| | | | Hello there! In this edition, your friendly AI Human, Amit Raja Naik, brings you the latest on AlphaFold 3—a protein prediction model recently released by Google DeepMind and Isomorphic Labs, which is set to revolutionise biology and drug discovery like never before. |
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| A few days ago, Google DeepMind, alongside Isomorphic Labs–a commercial drug discovery venture of Alphabet–released AlphaFold 3. This latest AI model is said to have achieved a 50% improvement in predicting intersections between proteins and other molecules over existing methods. “The holy grail for drug discovery is not just knowing the protein structure, which is what AlphaFold 2 did, but actually designing drug compounds called ligands that bind to the protein surface,” shared Google DeepMind chief Demis Hassabis, in one of the most engaging interactions with Bloomberg's Tom Mackenzie. |
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| | | Building multi-$100 billion business |
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“I hope to achieve both (commercial success and societal benefits) with Isomorphic and build a multi-100 billion dollar business. I think it has that potential,” said Hassabis, saying that he expects AI-designed drugs to be available in the ‘next couple of years’ and how this could solve ‘hundreds of terrible diseases.’ The company recently announced key partnerships with two of the world’s largest pharmaceutical companies — Eli Lilly & Co. and Novartis AG. The deals are said to have a combined value of close to $3 billion. |
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| | | Despite its high initial costsand energy demands, Hassabis believes that AI has the potential across multiple critical sectors, ultimately providing net benefits to society. “The benefits of the generative AI models that we build, such as drug discovery and other stuff, are going to far outweigh these costs,” he added, saying it will increase the efficiency of power grids and invent new materials and technologies—including “clean technologies, things like helping with fusion.” Further, he said it can be applied to many of these areas and be extraordinarily productive. “And far outweigh the costs and efforts involved in building these so it can be sustainable,” said Hassabis. Along with AlphaFold 3, now available for non-commercial research purposes, AIM has curated a list of popular alternatives to AlphaFold, which form the basis of the drug discovery process and other important life science impacts. |
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| | | | | Besides the launch of AlphaFold 3, Google DeepMind and Isomorphic Labs have also unveiled the AlphaFold Server, an easy-to-use research tool where scientists can access most of its capabilities for free. Google DeepMind is in talks with over 50 domain experts and multiple third-party organisations to evaluate the model’s capabilities and potential risks. Also, it plans to expand its educational offerings around AlphaFold through collaborations with entities like EMBL-EBIand initiatives targeting scientists in developing regions. “This is a really interesting space that we can now get into,” said Hassabis, saying that AlphaFold 3 is set to unfold new capabilities in biology, going beyond its initial scope of predicting protein structures to include a broader range of biomolecular interactions, specifically biologics and antibodies. “I wonder if the future looks something more like Universal Basic Compute than Universal Basic Income, and everybody gets like a slice of GPT-7 compute,” said Altman in the latest episode of the All-in podcast. |
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| | | | | 🌟 Exciting News! 🌟 Join us at WiDS Bangalore 2024, where data science innovation takes centre stage! 🚀Calling all enthusiasts to submit groundbreaking papers on AI applications in fintech, healthcare, business analytics, and more. Don't miss this chance to showcase your expertise to a global audience. Submit now and be part of the conversation! #WiDS2024 Learn more and register: [Link] 📌 |
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| Robotics will have ChatGPT moment soon |
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| | | Vinod Khoslarecently said that robotics will experience a ‘GPT moment’ within the next 2-5 years, transitioning from programmed systems to learning ones that grasp physical and real-world dynamics. Ironically, this shift is occurring faster than anticipated. Just days ago, NVIDIA researchers unveiled DrEureka, an LLM-powered agent that automates the simulation-to-reality pipeline, training a robot dog to balance on a yoga ball effortlessly without fine-tuning. Concurrently, Figure 01is making significant strides in visual reasoning. Meanwhile, Tesla's Optimus is being trained on the factory floor to sort batteries and perform similar tasks. |
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| | | 3AI Holding and SMLlaunched Hanooman,a multilingual GenAI app available in 12 Indian languages on the Play Store, supported by Yotta's GPU cloud and NASSCOM's initiative to boost AI startups and engage 3000 colleges. Bengaluru-based Cognitive Lab launchedTokenizer Arena on Hugging Face to benchmark and compare multiple AI models for Devanagari text tokenisation. BHASHINI launched the ‘Be our Sahyogi’ platform, inviting cross-sector collaborations to submit use cases for creating a multilingual India. |
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| | | | | | | Rakuten India, in partnership with AIM, is hosting the fourth edition of the Rakuten Product Conference (RPC) ‘24, a virtual event on May 21-22, focusing on Enterprise SaaS and AI for data scientists and innovators globally. |
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| Enjoying Sector 6 (formerly AIM Daily XO)? Share it with colleagues or friends – they can sign up here. We love hearing from our readers! Have thoughts on our new format? Questions, comments, or ideas are always welcome. If there’s a specific topic in AI or analytics that you're curious about, tell us! Reach out to us at info@analyticsindiamag.com. Stay tuned for more insights in our next edition!
Curated with ♥️ |
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