Over the past year, veteran software engineer Jay Prakash Thakur has spent his nights and weekends prototyping AI agents that could, in the near future, order meals and engineer mobile apps almost entirely on their own. His agents, while surprisingly capable, have also exposed new legal questions that await companies trying to capitalize on Silicon Valley's hottest new technology. Agents are AI programs that can act mostly independently, allowing companies to automate tasks such as answering customer questions or paying invoices. While ChatGPT and similar chatbots can draft emails or analyze bills upon request, Microsoft and other tech giants expect that agents will tackle more complex functions--and most importantly, do it with little human oversight. The tech industry's most ambitious plans involve multi-agent systems, with dozens of agents someday teaming up to replace entire workforces.

The recent outbreak of the MPox virus has resulted in a tremendous increase in the usage of Twitter. Prior works in this area of research have primarily focused on the sentiment analysis and content analysis of these Tweets, and the few works that have focused on topic modeling have multiple limitations. This paper aims to address this research gap and makes two scientific contributions to this field. First, it presents the results of performing Topic Modeling on 601,432 Tweets about the 2022 Mpox outbreak that were posted on Twitter between 7 May 2022 and 3 March 2023. The results indicate that the conversations on Twitter related to Mpox during this time range may be broadly categorized into four distinct themes - Views and Perspectives about Mpox, Updates on Cases and Investigations about Mpox, Mpox and the LGBTQIA+ Community, and Mpox and COVID-19. Second, the paper presents the findings from the analysis of these Tweets. The results show that the theme that was most popular on Twitter (in terms of the number of Tweets posted) during this time range was Views and Perspectives about Mpox. This was followed by the theme of Mpox and the LGBTQIA+ Community, which was followed by the themes of Mpox and COVID-19 and Updates on Cases and Investigations about Mpox, respectively. Finally, a comparison with related studies in this area of research is also presented to highlight the novelty and significance of this research work.

Grand master Viswanathan Anand and sports minister Anurag Thakur were Times of India's guest editor on Saturday, 18th June. Sports guest editors Viswanathan Anand and Anurag Thakur talk to TOI about the game-changing dynamics of the Chess Olympiad... Viswanathan Anand has decided to don a new hat. The five-time world chess champion, who is still an active p layer at 52 and has defeated the world's top player, Magnus Carlsen, twice recently, will contest for the post of deputy president in the FIDE (world chess body) elections. He is also the face of the Chess Olympiad, which will be held in India for the very first time, in Chennai in July-August this year. Anand, looking relaxed in a light summer coat, joined sports minister Anurag Thakur during an interaction with TOI in the Capital on Saturday. The two Guest Sports Editors talked about the way ahead for chess, plans to popularise the sport at the grassroots level and stage more international tournaments to give aspiring youngsters exposure to top-quality chess. Excerpts from the interaction... India is hosting such a big chess event for the first time since the Anand versus Carlsen battle in 2003.

Satara: Rayat Shikshan Sanstha has kept the tradition of recognizing the steps of time and moving forward. Considering the continued use of Artificial Intelligence around the world and the manpower required for it, Rayat Shikshan Sanstha is expected to launch a separate course on Artificial Intelligence in his engineering colleges. At this time, Pawar said, Rayat Shikshan Sanstha is credited with being an important factor in uplifting the common man by giving him education. Recognizing the footsteps of the time, Rayat has done an admirable job nationally in adopting new courses. Thakur's generosity in donating over Rs 70 million is unmatched.

There are a growing number of works out there addressing how to approach machine learning problems, many of them quite good. But how many of them are written by a 4x Kaggle Grandmaster? Abhishek Thakur, the 4x Grandmaster in question -- who now works on NLP at Hugging Face -- wrote and released his book Approaching (Almost) Any Machine Learning Problem (AAAMLP) last year. The book can be purchased through Amazon for a very reasonable price, much more so than most other books of similar content. Additionally, however, Abhishek has recently released the entirety of the book online for free, available in PDF via its Github repo.

However, for a beginner, to know about the tool stack of those who win Kaggle competitions consistently is of great help. One can later go ahead and pick the tool of their choice. In the next section, we look at the top tools, frameworks, cloud services, libraries used by the Kaggle masters and Grand Masters, which they revealed to us in our exclusive interviews. That said, we have to admit that all these top Kagglers are of the opinion that one should not fall in love with tools, and it is all right as long any tools get the job done right! When it comes to favourite Python libraries, Thakur is in praise for Scikit-learn and how significant this library is in providing many necessary components to put a model into production.

However, for a beginner, to know about the tool stack of those who win Kaggle competitions consistently is of great help. One can later go ahead and pick the tool of their choice. In the next section, we look at the top tools, frameworks, cloud services, libraries used by the Kaggle masters and Grand Masters, which they revealed to us in our exclusive interviews. That said, we have to admit that all these top Kagglers are of the opinion that one should not fall in love with tools, and it is all right as long any tools get the job done right! When it comes to favourite Python libraries, Thakur is in praise for Scikit-learn and how significant this library is in providing many necessary components to put a model into production.

When he was a young man, the English video-game designer Peter Molyneux programmed a pixel to slide across the screen of his Acorn Atom computer. He described the thrill as being "as close to sexual satisfaction as you could possibly get." The feeling was shared, seemingly, by many youths in the Britain of the early nineteen-eighties, when there was little economic opportunity for the working class. Before the industrialization of video games--the great American software factories and their nameless workers--these teens staged a quiet revolution from their bedrooms, designing games on home microprocessors. Those who managed to place their games into high-street retailers, such as WHSmith, became rich.

It has been my experience that whenever a new craze appears in the field of information technology (IT), the industry begins to have varying levels of flirtation with the concept, and each firm's executives try to best other firms by jumping on the bandwagon and then proceeding to make wide-ranging pronouncements about how they are using the new craze to transform their industry. Just a few years ago, the craze was to have a global delivery centre in India, either through an outsourcing relationship with an IT service provider or by tapping directly into the technology labour pool in India. This was starkly obvious to me when we hosted more than one Western client at an industry or service provider event--the first metrics they gauged each other by while sizing up where each stood on the totem pole were usually: "number of people in India" and "number of trips taken to India". Today, this chatter has moved on to topics around automation, artificial intelligence (AI), machine learning (ML), deep learning (DL) and blockchain. The irony is that many of these disciplines are actually quite old, but they have only now become fashionable catchphrases.

The voice assistant is one of a number of Google products that will provide user data to the curation service that the company is launching Wednesday. The voice assistant is one of a number of Google products that will provide user data to the curation service that the company is launching Wednesday. There's a good chance you're hungry for information you didn't even know you wanted, but Google knows -- and the tech giant is going to spoon-feed it to you. Google is following in Facebook's footsteps, with plans to redesign its popular search page on mobile phones so that you'll get something similar to the social media site's News Feed. Only Google's will just be called "feed."