI and big data conference can't be overemphasized. To catch up with the latest developments in this burgeoning tech industry, attending conferences, whether online or in real life, has proven to be a very valuable and rewarding experience for attendees.

Essential 2024 AI & Big Data Conferences: Oxycon, World AI Summit, AI Summit NY, Analytics Summit  

Comparison of Machine Learning Methods: Conclusions and Future Work, and References

Authors:
(1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr};
(2) Fatma Basak Aydemir [0000 −0003 −3833 −3997],  Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. Table of Links Abstract and Introduction
Background
Approach
Experiments and Results
Discussion and Qualitative Analysis
Related Work
Conclusions and Future Work, and References 6 Related Work Several studies in the literature have focused on issue classification, which has addressed a variety of objectives, including issue assignment, effort estimation, issue prioritization, and so on. In this section, we briefly give details regarding issue assignment studies in general and all Turkish-language issue classification studies in particular. Several types of research have been conducted in order to automate the time-consuming task of issue assignment. In 2017, Goyal et al. [18] review and categorize 75 research papers on the automated bug assignment area. They identify seven categories: machine learning [25,47,55,5,8,36], information retrieval [58], auction [24], social network [57], tossing graph [50], fuzzy set [37] and operational research based [26] techniques. They capture the fact that for automatic bug report assignment, machine learning and information retrieval techniques are the most popular ones. In recent years, deep learning algorithms have also been successfully applied in this field, which has recently revolutionized the idea of word sequence representation and demonstrated encouraging advancements in a number of classification tasks [17]. In this section, we restrict our focus to machine learning and deep learning architectures used to train issue assignment systems. The machine learning algorithms use historical bug reports to build a supervised or unsupervised machine learning classifier, which is then used to choose appropriate developers for new bug reports. Naive Bayes is the most widely used classifier in machine learning-based approaches according to prior studies [56,8,6,30,47], and it has been extensively tested [18] in the bug reports of open-source projects. Most studies use Eclipse [8,5,3,51,2,39] and Mozilla [8,51,39,23] projects to validate their proposals. Machine learning models in most approaches [5,36,51] use only summary and description as textual features of the issues. Jonsson et al. [25] use the combined title and description as textual features and version, type, priority, and submitter columns as nominal features. Sharma et al. [46] consider bug attributes, namely, severity, priority, component, operating system, and the bug assignee. To estimate the value of terms, most of the approaches [51,25,47,42] in the literature employ term-weighting techniques like Tf-Idf. Jonsson et al. [25] represent textual parts in the bug reports as the 100 words with the highest Tf-Idf. Shokripour et al. [47] use time metadata in Tf-Idf (Time-Tf-Idf). To determine the value of terms in a document and corpus, the Tf-Idf technique only considers their frequency. However, in determining the weight, time-based Tf-Idf considers the time spent using the term in the project. The developer’s recent use of the term is taken into account when determining the value of the developer’s expertise. They rank the developers according to their calculated term expertise, and the first developer on the list is assigned to fix the new bug. However, prior studies focused on open-source projects only but rarely [25,36] attempted in industrial environments like our study. Jonsson et al. [25] use ensemble learner Stacked Generalization, which is our best method also, that combines several machine learning classifiers on data from the automation and telecommunication company. In their approach, the different classes correspond to the development teams. Oliveira et al. [36] also use the data set of a large electronic company. They create a model that can distribute new issues according to the responsibilities of the teams using a variety of machine learning techniques and the WEKA [21] tool. To improve prediction accuracy, some researchers use incremental learning methods. Bhattacharya et al. [8] use various machine learning algorithms and achieve the best results using the NB classifier in combination with the product-component features, tossing graphs, and incremental learning in mostly used large projects: Mozilla and Eclipse. Xia et al. [55] offer the multi-feature topic model (MTM), a specialized topic modeling approach that extends Latent Dirichlet Allocation (LDA) for the bug assignment. To map the term space to the subject space, their approach takes into account product and component information from issue reports. Then, they suggest an incremental learning mechanism that uses the topic distribution of a new bug report to assign an appropriate developer based on the reports that the developer has previously fixed. The deep learning algorithms are attempted first in 2017 [16] for bug report assignment recommendation, to the best of our knowledge. Gupta et al. [19] describe the popular deep learning approaches applied to the domain of bug reports and Recurrent Neural Networks (RNN) and Long Short Term Memory (LSTM) are a few famous approaches being used for the deep learning-based approaches [16,31]. Mani et al. [31] use title and description parts and Florea et al. [16] use the component id, product id, and bug severity fields as one-hot-encoded categorical variables in addition to title, description, and comments to represent the issues. In 2022, Feng et al. [15] use four transformers models BERT and RoBERTa along with their distilled counterparts DistilBERT, DistilRoBERTa in an ensemble using a resolver team, resolver person, and description columns of the issues. In research using Turkish issue reports, there are limited studies available in a few fields. The reason may be the agglutinative nature of the Turkish language and the absence of a shared data set for Turkish issues in the literature. Aktas et al. [1] classified the issues they gathered from the banking industry among various software development teams. They use the Jira issue reports for their research like our study. They use SVC, CNN, and LSTM models to solve the classification problem, and they represent the summary and description columns of the issue reports as ordered vectors of Tf-Idf scores. The linear SVC classifier offers the best assignment accuracy for their research with a 0.82 score. Koksal et al. [27] present an automated bug classification approach using a commercial proprietary bug data set. They apply several machine learning algorithms and the SVM classifier is the best algorithm with 0.72 accuracy. In 2022, Tunali [52] prioritizes the software development demands of a private insurance company in Turkey. He proposes several deep-learning architectures and a pre-trained transformer model called distilbert-base-turkish-cased based on DistilBERT to achieve the highest accuracy of 0.82. