Automated pose correction remains a significant challenge in AI-driven fitness systems, despite extensive research in activity recognition. This work presents PosePilot, a novel system that integrates pose recognition with real-time personalized corrective feedback, overcoming the limitations of traditional fitness solutions. Using Yoga, a discipline requiring precise spatio-temporal alignment as a case study, we demonstrate PosePilot's ability to analyze complex physical movements. Designed for deployment on edge devices, PosePilot can be extended to various at-home and outdoor exercises. We employ a Vanilla LSTM, allowing the system to capture temporal dependencies for pose recognition. Additionally, a BiLSTM with multi-head Attention enhances the model's ability to process motion contexts, selectively focusing on key limb angles for accurate error detection while maintaining computational efficiency. As part of this work, we introduce a high-quality video dataset used for evaluating our models. Most importantly, PosePilot provides instant corrective feedback at every stage of a movement, ensuring precise posture adjustments throughout the exercise routine. The proposed approach 1) performs automatic human posture recognition, 2) provides personalized posture correction feedback at each instant which is crucial in Yoga, and 3) offers a lightweight and robust posture correction model feasible for deploying on edge devices in real-world environments.

It's not that hard to say my name, Saahil Desai. Saahil: rhymes with sawmill, or at least that gets you 90 percent there. Desai: like decide with the last bit chopped off. More often than not, however, my name gets butchered into a menagerie of gaffes and blunders. The most common one, Sa-heel, is at least an honest attempt--unlike its mutant twin, a monosyllabic mess that comes out sounding like seal.

You may soon be able to catch up with friends and relatives who have passed away -- on your computer. Dr. Pratik Desai, a Silicon Valley computer scientist who has founded multiple Artificial Intelligence platforms, boldly predicts that a human being's "consciousness" could be uploaded onto digital devices by the end of the year. "Start regularly recording your parents, elders and loved ones," he urged Friday in a Twitter thread that's since racked up more 5.7 million views and tens of thousands of responses. "With enough transcript data, new voice synthesis and video models, there is a 100% chance that they will live with you forever after leaving physical body," Desai continued. "This should be even possible by end of the year."

A computer scientist is urging the world to record their elderly parents and loved ones as he predicts consciousness could be uploaded onto a computer this year. Dr Pratik Desai, who has founded multiple Silicon Valley AI startups, said that if people have enough video and voice recorders of their loved ones, there is a '100 percent chance' of relatives'living with you forever.' Desai, who has created his own ChatGPT-like system, wrote on Twitter: 'This should be even possible by end of the year.' Many scientists believe the rapid advancements in AI, which ChatGPT is spearheading, are poised to usher in a new golden era for technology. However, the world's greatest minds are split on the technology - Elon Musk and more than 1,000 tech leaders are calling for a pause, warning it could destroy humanity. On the other side are other experts, like Bill Gates, who believe AI will improve our lives - and it seems other experts are on board with the idea it will help us live on forever.

On Wednesday, MetaAI and Papers with Code announced the release of Galactica, an open-source large language model trained on scientific knowledge, with 120 billion parameters. However, just days after its launch, Meta took Galactica down. Interestingly, every result generated by Galactica came with the warning- Outputs may be unreliable. Language Models are prone to hallucinate text. "Galactica is trained on a large and curated corpus of humanity's scientific knowledge. This includes over 48 million papers, textbooks and lecture notes, millions of compounds and proteins, scientific websites, encyclopedias and more," the paper said.

We present a corpus and approach to deduce the difficulty of questions asked in a reading comprehension test. A feature-driven model is designed that associates each question with a difficulty level. This would eliminate the laborious task of manually annotating questions in a computerized testing environment. Experiments performed on our corpus show that our model can classify questions with a micro F-score of 0.68.

Snafu's investor ABBA is looking for sounds from India. ABBA is a Swedish pop group that has anticipated its first album, Voyage, in 40 years. It will be streaming on the air on November 5. But before the release, the legendary comeback band sprinkled stardust on Snafu Records, a music label headed by an Indian. Snafu has introduced a new approach to search for music talent. Agnetha Fältskog, the ABBA singer, has joined a $6 million funding round for AI-powered record label Snafu records.

Today, in the COVID-19 World, working from home has become an accepted corporate culture, giving rise to security challenges across industries. Enterprises are waking up to the importance of cybersecurity, with rising demand for cybersecurity services among businesses. With such a massive need for cybersecurity, many startups are working towards bringing artificial intelligence into the field and securing companies with their endpoint security. Sequretek is one such company that is known among the circles to use unconventional ways to detect security breaches and using AI to spot an attack from miles away and stop it before it can cause any real damage. Started in 2013 by Pankit Desai and Anand Naik, Sequretek is built on the foundation of'simplifying security' -- less complexity and driving down the cost of ownership.

ServiceNow today announced the latest release of its workflow automation platform. With this, the company is emphasizing a number of new solutions for specific verticals, including for telcos and financial services organizations. This focus on verticals extends the company's previous efforts to branch out beyond the core IT management capabilities that defined its business during its early years. The company is also adding new features for making companies more resilient in the face of crises, as well as new machine learning-based tools. Dubbed the'Paris' release, this update also marks one of the first major releases for the company since former SAP CEO Bill McDermott became its president and CEO last November.

When San Francisco went into COVID-19 lockdown on March 17, the last thing 32-year-old tech entrepreneur Niket Desai had to worry about was staying fit. His regular spot, Barry's, would be closed indefinitely, but Desai had installed the Tempo Studio, an all-in-one home fitness device designed to turn 30 square feet of your living room into an artificial- intelligence-powered micro gym. Tempo is a six-foot-tall weight cabinet (weights included!) While similar devices, like Tonal, offer digital resistance training at home, Tempo is the first one to deploy 3D movement analysis, combined with machine learning and AI to improve your form and curate your workouts. Its screen streams more than 200 live and on-demand classes, from a ten-minute high-intensity workout to an hour of mobility training, while its motion sensors and AI isolate up to 25 different joints at 30 frames per second.