Sarika Pandey’s Post

1. Three scientists, including two from Google DeepMind, won the 2024 Nobel Prize in Chemistry for advancements in protein structure prediction and design. 2. Demis Hassabis and John Jumper from DeepMind contributed to the AlphaFold model, transforming protein understanding. 3. Professor David Baker received the other half of the prize for his work in computational protein design, creating new proteins with medical and technological applications. 4. The prize highlights the impact of AI and computational methods on modern science, with a shared award of 11 million Swedish kronor. 5. Hassabis expressed the honor of receiving the Nobel Prize, emphasizing the societal benefits of AI. 6. Baker shared his 20-year journey in creating new proteins, including novel vaccines for coronavirus. 7. The Nobel committee recognized the significance of predicting protein structures and creating new proteins, addressing challenges in medicine and materials science. 8. AlphaFold 2 has enabled the prediction of almost all known proteins, utilized by over 2 million researchers worldwide for various scientific applications.

1/ The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to three researchers who have made important advances in deciphering and designing protein structures. 2/ David Baker from the University of Washington receives one half of the prize for his work in the computer design of proteins. The other half is shared by Demis Hassabis and John Jumper from Google DeepMind for the development of the AlphaFold AI system for predicting protein structures. 3/ AlphaFold 2 uses an AI mechanism known as "Attention" and takes into account evolutionarily related sequences as well as physical and geometric constraints on protein folding. The prizewinners' discoveries enable a better understanding of biological processes and accelerate the development of new drugs. 👇 Read more #AIandscience

Congratulations to the 2024 Nobel prize in Chemistry has been awarded to David Baker, Demis Hassabis, and John Jumper for their work on understanding the structure of proteins. Hassabis and Jumper, of Google DeepMind, have developed an artificial intelligence that predicts the structure of proteins. Baker, at the University of Washington, has been recognised for his work on designing new proteins. See article below #nobelprize #chemistry #google #deepmind #proteins #ai #NextPhase

Google Scientists Win Nobel Prize in Chemistry, Marking a Milestone in AI's Evolution The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to Demis Hassabis and John Jumper of Google DeepMind, along with David Baker of the University of Washington. This prestigious award recognizes their groundbreaking work in using artificial intelligence (AI) to predict and design novel proteins. AI's Ascendancy in Scientific Discovery ➡️ This isn't just a win for Google or DeepMind; it's a landmark moment for the entire field of AI. It demonstrates the transformative power of AI in pushing the boundaries of scientific discovery and addressing some of humanity's most pressing challenges. ➡️ Pioneering the Future of Medicine and Beyond The laureates' work has the potential to revolutionize medicine, materials science, and numerous other fields. By enabling the accurate prediction and design of protein structures, their AI models are paving the way for the development of new drugs, therapies, and materials with unprecedented precision and efficiency. 💡 A Journey of Innovation and Collaboration This Nobel Prize is a testament to the dedication, ingenuity, and collaborative spirit of these brilliant scientists. It also highlights the crucial role of interdisciplinary research in driving innovation and pushing the frontiers of knowledge. ✅ The Future of AI is Bright As AI continues to evolve and mature, we can expect even more groundbreaking discoveries and applications in the years to come. This Nobel Prize serves as an inspiration and a reminder of the immense potential of AI to shape a better future for all. ❕ With Great Power Comes Great Responsibility While the win is a significant milestone, it also comes with a great responsibility. As AI becomes more powerful and integrated into our lives, it's crucial to ensure its responsible development and use. This includes addressing ethical concerns, mitigating potential biases, and establishing clear boundaries for its application. #AI #NobelPrize #Chemistry #GoogleDeepMind #Innovation #Science #Technology #FutureOfWork #ResponsibleAI #Ethics #Boundaries https://lnkd.in/dkCrU8TM

Some interesting articles offering general reviews and comments on the recent Nobel-winning AI-based science: https://lnkd.in/g-5iNKnQ https://lnkd.in/eP-JWVBk https://lnkd.in/eW4jxNu2 #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Some interesting articles offering general reviews and comments on the recent Nobel-winning AI-based science: https://lnkd.in/g-5iNKnQ https://lnkd.in/eP-JWVBk https://lnkd.in/eW4jxNu2 #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

This Nobel Prize year showed that you can give an award to a scientist for amazing work even before retirement age and even if they are outside university. It also showed that the committee could provide an award for outstanding work even if it does not fully fit a discipline. Now come several questions: 1) Where is the Nobel Prize for "Attention Is All You Need" for Ashish Vaswani and possibly other co-authors/predecessors (Bahdanau Dzmitry)? Without the attention mechanism and transformers, there would be no AI boom, no LLMs and no AlphaFold (current Chemistry Nobel). Yes, AlphaFold uses 48 Evoformer attention-based blocks. We would be stuck with LSTMs that have vanishing gradients and enormous training time (lack of parallelization). 2) Where is the Nobel Prize for NGS? Without large-scale -OMICs data, no AlphaFold would have existed either, genetic and epigenetic (current Medicine Nobel) research would be in the Stone Age, no precision medicine would be possible, and we would have been paying 2.7 billion USD for a single genome assembly (see Human Genome Project). Hopefully, this will be solved in the future 🤞

Googlers awarded the 2024 Nobel Prize in Chemistry! "The award recognizes the invention of an AI model called AlphaFold 2. which has been able to predict the structure of virtually all the 200 million proteins that researchers have identified till date! This breakthrough has significant implications for various fields, including Medicine, Bioengineering, Disease research and many others! More Importantly, AlphaFold’s predictions are made freely available which helped more than 2 million scientists and researchers from 190 countries for making new discoveries and improving the world" Talk about a win for science!"

Another Nobel Prize for #AI Demis Hassabis and John Jumper, both with Google DeepMind, today received the #Nobel Prize for chemistry. They are awarded for their work on AlphaFold: https://lnkd.in/ewvm5MbS #AlphaFold predicts the 3D structure of proteins based on their amino acid sequences. It represents a major breakthrough in computational biology, specifically in the field of protein structure prediction. AlphaFold has established itself as an essential tool in chemistry and structural #biology. Also awarded with the Nobel Prize in #chemistry is David Baker, for his contributions to computational protein design. I think it is no longer justified to claim that AI is just hype. #nobelprice #machinelearning #nobelprize

The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry. Half of the prize goes to David Baker for his pioneering work in computational protein design, while the other half is jointly awarded to Demis Hassabis and John M. Jumper for their advancements in predicting protein structures. Baker has successfully engineered entirely new proteins, while Hassabis and Jumper's AI model, AlphaFold2, has revolutionized the prediction of protein structures, solving a decades-old scientific challenge. Proteins are essential to life, facilitating vital chemical reactions and serving multiple roles in biological processes. These groundbreaking discoveries hold great potential for various applications in science and medicine, ultimately benefiting humanity. #nobel2024 #NobelPrize #nobelprizewinner #nobelprizelaureate #nobelprize #nobelprizewinner #nobelprize #nobelchemistry #chemistry #artificialintelligencetechnology #artificialintelligenceai #artificialintelligence #airesearch #ai #esromagica