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997],  Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. Authors: Authors: (1) Busra Tabak [0000 −0001 −7460 −3689], Bogazici University, Turkey {busra.tabak@boun.edu.tr}; (2) Fatma Basak Aydemir [0000 −0003 −3833 −3997],  Bogazici University, Turkey {basak.aydemir@boun.edu.tr}. Table of Links Abstract and Introduction Background Approach Experiments and Results Discussion and Qualitative Analysis Related Work Conclusions and Future Work, and References Abstract and Introduction Abstract and Introduction Background Background Approach Approach Experiments and Results Experiments and Results Discussion and Qualitative Analysis Discussion and Qualitative Analysis Related Work Related Work Conclusions and Future Work, and References Conclusions and Future Work, and References 6 Related Work Several studies in the literature have focused on issue classification, which has addressed a variety of objectives, including issue assignment, effort estimation, issue prioritization, and so on. In this section, we briefly give details regarding issue assignment studies in general and all Turkish-language issue classification studies in particular. Several types of research have been conducted in order to automate the time-consuming task of issue assignment. In 2017, Goyal et al. [18] review and categorize 75 research papers on the automated bug assignment area. They identify seven categories: machine learning [25,47,55,5,8,36], information retrieval [58], auction [24], social network [57], tossing graph [50], fuzzy set [37] and operational research based [26] techniques. They capture the fact that for automatic bug report assignment, machine learning and information retrieval techniques are the most popular ones. In recent years, deep learning algorithms have also been successfully applied in this field, which has recently revolutionized the idea of word sequence representation and demonstrated encouraging advancements in a number of classification tasks [17]. In this section, we restrict our focus to machine learning and deep learning architectures used to train issue assignment systems. The machine learning algorithms use historical bug reports to build a supervised or unsupervised machine learning classifier, which is then used to choose appropriate developers for new bug reports. Naive Bayes is the most widely used classifier in machine learning-based approaches according to prior studies [56,8,6,30,47], and it has been extensively tested [18] in the bug reports of open-source projects. Most studies use Eclipse [8,5,3,51,2,39] and Mozilla [8,51,39,23] projects to validate their proposals. Machine learning models in most approaches [5,36,51] use only summary and description as textual features of the issues. Jonsson et al. [25] use the combined title and description as textual features and version, type, priority, and submitter columns as nominal features. Sharma et al. [46] consider bug attributes, namely, severity, priority, component, operating system, and the bug assignee. To estimate the value of terms, most of the approaches [51,25,47,42] in the literature employ term-weighting techniques like Tf-Idf. Jonsson et al. [25] represent textual parts in the bug reports as the 100 words with the highest Tf-Idf. Shokripour et al. [47] use time metadata in Tf-Idf (Time-Tf-Idf). To determine the value of terms in a document and corpus, the Tf-Idf technique only considers their frequency. However, in determining the weight, time-based Tf-Idf considers the time spent using the term in the project. The developer’s recent use of the term is taken into account when determining the value of the developer’s expertise. They rank the developers according to their calculated term expertise, and the first developer on the list is assigned to fix the new bug. However, prior studies focused on open-source projects only but rarely [25,36] attempted in industrial environments like our study. Jonsson et al. [25] use ensemble learner Stacked Generalization, which is our best method also, that combines several machine learning classifiers on data from the automation and telecommunication company. In their approach, the different classes correspond to the development teams. Oliveira et al. [36] also use the data set of a large electronic company. They create a model that can distribute new issues according to the responsibilities of the teams using a variety of machine learning techniques and the WEKA [21] tool. To improve prediction accuracy, some researchers use incremental learning methods. Bhattacharya et al. [8] use various machine learning algorithms and achieve the best results using the NB classifier in combination with the product-component features, tossing graphs, and incremental learning in mostly used large projects: Mozilla and Eclipse. Xia et al. [55] offer the multi-feature topic model (MTM), a specialized topic modeling approach that extends Latent Dirichlet Allocation (LDA) for the bug assignment. To map the term space to the subject space, their approach takes into account product and component information from issue reports. Then, they suggest an incremental learning mechanism that uses the topic distribution of a new bug report to assign an appropriate developer based on the reports that the developer has previously fixed. The deep learning algorithms are attempted first in 2017 [16] for bug report assignment recommendation, to the best of our knowledge. Gupta et al. [19] describe the popular deep learning approaches applied to the domain of bug reports and Recurrent Neural Networks (RNN) and Long Short Term Memory (LSTM) are a few famous approaches being used for the deep learning-based approaches [16,31]. Mani et al. [31] use title and description parts and Florea et al. [16] use the component id, product id, and bug severity fields as