a16z Bio + Health’s Post

AI revolution is coming fast.. 🚀 2 interesting takeaways from this great conversation I wanted to share with my network: - Unlike the common belief these days, people don’t have to learn programming as they all become technologists thanks to upcoming AI applications - AI will also turn life-sciences into life-engineering, and digital biology will likely to become a field of engineering rather than a pure scientific discovery #AI #biotech #medtech #engineering https://lnkd.in/gWzh7cPi

🌐 Revolutionizing Material Discovery with AI: The Game-Changing GNoME 🚀 I remember more than a decade ago, our brightest material scientists at Intel Corporation spending a long time with experiments to come up with the right materials that enabled a breakthrough to move from 2D to 3D transistors (aka FinFET technology). Enter Google DeepMind! It's latest innovation, GNoME, is a groundbreaking AI tool set to revolutionize materials science. Mimicking the transformative impact of AlphaFold in biology, GNoME uses deep learning to predict structures for over 2.2 million new materials. With more than 700 materials already created in labs, this tool is redefining speed and efficiency in material discovery. 🤖 In a synergistic collaboration, Berkeley Lab's A-Lab, an autonomous laboratory, harnesses GNoME's findings. It integrates robotics and machine learning to synthesize these materials, propelling forward industries like energy and computing. 💡 One of the most promising applications? Developing more efficient lithium-ion battery conductors, a critical component for clean energy solutions. 🤔 What are your thoughts on AI's expanding role in scientific research and innovation? #AI #MachineLearning #DeepMind #MaterialScience #AIInnovation Lila Ibrahim Thomas Marieb Pat Gelsinger

[Blockbuster episode] - The fourth episode of "Leading with Data" had Anima Anandkumar, Sr. Director of AI Research at NVIDIA and Bren Professor at Caltech. There was so much to learn from her experience and work! Her work developing novel artificial intelligence algorithms enables and accelerates scientific applications of AI. She has received best paper awards at venues such as NeurIPS and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. She is a fellow of the ACM, IEEE, and Alfred. P. Sloan Foundation and is part of the World Economic Forum's Expert Network. Here are some takeaways I had from the discussion: - Immense potential of AI in solving Scientific problems. The solution sits in creating hybrid approaches. Anima and her team are doing some groundbreaking work here. - Minedojo - which also won the best NeurIPS Paper award in 2022 feels like an ImageNet moment for data-driven decision-making. - Advice for Budding researchers on how to build their career. #AIforscience #generativeai Watch full video here: https://lnkd.in/dj9-yhbG

In 2023 we've flown all over California; Vancouver, B.C.; Paris, France; and now Boston, MA! We've encountered the brightest in machine learning, and can't wait to meet YOU here at the AI Accelerator Institute Computer Vision Summit. Let us know if you're coming! #computervision #CV #AIAI #AI

The Department of Electronics and Communication Engineering, KLS GIT in partnership with DocketRun Tech, Hubballi, presents a special session on 6th & 7th September 2023, starting at 10.15 AM at Sir M V Hall, KLS GIT. Join us as Mr. Ajay Kabadi, CEO of DocketRun Tech, Hubballi, dives deep into the world of Generative AI and conversational AI tools. An invaluable opportunity for faculty members to learn and implement these tools in their academic and research endeavors. Enhance your research capabilities with AI insights! Save the date and be there! #docketruntech #AIinResearch #GenerativeAI #ConversationalAI

🌟 Exciting News from the World of AI and Material Science! 🌟 In an era where the power and potential of artificial intelligence are more evident than ever, Google DeepMind has made a monumental breakthrough that's set to revolutionize material science. 🔍 Introducing GNoME (Graphical Networks for Material Exploration), a groundbreaking AI tool by Google DeepMind, developed in collaboration with Lawrence Berkeley National Laboratory. GNoME has astoundingly predicted structures for over 2.2 million new materials, out of which more than 700 have advanced beyond initial stages. This is not just a step but a giant leap in AI-driven discovery, potentially transforming industries from renewable energy to high-tech manufacturing. 🌐 Nearly 400,000 of these new compounds have been added to the Materials Project database, marking a significant contribution to the field. Published in the prestigious journal Nature, these findings underscore the transformative role of AI in scientific innovation. 💡 The implications are vast. From enhancing solar cells and batteries to advancing computer chips, the materials discovered by GNoME could redefine technological boundaries. This is AI not just mimicking human capabilities, but extending the horizons of what's possible. 🤖 Amidst the buzz surrounding AI advancements and ethical debates – highlighted recently by developments at OpenAI – GNoME stands as a testament to the collaborative and positive impact AI can have on science and technology. It's a reminder that AI, when aligned with human ingenuity and ethical considerations, can unearth solutions and possibilities far beyond our current scope. 🌍 As we look towards a future where AI plays a central role in tackling complex challenges, Google DeepMind's GNoME offers a glimpse into the extraordinary potential of AI to propel us into a new era of discovery and innovation. #AIMaterialScience #GoogleDeepMind #GNoME #Innovation #FutureTech #AIRevolution