one-hot-encoded categorical variables in addition to title, description, and comments to represent the issues. In 2022, Feng et al. [15] use four transformers models BERT and RoBERTa along with their distilled counterparts DistilBERT, DistilRoBERTa in an ensemble using a resolver team, resolver person, and description columns of the issues. In research using Turkish issue reports, there are limited studies available in a few fields. The reason may be the agglutinative nature of the Turkish language and the absence of a shared data set for Turkish issues in the literature. Aktas et al. [1] classified the issues they gathered from the banking industry among various software development teams. They use the Jira issue reports for their research like our study. They use SVC, CNN, and LSTM models to solve the classification problem, and they represent the summary and description columns of the issue reports as ordered vectors of Tf-Idf scores. The linear SVC classifier offers the best assignment accuracy for their research with a 0.82 score. Koksal et al. [27] present an automated bug classification approach using a commercial proprietary bug data set. They apply several machine learning algorithms and the SVM classifier is the best algorithm with 0.72 accuracy. In 2022, Tunali [52] prioritizes the software development demands of a private insurance company in Turkey. He proposes several deep-learning architectures and a pre-trained transformer model called distilbert-base-turkish-cased based on DistilBERT to achieve the highest accuracy of 0.82. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv

Comparison of Machine Learning Methods: Related Work

Exploring Drone Dynamics: Stability and Force Generation in Multimedia Design

If you’re following any influencers online, better check if they’re real or artificial, because in the recent wave of AI-based innovations, are the latest. virtual influencers In 2018, magazine issued its ‘25 Most Influential People on the Internet’, a roundup of individuals or groups that generated an exceptional worldwide effect on social media and digital communication throughout the year. Among the featured personalities, the Instagram model , with an estimated net worth range from US$10-US$16 million dollars, is not real. Time Miquela Souza Souza isn’t the only one. Check out on Instagram, a virtual celebrity created by Avtr Meta Labs in 2022, or , who has worked with brands like L’Oreal, Apple, Titan EyeX, and many more. Naina_avtr Kyraonig Meaning: she is a virtual influencer. Although today’s digital platforms are populated by AI-powered and AI-generated content, which includes algorithm-driven programmatic advertising to creative content, such as posts completely written by AI-writing tools such as ChatGTP, the phenomenon of virtual influencers is a weird one and has been redefining how virtual and real persons interact and build online bonds. A look at all platforms and lets us know that virtual influencer popularity is peaking on Instagram probably because of the social media’s inherently visual nature. Thanks to advanced Computer-Generated Imagery (CGI) techniques and the tactical usage of narrative strategies typical of Instagram storytelling, virtual influencers make extremely accurate avatars with different levels of anthropomorphism, human likeness, and personality. social media First, we had chatbots doing the same, but the fact that they are disembodied kept a distance. However, artificially generated virtual influencers come quite close to sounding and looking like their human counterparts, and they’re seen coexisting on the same social media platforms. Just like any human influencer, virtual influencers have human-like storylines and pictures with humans. In fact, they even publicly interact with human users in their comment sections, and they often advocate for political and social causes. Most significantly, they endorse services and products on social media by partnering up with brands like Gucci, Samsung, and Adidas, so that they’re just as good an option as human influencers. These virtual influencers are wielding the same impact that a human influencer does. A look at the comments that Naina_avtr receives says it all. People are just as equally smitten. This reminds me of , the 2002 Hollywood movie starring Al Pacino and Evan Rachel Wood, where a virtual starlet takes the world of cinema by storm. The difference here is that people are aware of the artificiality of these influencers. Simone According to a , in line with the idea that individuals apply human social rules when interacting with computers, disclosing the synthetic nature of a fully anthropomorphized virtual persona does not affect influencer and brand perceptions. study Despite virtual influencers’ objective lack of capacity to perceive and feel affective and sensorial information, their acceptance by the users remains unhindered when they use an emotion-based communicative style. The social and business implications for companies aiming to implement virtual influencers successfully are high “Despite virtual influencers’ objective lack of capacity to perceive and feel affective and sensorial information, their acceptance by the users remains unhindered when they use an emotion-based communicative style. The social and business implications for companies aiming to implement virtual influencers successfully are high,” the study says. What does this say about influencers at large? What does this mean for human influencers? Maybe, an influencer’s image is already something of a fantasy, which is why even after knowing about the artificiality of an influencer doesn’t matter to the audience. So should human influencers be worried about losing their jobs? Like many other creator job holders, they probably should. Building a virtual influencer is easy, cost effective, and way less fussy. They also say exactly what brands want them to say, and most importantly, the audience doesn’t mind that they don’t physically exist. This article was originally published by on Navanwita Bora Sachdev The Tech Panda.

Virtual vs Human Influencers: Redefining Human Computer Bonding

Hey Hackers! HackerNoon is proud to be a media partner for this year’s Digital Artisans by ITAK, taking place in Singapore on September 13th, 2023. The exclusive event will gather high-profile attendees from Singapore's luxury, Web3, artistic, and finance circles, creating an evening filled with engaging discussions, networking opportunities, and a deep dive into the future of culture. About ITAK At , the belief is that true innovation thrives at the crossroads. These intersections symbolize the meeting points of diverse mindsets, cultures, and skills, essential in building a multifaceted and dynamic future. As it regroups creative strategists specialized in building innovative experiences, the company thrives at these intersections. ITAK ITAK's creations take various forms, such as Web3-powered loyalty programs, VR concept films, AI mockups, and CGI campaigns. What ties them together is their shared reliance on cutting-edge technologies to push aesthetic and storytelling boundaries, all while serving the customer. ITAK is an Innovation Catalyst centered on three key pillars: Agency, Accelerator, and Education. These pillars help the company innovate by connecting brands, creators, startups, and venture capitalists. The goal is to harness the power of positive innovation. In just two years, ITAK has established a strong network of clients and partners, including Mercedes-Benz, Vacheron Constantin, L’Oréal, Richemont, Hublot, Rimowa, Paco Rabanne, Ledger, Bitgo, Polygon, Blockchain Founders Fund, Puig, Pull & Bear, Calvin Klein, Courbet, Doc Martens,  ... About DIGITAL ARTISANS Taking inspiration from past artistic communities like the DADAists, ITAK has established a group of members consisting of artists, thinkers, marketers, poets, investors, designers, and philosophers. Collaboratively, this diverse community delves into discussions about the role of digital art in the modern world. The community is called "Digital Artisans". Throughout the year, ITAK celebrates and showcases the incredible work of their Digital Artisans through bespoke events and on their social platforms. Their aim is to foster a profound understanding and respect for digital art while nurturing its growth. Following a very successful start in Paris in March 2023, ITAK is joining forces with leading Web3 projects BitGo, MattersLab, and Cheelee for the second edition of the "Digital Artisans" Event in Singapore. The event is set for September 13, 2023, aligning with Asia Crypto Week and the exciting F1 Race! Between 7pm and midnight, visitors will be greeted at the 10 Square Building, located at 1 Short Street, to experience 5 to 10 global digital artists presenting their creations on Singapore's biggest screen. The venue will be transformed into a "Pit Stop" station by designer Dennis Vanderbroek, renowned for his work on the Diesel’s SS23 Fashion Show that went viral. Led by Mado Scott, ITAK's Chief Creative Officer, the event’s curation is boldly avant-garde. Renowned digital artist Frederik Heyman headlines the selection. His credits include designing for Beyoncé's recent Renaissance tour and collaborating closely with artists like Lady Gaga and Acra, headlines the selection. The lineup also features Nast Plas, Alexandros Mavrogiannis, Anonyme Society and resident Digital Artisans Nuderobot, Dr. Formalyst and Luna Ikuta who exhibited their work on the first edition of the event. The exclusive event will gather high-profile attendees from Singapore's luxury, Web3, artistic, and finance circles, creating an evening filled with engaging discussions, networking opportunities, and a deep dive into the future of culture. About the ITAK founders Massimo Moretti Chief Executive Officer at ITAK. Massimo has a remarkable track record of success in business growth, go-to-market plans, cultural marketing and PR. He actively nurtures and widens a strong global network that includes investors, influential thinkers, luxury brands, and Web3 pioneers. A frequent speaker at prominent Tech, Web3, and Luxury gatherings like INSEAD Global Luxury Forum in Paris, NFT NYC, Arab Luxury World, GITEX in Dubai, Token2049 in Singapore and NFT Festival Korea. Massimo is a regular contributor to high-level discussions. Mariem Farhat Chief Operations Officer at ITAK. Mariem is an innovation expert who helps brands in creating strategic proof of concepts through cutting-edge technologies. Mariem brings 8 years of experience working with startups, luxury brands, and Fortune 500 companies (Amazon, L’Oréal, The Kooples…). Through her knowledge in strategy, product, marketing, and branding, she's a standout problem solver and creative strategist, driving growth and transformation. Mado Scott Chief Creative Officer at ITAK. Mado is an award winning creative director (ANDAM Award, French Ministry of Culture, HEC incubator), producer and art curator specialized in digital mediums such as 3D, CGI, VFX, gaming and AI. Mado is an experienced content creator, collaborating with well-known artists like Imany, Miss Fame, Alphonse Maitre Pierre, Nuderobot as well as brands Lacoste, Calvin Klein, Pull and Bear and more, Mado excels in blending imaginative ideas with the latest technologies to create disruptive concepts for brands and artists. About the co-hosts BitGo provides the most secure and scalable wallet solutions for the digital asset economy, offering regulated custody, staking and trading, and core infrastructure to investors and builders alike. Founded in 2013, BitGo pioneered the multi-signature wallet and is the first digital asset company to focus exclusively on serving institutional clients. In 2018, it launched BitGo Trust Company, the first qualified custodian purpose-built for storing digital assets and established BitGo New York Trust in 2021. In 2022, BitGo launched institutional-grade DeFi, NFT and web3 services. BitGo secures approximately 20% of all on-chain Bitcoin transactions by value and supports more than 700 digital assets within its platform. BitGo provides the security and operational backbone for more than 1500 institutional clients in 50 countries, including many regulated entities and the world’s top cryptocurrency exchanges and platforms. BitGo zkSync Era is a Layer-2 protocol that scales Ethereum with cutting-edge ZK tech. Our mission is not only to merely increase Ethereum’s throughput, but to fully preserve its foundational values – freedom, self-sovereignty, decentralization – at scale. zkSync Cheelee GameFi Social Media - short video platform where you can earn from watching a feed as a user. Our mission is to provide everyone the opportunity to monetize their time on social media. Despite the number of subscribers. Watch. Play. Earn. Ten Square, Landmark of Good Located on 1 Short Street, Singapore, the Ten Square building envisions to be Placemaker of GOOD to promote the spirit and art of #doinggoodtogether. Passionate in empowering youths, tech, creatives, arts, design and media through Ten Square. Dennis Vanderbrook Studio Studio Dennis Vanderbroeck’s spatial design manifests itself on an international scale in various