If you're an AI enthusiast, you've probably already heard about AlphaFold, the revolutionary protein folding model from Google DeepMind... New information about the third version is now available. Our Artificial Intelligence Center Hamburg (ARIC) Life Science team, Dr. Felix Tobola and Natalie Rotermund, have provided us with the key details, which we share with you in the slides. In essence: When it comes to protein folding, it's not just hype to talk about an AI revolution; it's reality. The opportunities for science and medicine are really groundbreaking! What do you think about AlphaFold3? 🤖 #artificialintelligence #kuenstlicheintelligenz #alphafold #AIinLifeSciences

From EV batteries to solar cells to microchips, groundbreaking technologies rely on innovative materials. Yet, traditional methods of discovery are often slow and laborious. Enter Google DeepMind's game-changing tool: GNoME. Using deep learning, it accelerates the exploration of new materials, predicting structures for millions within a fraction of the time. In partnership with Lawrence Berkeley National Lab's autonomous A-Lab, this AI-driven approach heralds a new era of efficiency. By integrating machine learning and robotics, it streamlines the development process, rapidly bringing new materials from concept to creation. The impact is monumental. Not only does it expand our material repertoire, but it also fuels advancements in clean energy, computing, and beyond. With over 700 lab-created materials already in testing, the potential for transformative innovation is limitless. Bruno Heese, Bernd Stopper, Bernd Wagner, Eva Geckeis, PhD, Simon Aldous, Thorsten Koch https://lnkd.in/gpVXcMi7 #AI #MaterialScience #Innovation #Google

Very pleased to share that Google DeepMind and Isomorphic Labs have further triggered a breakthrough for #LifeSciences with the development of the AlphaFold 3 AI model. Looking at this from an #AI perspective, it's an astounding stride towards perceiving the marvellous complexity of Life fundamentally at the molecular level. • Drawing upon proteins, DNA, and other molecules, this innovative model makes it feasible to explore their interaction across millions of types of combinations. The ingenious approach of enabling interactions at such minute levels promises to revolutionize the understanding and manipulation of biological processes. Considering the future implications, I firmly believe that- 1. Healthcare: Advancements such as these make way for more precise medical interventions and breakthroughs in developing new ambitious therapies or medications. 2. Research: From a research perspective, this detailed understanding can boost our endeavours in unravelling the intricacies of life, thus opening avenues for innumerable possibilities. Hats off to the #AI forces, Google DeepMind and Isomorphic Labs, making such quantum leaps on our quest to comprehend life better. The AlphaFold 3 AI model doesn't only heralds a new era of comprehension but also our sense of wonder and fascination towards life's mystiques. Stay tuned. The transformation with AI redefining the landscape of biological comprehension is only just beginning! Here's to crossing new frontiers in the synergy of biology and AI. Big wins, profound impacts! #AI #DeepLearning #Medtech #Biology #LifeSciences

🚀✨ Breakthrough in Materials Discovery! 🧪💡 DeepMind's revolutionary AI tool, GNoME, has shaken up the world of materials science! 🌐🔬 Imagine uncovering 2.2 million new crystals, equivalent to nearly 800 years of knowledge, in the blink of an eye! 🤯 In a Nature publication, Deepmind revealed the power of Graph Networks for Materials Exploration (GNoME), their cutting-edge deep learning tool. 🔍 GNoME has turbocharged the discovery process, predicting the stability of new materials at an unprecedented scale. Of the 2.2 million predictions, 380,000 are the cream of the crop – the most stable candidates for experimental synthesis! 🌈 From superconductors to next-gen batteries, these materials could pave the way for the technologies of tomorrow. 🔗 GNoME's impact doesn't stop there! External researchers worldwide have independently created 736 of these newly discovered structures, and in collaboration with Google DeepMind, Lawrence Berkeley National Lab demonstrates how AI predictions can drive autonomous material synthesis (🖼️image from the post) - https://lnkd.in/gr7HSVMQ 🌐💼 🌐 Deepmind is not keeping this breakthrough to ourselves – they're contributing 380,000 predicted stable materials to the Materials Project, propelling research into inorganic crystals forward. 💎📈 💡 Why is GNoME a game-changer? Expands known stable materials to 421,000 from a previous 48,000. Discovers 52,000 new layered compounds, potentially revolutionizing electronics. Identifies 528 potential lithium-ion conductors, 25 times more than before. 🧠 How does GNoME work? Utilizes two pipelines for structural and compositional discovery. Leverages state-of-the-art graph neural networks (GNN) model. This is the same type of architecture that was used during the spectacular success of AlphaFold! 🧬 It was trained on crystal structure data from the Materials Project, enhancing prediction accuracy through active learning. 📖 Read more here - https://lnkd.in/g62GrQsi 🌟 Let's applaud the intersection of AI and materials science, shaping a sustainable future! 🌐💚 What exciting possibilities do you envision with GNoME's crystal discoveries? Share your thoughts! #AI #MaterialsScience #Innovation #DeepMindGNoME 🚀🔬