contexts and disciplines such as theater, fine art and fashion. With its hyper aesthetic visual language the Studio creates physical spaces in which a dialogue between the designed space and the visitor is key. Studio Dennis Vanderbroeck is based in Rotterdam, The Netherlands. Vanderbroeck has collaborated with international powerhouses such as Diesel, Y/Project, TENT Rotterdam, Palais de Tokyo, International Theater Amsterdam and Dover Street Market across the spectrum of theater, fashion, fine art and music. The artists NastPlas is an international artists duo based in Madrid, Spain, formed in 2006 by illustrator Fran R. Learte 'drFranken' and creative director Natalia Molinos 'Na' (together 'Equipo Nastplas'). NastPlas Their work combines an impressive range of digital elements and abstract patterns with which they develop elaborate art pieces with a deep aesthetic inspired by the laws of nature, forms found in science, engineering, architecture, thought, inquiry, and scientific research. Their imagination is nourished by a personal symbolism with which they seek to reflect in their works, scenes, and objects related to the human and natural world, always cultivating the continuous search for answers of something beyond the visible, attracting the imagination and emotions of the viewer. Through different planes, they explore in a conceptual background the limits between reality and abstraction through an ascending and constant process of research and artistic experimentation. Check out NastPlas’ Instagram . here Jae Kim Yeon South Korean artist Jae Yeon Kim turns real-world observations of human movement, posture, emotion, and behavior into colorful, friendly three-dimensional animations. This approach could be seen as an anthropomorphised perspective. She primarily considers a balance between human-centred thinking and fantastic imagination with experimental approaches by manipulating physical properties. This creative practice can be described as understanding and depicting the subconscious desire to reflect concealed ego from social pressure. Check out Jae Yeon Kim’s Instagram . here Alexandros Mavrogiannis and Konstantinos Lianos / 2.2 Studio 2.2 is a newly-formed experimental-based design duo of Alexandros Mavrogiannis and Konstantinos Lianos, based in Athens, Greece. The duo's process based research and practice often explores the possibilities of a non binary state where the digital and the physical combined create space for new perceptions of reality. Their creative language  gives a poetic perspective to scientific visual references  twisting  literal interpretations. Their design method is a combination of procedural and non procedural approaches. Check out 2.2’s Instagram . here Frederik Heyman Frederik Heyman's (°1984) work is a balancing act incorporating multiple media. Heyman's various backgrounds are clearly visible in the working process. The outcome,  mainly created in a digitally altered environment, results in digital installations and video. In each image every element and action are carefully designed and defined in advance.This reflects in his commissioned works as well in his personal, more eclectic oeuvre. In his work, Frederik Heyman uses photogrammetry to stage digital worlds out of relics of the past. Because one needs time to experience three dimensions, a 3D-scan is a bearer of duration. This duration gives Heyman’s work a narrative element which is often amplified by (mechanically induced) movement and timed text. For Heyman, the 3D-scan is not only a means to conserve the past, but also a means to recycle the present and an attempt to shape the future. Heyman explores the desire to overcome humanity.  Technology and the human body are the protagonists. His imagery, whether based on fact or fiction, asks us how we want to remember. Check out Frederik Heyman’s Instagram . here Unexplored Fields Unexplored Fields is a creative collective founded by Antoine Belot, Virgile Biosa, and Étienne Kawczak-Wirz. The collective specializes in creating innovative and immersive digital experiences that blend technology, art, and nature. Through their work, Unexplored Fields aims to inspire and connect people around the exploration of new and uncharted territories. Their projects are often focused on the natural world and the intersection between nature and technology. Unexplored Fields has worked with a range of clients, including brands such as Calvin Klein, Lacoste, Dr. Martens, and more.. Their work has been featured in exhibitions and events around the world. In addition to their work at Unexplored Fields, the collective members are also involved in various other projects and collaborations. They have been interviewed by various publications, including Citadium and Substance 3D, and continue to push the boundaries of what is possible in the creative industry. Check out Unexplored Fields’ Instagram . here Sabrina Ratté Sabrina Ratté, a Canadian artist based in Montreal, explores the diverse forms of digital imagery. Her artistic practice encompasses a wide array of mediums, including analog video, 3D animation, photography, printmaking, sculpture, virtual reality, and installation. By continuously incorporating new techniques into her work, she delves into recurring themes that include the influence of architecture and the digital environment on our perception of the world, our relationship with the virtual aspects of existence, and the convergence of technology and the natural world. Her work has been exhibited in institutions such as the Laforet Museum in Tokyo, the Montreal Museum of Fine Arts, the Centre Pompidou in Paris, the PHI Center in Montreal, the Chronus Art Center in Shanghai, and the Museum of the Moving Image in New York. She has presented solo exhibitions at Gaîté Lyrique in Paris and Arsenal Contemporary Art in Montreal and New York. Notably, her work is part of the collection at the Montreal Contemporary Art Museum. Ratté was longlisted for the Sobey Art Award in Canada in 2019 and went on to receive the award in 2020. Check out Sabrina Ratté’s Instagram . here Nude Robot Nude Robot is a Los Angeles-based 3D artist who specializes in creating immersive realities that blur the boundaries between physical and digital worlds. Drawing inspiration from cultural archives, Nude Robot's work transports viewers into imaginative states that are typically reserved for dreams or the bardo. With a focus on bridging the gap between digital surrealism and human realism, Nude Robot aims to challenge traditional notions of reality and perception. https://www.instagram.com/p/ClpdAusNQfW/?embedable=true In addition to his work as an artist, Nude Robot is also known for his directing work, having collaborated with top artists such as Bad Bunny, Young Thug, Kanye West, Don Diablo, and many others. His viral hits have amassed almost 1 billion views across social media, with over 100 million views on music videos he has directed and 1 billion views on videos where he has led the VFX. Through his use of CGI to composite into real footage, Nude Robot creates a sense of surrealism that pushes the boundaries of what's possible in art. He explores new dimensions of thought and experience, where the digital and the human merge into something wholly unique and transcendent. Check out Nude Robot’s Instagram . here Dr Formalyst Dr Formalyst is a Madrid-based visual artist and metaverse architect. As an architect, designer and creative coder he spent 25 years making everything from architecture, to hundreds of websites, brand identities, video games and mobile and mixed reality apps. But becoming Dr Formalyst allowed him to step away from that in order to experiment without the burden of rational thinking. His primary creative objective is exploring and exposing how the human mind works, with focus on creativity, perception and the generation of meaning. He uses mixed digital techniques like generative CGI, code and AI to play with forms in motion at the edge between figuration and abstraction, in order to evoke elusive stories that live just outside of the limits of our comprehension. Check out Dr Formalyst’s Socials: | | Instagram Website Twitter Luna Ikuta Luna Ikuta is a multidisciplinary artist and designer practicing sculptural works along with digital and physical installations of transparent botanical gardens. Born in Tokyo and currently based in Los Angeles, she earned her BFA at the Rhode Island School of Design. Her sculptural works have been commissioned for permanent art installations and on multiple occasions Ikuta has presented site specific projects at her studio and at institutions, transforming spaces into aquatic environments of ghostly underwater gardens. Selected projects include City of Culver City*,12 Months of Afterlife*, Vogue Singapore; , Lady Gaga; and exhibitions include Dynamic Art Museum, Milan, Shenzhen (2022), Art Basel Miami (2021) (2022), CAFA Museum, Beijing (2023). Eternal Garlands, Remember Me Chromatica Ball World Tour; Check out Luna Ikuta’s Instagram . here

DIGITAL ARTISANS by ITAK

Artificial intelligence is a technology that surprised the world by evolving from a fictional tale in movies to now having a ubiquitous influence in every sphere of human life. But was this an unpredictable change? Not really. The algorithms and experiments started back in the 1950s. It built the foundation of the AI we know today, like business automation software, the infamous Alexa and one of the biggest accomplishments of AI this year - . ChatGPT This level of evolution is possible only if the right minds put on their thinking caps and begin execution in the right direction. Lets See The List of 10 AI Development Companies in USA 1. Google Cloud Google Cloud offers an array of machine learning and artificial intelligence tools for developers and data scientists. These tools can be used at every stage of the development pipeline, i.e. preparation, building, validation and deployment of AI platforms. Google Cloud’s services primarily include virtual resources and physical assets. Some tools available on the platform include , Vertex AI Workbench, Cloud Natural Language, Video AI, Vision AI, and AutoMl, to name a few. Its services extend to infrastructure development tools for building prototypes, scaling, and deploying projects. Vertex AI For instance, its Deep Learning Containers have pre-configured deep learning environments which can assist in building prototypes. And the high-performing GPUs help with scientific computing and ease specific workloads. For its remarkable vision and resources, in 2022, in Magic Quadrant for Cloud AI Developer Services. Some noteworthy clients of Google Cloud include PayPal, Gojek, 20th Century Fox, P&G and Twitter. Gartner named Google Cloud the leader Launched: April 7, 2008 Employees: 32000+ Stock Price: USD 96.94 (as of 16th February 2023) 2.  Inc. RisingMax Inc. RisingMax is one of the leading AI company, acts as a digital transformation catalyst for startups and FORTUNE-500 companies. They are obliged to assist businesses worldwide in reducing their carbon footprint and creating a sustainable future. With the strong eco-community, they support green tech initiatives and reward businesses working to build a better tomorrow. They celebrate the project's success by planting 100+ trees each time. By rewarding or compensating the plating cost, they also encourage our clients to plant at least 50 trees. 3. OpenAI Open AI is a non-profit AI research and deployment company based in San Francisco, California. Open AI’s hall of fame includes Chat GPT, DALL·E 2 and Whisper. Chat GPT is a masterpiece of conversational AI with the ability to produce unique dialogues based on inputs. DALL·E 2 can create original and realistic image compositions based on descriptions. Whisper is an automatic speech recognition tool that can go through any quality of audio in any language and transcribe it accurately. Additionally, Open AI has other development tools to offer, like GPT3 and Codex. Users can also leverage Open AI’s free content filtering, end-user monitoring and scoping of API usage services. Pacific Northwest National Laboratory, Scale Media Inc., and Stellar Science Ltd. currently use OpenAI services. As per , OpenAI aims to achieve revenue of $1 billion by 2024. With investors like Microsoft, Khosla Ventures and Reid Hoffman’s charitable foundation, the future of  AI innovation in OpenAI looks bright. Reuters Launched: December 10, 2015 Employees: 375+ Stock Price: Open AI is a private company as of February 16, 2023 4. IBM Cloud IBM is leading the AI sector with its AI technologies. IBM cloud features a list of tools, including AI and Machine learning tools, specifically . It was released in April 2010 and is still actively used to build machine learning models. Watson AI IBM Watson Assistant, Discovery, Knowledge Catalog, Language Translator, Knowledge Studio and Natural Language Classifier are some useful AI tools available on IBM Cloud. In 2020 AI market share report with the largest market share of 13.7%. IBM received the #1 ranking in the IDC IBM Cloud’s Watson AI is used by 70% of banking institutions and by some of the top companies like Panasonic, Covéa, DB Dialog & DB Systel and Humana Inc. Its use cases in multiple industries spread across 21 verticals, including insurance, aerospace, defense, banking and transportation. Launched: April 2010 Employees: 300k+ Stock Price: USD 136.4 (as of 16th February 2023) 4. Amazon Web Services (AWS) Amazon Web Services has a comprehensive set of AI and machine learning tools targeting business analysts, data scientists, and engineers, allowing them to build, train, and deploy their ML models even without ML experience. Users can engage with ML experts and utilize AWS’s consulting services to complete their projects. The platform has a list of free tier tools like Amazon Polly, , Amazon Comprehend, Amazon Translate, Amazon Lex and Amazon Transcribe. AWS boasts a partnership with industry leaders like Intel, Accenture, Deloitte and C3 AI. Amazon SageMaker AWS AI has been employed by many startups and enterprises, such as Amazon, Discovery, Intuit, Formula 1 and Cambia Health Solutions. For its successful operation, Gartner recognized it as a leader in the Cloud AI Developer services' Magic Quadrant. Launched: November 2016 Employees: 40,000+ Stock Price: USD 101.16 (as of 16th February 2023) 6. Alibaba Cloud Alibaba Cloud is one of the leaders in the cloud computing and AI industry, with tools and services for developers and enterprises. With its end-to-end solutions, such as data processing, model training, prediction and evaluation, it aims to make AI more accessible to all. Alibaba Cloud’s AI tools include technologies like Vision AI, Intelligent Speech, NLP, Interactive AI and Intelligent Marketing. Its services are spread across many verticals like finance, education, transportation and new retail. The recognized Alibaba Cloud as one of the top 3 public cloud enterprise container platforms. Companies like Newegg, Blackboard, PicsArt and Align Technology leverage the AI services of Alibaba Cloud. Forrester report Launched: September 2009 Employees: 3000+ Stock Price: USD 103.08 (As of February 16, 2023) 7. Microsoft Azure Microsoft Azure AI services create a new way to access breakthrough research in the industry. The platform’s easy API calls can help data scientists and data engineers access language, vision, speech and decision-making AI. Broadly, the Azure services include Azure Applied AI, Azure Machine Learning, Azure Infrastructure and Azure Cognitive Services, each of which can enhance business processes, accelerate performance and add an extra layer of security. Specifically, Azure offers machine learning tools like Jupyter, Notebooks and Visual Studio Code and open-source frameworks like TensorFlow and PyTorch. Besides its low-code and no-code tools, services give users access to powerful AI tools like GitHub Copilot and GPT3. Azure’s Open AI Microsoft Azure was recognized as a leader in the ‘2021 IDC MarketScape for worldwide general-purpose conversational AI platforms.’ GigaOm also positioned . Azure’s active clients include industry leaders like BBC, NHS, Twitter and NBA. Azure among the leaders in the MLOps Radar Launched: February 2010 Employees: 200,000+ Stock Price: USD 269.32(As of February 16, 2023) 8. Salesforce Headquartered in San Francisco, California, Salesforce presents a large infrastructure of AI tools for admins and developers to build, train and deploy AI projects. Einstein is the most well-known platform in Salesforce, with no-code pre-built solutions and custom AI features. It’s well known for laying a rich set of AI tools for smart apps, such as Einstein Prediction Builder, Einstein Bots, Einstein Vision, Einstein Language and Einstein Language Discovery. Salesforce has been recognized as a leader, for the 16th consecutive year, in the 2022 Quadrant™ for Sales Force Automation Platforms. Some of the well-known clients of Salesforce include notable names like Ford, Loreal, Hologic and Engie. Gartner® Magic Launched: 2016 Employees: 73000+ Stock Price: USD 171.10 (As of February 16, 2023) 9. Deepmind Started in 2010, Deepmind is a research laboratory with a team of scientists, engineers and ethicists innovating AI. It’s headquartered in London with offices in other parts of the world like Canada, France and the United States. , The company achieved success early on when its AlphaGo program became the first to beat the professional Go Player. After partnering with Google in 2014, Deepmind was able to develop programs that detect eye diseases. According to BBC Its innovative AI is used to personalize recommendations in Google Play and predict patient deterioration in the U.S. Department of Veterans Affairs. Launched: 2010 Employees: 1000+ Stock Price: USD 96.94 (As of February 16, 2023) 10. Samsung Samsung is bringing forth its research in AI to build innovative solutions and smart devices. Samsung’s AI is currently focused on AI Fundamentals, Language and Voice AI and Vision AI. The company has expanded to five countries and established 7 AI centers in Korea, the UK, Canada, Russia and the USA. At , the company unveiled its vision of innovating technology with AI-based semiconductors. Samsung became one of the first to create AI chips using Synopsys AI software. These AI chips, called the , are used in most of the Samsung smartphones built today, like the Galaxy S20 and the Note 10 Lite. Samsung AI Forum 2022 Exynos Today, the company’s list of smart devices also includes the AI EcoBubble washer, which analyzes the patterns and determines the best washing cycle for its users. Launched: March 1938 Employees: 266,000+ Stock Price: 63,700 KRW (As of February 16, 2023) 11. Neuralink Neuralink is a neurotechnology company based in the US and owned by Elon Musk. The company's purpose is to find the brain-computer connection and build a chip that can be implanted surgically in the skull. The chip will be called the N1 chip with an 8mm diameter and electrodes and insulation for the wires. In 2021, Neuralink made a showing a monkey with a brain chip playing a video game. According to , the chip may help bring back someone’s eyesight and fix any damage to the brain. video Musk Founded: 2016 Employees: 300+ Stock Price: USD 0.000008668 (As of February 16, 2023) Final Words: What Is the Future of AI? From AI software writing an entire novel to a chip that can control humans using an app, AI innovations are not easy to comprehend. But these companies have the resources, the skills and the determination to build something big in this direction. Our list of the Top AI development companies includes the leaders that are commanding the AI industry today. Soon, AI will take over every sphere of our lives and become an indispensable aspect of every business.

Top 10 AI Development Companies in USA

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Streamline Your Content Creation with ChatGPT Prompts TL;DR: Explaining AI content generators AI Prompts for Keyword Research AI Prompts for Blog Headers AI Prompts for Blog posts AI Prompts for UX Design AI Prompts for Product Descriptions AI Prompts for Social MediaAI Prompts for Keyword Research What Is an AI Content Generator? You’ve probably heard of ChatGPT by now, but what exactly is it? ChatGPT is “an AI-powered chatbot developed by OpenAI, based on the GPT (Generative Pretrained Transformer) language model. It uses deep learning techniques to generate human-like responses to text inputs in a conversational manner.” An AI content generator is a machine-learning technology that enables computers to automatically generate content. This content can include anything from blog posts and articles to social media posts and tweets. What Is an AI Prompt? Before ChatGPT can help you, you need to tell it what you want. A prompt is like a customized order at Starbucks, where you have to tell your barista what you want if it isn’t on the menu. A prompt is a short piece of human-supplied text that serves as the starting point for ChatGPT’s response. ChatGPT will generate a response according to the prompt. From simple questions to full-blown code, there are lots that this tool can accomplish. Below, we have listed some of our very favorite and effective prompts for you to try yourself. Here Are Some Tips to Help You Write Better AI and Chatgpt Prompts: Specify exactly what you want the AI tool to write about. Give sufficient context about the topic of your post, as well as your tone of voice, target audience, and desired result. Define any restrictions, such as content length, tone, style, or topic you want the AI to avoid. Do note that knowledge is still limited to data, so it might be wise to cross-check the information with a tool that has real-time capabilities. ChatGPT’s 2021 AI Prompts for Keyword Research Write a list of keywords related to this topic: <insert topic>. Write a list of long-tail keywords for this topic: <insert topic>. Write a list of potential search queries a user might enter to find information on this topic: <insert topic>. Write a list of potential questions a user might have about this topic: <insert topic>. Consider the following set of keywords and their volume <Paste your keywords + volume data> Find the most suitable terms to set as primary & secondary keywords. Generate a table with columns for a keyword, volume, and primary/secondary. Cluster the following keywords into groups based on their semantic relevance: <insert list of keywords>. Identify the search intent of the following keywords <>. Classify the following keyword list in groups based on their search intent, whether commercial, transactional, or informational: <insert list of keywords>. AI Prompts for Blog Headers Write a list of actionable blog titles for this topic: <insert topic>. Write a list of descriptive blog titles for this topic: <insert topic>. Write a list of blog titles at include a call to action on this topic: <insert topic>. Generate <X> unique title tags, of a maximum of 60 characters, for the following text. They should be descriptive and include the term <insert keyword> in them: <insert a paragraph or more of text>. Generate <X> unique meta descriptions, of a maximum of 150 characters, for the following text. They should be catchy with a call to action, including the term <insert keyword> in them: Write a list of log titles that include a list or number on this topic: <insert topic>. Write a list of blog titles that include keywords related to the topic: <insert topic>. Write a list of blog titles that include a question on this topic: <insert topic>. Write a list of blog titles that include a statistic on this topic: <insert topic>. AI Prompts for Blog Posts What are the pros and cons of <product/service/topic>? What are the most common misconceptions about <topic>? Generate a list of blog topic ideas within <industry/niche>. Write a list of potential headings and subheadings for a blog post on this topic: <insert topic>. Write a list of potential sections for a blog post on this topic: <insert topic>, targeted at < >format with headers, sub-headers, bullet points, include an SEO title, H1 descriptions, and Meta description. inset target audience Answer the following question in a short paragraph: <insert question>. Write a FAQ section about <insert topic>. AI Prompts for UX Design Create a persona of a [lawyer] based on a [Saul Goodman from “Better Call Saul]. 2. Challenge a [dashboard design] by coming up with what-if [functionality] questions. 3. Create a text-based excel sheet to input your copy suggestions. Assume you have 3 members in your UX writing team. 4. Act as a user researcher for a <product>. Pretend I’m a user and ask me questions about my experience. 5. Brainstorm ideas that prompt the user to collaborate with their team members in a [saas platform]. 6. What are the UI cases that need to be considered when designing a <product>? 7. Generate a typography style guide for a [mobile application] in excel format. AI Prompts for Product Descriptions Write a sophisticated paragraph about this <insert product name>. Write a list of emotional benefits for the features above. Write a compelling value proposition for <product name>. Given the key features, write a <insert adjective> paragraph that will move customers to action in buying <insert product name>. Write an AIDA about this product. Create a product description using the above product technical details. What should I include in my product homepage about <insert product description>? AI Prompts for Social media Youtube Write a YouTube video script for a video titled <“13 ChatGPT prompts for marketers”] where the 13 points are as follows: 1. Write compelling headlines 2. Write blog posts 3. Write product descriptions 4. Write LinkedIn posts 5. Write Instagram captions 6. Write YouTube video scripts 7. Design graphics for Canva 8. Write lead generation quizzes 9. Write website copy 10. Write newsletters 11. Write sales emails 12. SEO research 13. Create step-by-step guides.> Ads Generate a 2-minute video script for a Facebook ad campaign promoting our new service <Service description>. Create two Google Ads in an RSA format (using multiple headlines and descriptions) for an A/B test for “your company” Explain why the ads would make a good test. Instagram Write a 100-word Instagram caption on <topic>, in a friendly, informative tone, and insert top trending hashtags. Come up with 5 points for a carousel about <topic>, targeting <target audience>. Twitter Imagine that you are an expert in <topic>, write a 10-tweet informative Twitter thread about <inset topic>, and use “✍🏻” as bullet points. Write in the third person about an experience specific to <topic>; the goal is to be relatable and funny. The tweet is to be posted on a community channel. Create a content calendar with 5 main content pillars <pillar 1>, <pillar 2>, <pillar 3>, <pillar 4>, <pillar 5>. Come up with a list of topics that can be turned into a Twitter thread, and organize the information in a table. LinkedIn Generate 5 topics for LinkedIn about <profession or topic>. Assume the persona of a Product Researcher, and provide a UX research tip for a LinkedIn thought leadership post. Keep the post short, and use sentences that are punchy and concise. The tone should be informative and helpful. Write a LinkedIn post caption with the title “How To Start Writing”; call to action with an article link, make the text sound more engaging, and insert some humor, but make sure it is still clear and actionable. Use “✍🏻” as bullet points. Influencer Brand Deals What factors should I consider when quoting for a brand deal with a candle company, and what ballpark range should I charge? The scope is to post 3 videos on TikTok, and I have 100,000 followers. Imagine that you are a beauty influencer that just got your first brand deal with Loreal. Negotiate your terms, rates, and your content deliverables with the client in email format. Use Headers and bullet points to organize the information. ![ChatGPT prompt for influencer brand deal negotiation ](https://cdn.hackernoon.com/images/VWQsiHBeEtbDEwwLOtv5m67Gmc32-01h3pw1.png) Hope this was helpful, let me know if you have any tips on using ChatGPT more efficiently. Referenced: Metanshi Blog Tryinteract Eternitymarketing Farah Hairi About The Nimble Novice is a passion project where I document my learnings about everything and anything. I am a content strategist/ designer, writer, and lifelong learner. I have many interests, but I mostly write about freelancing, productivity, digital marketing, crypto/blockchain, and occasionally, pop culture. | | | Linkedin Twitter Work with me Lemon8 Also published here

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