Another exciting breakthrough in quantum science! A team of researchers from Rice University, led by Professor Qimiao Si have uncovered a quantum critical metal that exhibits unique properties at microscopic levels. This amazing newfound element can help enhance energy transfer & conductivity via electronic devices that carry sensors & require smaller form factors. Basically, this is great news for medical diagnostics - where detecting the smallest changes in magnetic fields could lead to earlier, life saving diagnoses. With extreme advancements like this, the potential for QuanMed AI research will expand dramatically, once again opening up limitless possibilities to improve global healthcare!
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🚀 Exciting Breakthrough Alert! Neuralink has achieved a monumental milestone, successfully implanting a brain-computer interface in a volunteer, enabling mind-controlled interactions with technology. This innovation opens new horizons for medical science, promising enhanced human capabilities and a future where technology and biology merge seamlessly. Discover the full story of this groundbreaking development and its implications for our society. Full article in the first comment. #Neuralink #BrainComputerInterface #Innovation #FutureTech
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Professional Black Sheep | AI-enhanced Human | Human-in-the-loop | Gamer since 1992 | Curiosity Maximalist | Outspoken Technofuturist | Neogeneralist | Biohacker | #momtoo
𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: 𝐀 𝐋𝐞𝐚𝐩 𝐓𝐨𝐰𝐚𝐫𝐝𝐬 𝐅𝐮𝐭𝐮𝐫𝐞 𝐁𝐢𝐨-𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 Scientists have achieved a remarkable milestone by 𝘮𝘦𝘳𝘨𝘪𝘯𝘨 𝘩𝘶𝘮𝘢𝘯 𝘣𝘳𝘢𝘪𝘯 𝘤𝘦𝘭𝘭𝘴 𝘸𝘪𝘵𝘩 𝘢 𝘤𝘩𝘪𝘱, creating a 𝘩𝘺𝘣𝘳𝘪𝘥 𝘣𝘪𝘰-𝘤𝘰𝘮𝘱𝘶𝘵𝘦𝘳 capable of speech recognition. This innovation, #Brainoware , opens new horizons for computing, offering a glimpse into a future where biological and electronic components merge for enhanced processing capabilities with lower energy requirements. The potential implications for technology and neuroscience are vast, yet the journey ahead poses significant challenges in refining this symbiosis. #BioComputing #Innovation #TechnologyTrends #FutureOfComputing #AI For more insights check the link in the comments.
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#RoboChem: Amsterdam-based, first-of-a-kind robot uses AI to speed up chemical research. 🤖👨🔬 The Noël Research Group has developed a robotic platform that collects and mixes the starting materials, lets the reaction run in flow, and analyzes the results with NMR. An integrated AI system optimizes the reaction conditions to achieve the best yield. Their results have been now published in the journal Science. ⚗ 🗣 Prof. Timothy Noel: "RoboChem has shown results that I would not have been able to predict." and "In a week, we can optimise the synthesis of about ten to twenty molecules. This would take a PhD student several months." We are proud that during the #ChemAI lab tours, our attendees could have a direct demonstration of this robot at work! 🔗 Read more: https://lnkd.in/dcxwa4qH 🔗 Publication: DOI: 10.1126/science.adj1817 UvA Van 't Hoff Institute for Molecular Sciences (University of Amsterdam)
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A recent study conducted by scientists from University of Washington introduces advancements in the computational design of serine hydrolases using AI-driven methods. The research leverages RFdiffusion to scaffold active sites and assess enzyme compatibility across reaction coordinates. By combining deep learning for protein-small molecule complex prediction with structural modeling of catalytic intermediates, the study showcases the potential to design enzymes from scratch with enhanced preorganization and functional interactions, leading to improved success rates in in silico and experimental tasks.. Read preprint: https://lnkd.in/gYzmj7BJ #AI #ProteinStructure #DrugDiscovery #MolecularDynamics #DeepLearning #Biotech #Innovation #Bioinformatics
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Join #Nvidia CEO #JensenHuang as he delves into the groundbreaking field of protein engineering. In this insightful video, Huang discusses how advanced computing and AI are revolutionizing the way we understand and manipulate proteins. Discover the potential applications of protein engineering in medicine, biotechnology, and beyond, and learn how Nvidia's innovations are driving this exciting frontier in science. To never miss any AI update, subscribe to our free AI newsletter read by 63K+ readers!!- https://lnkd.in/d5UrNVtT video source: Columbia Business #ProteinEngineering #Biotechnology #AIinBiotech #AdvancedComputing #FutureOfScience #MedicalInnovation #TechInBiology #BiotechRevolution #aiforhealthcare #aiformedicine #aiforgood #ainews #aidevelopments #ainewsletter #aiupdates
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I've recently read a fascinating article published on February 1st, 2024, in Cell, titled "Enabling Structure-Based Drug Discovery Utilizing Predicted Models." This research showcases a novel approach to validate AI predictions of protein-drug structures with a physics-based method. The authors have brilliantly demonstrated the use of Free Energy Perturbation (FEP) calculations as a robust tool for selecting accurate protein-drug structure models. The underlying principle is intriguing: FEP's sensitivity to the model's accuracy means it will not align with experimental data (whether functional or binding affinity measurements) unless the model closely mirrors reality. It's inspiring to see how AI and physics-based methods can complement each otheri to open new avenues for treating diseases with precision and speed. #drugdiscovery #artificialintelligence #physics
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With recent advances in imaging, genomics and other technologies, the life sciences are awash in data. If a biologist is studying cells taken from the brain tissue of Alzheimer’s patients, for example, there could be any number of characteristics they want to investigate — a cell’s type, the genes it’s expressing, its location within the tissue, or more. However, while cells can now be probed experimentally using different kinds of measurements simultaneously, when it comes to analyzing the data, scientists usually can only work with one type of measurement at a time.Working with “multimodal” data, as it’s called, requires new computational tools, which is where Xinyi Zhang comes in.The ...
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Are We Ready for Living Computers? Imagine a world where computers are not merely machines, but living entities that evolve and learn like us. This is the fascinating frontier of biocomputing, where synthetic biology meets technology to create computer systems from living biological matter. One pioneering company in this space is FinalSpark, which has introduced its revolutionary "Neuroplatform"—a computer powered by human-brain organoids that researchers can now rent online ($500/month). The potential of biocomputing is staggering. It promises a more sustainable path for artificial intelligence, drastically reducing energy consumption compared to traditional silicon-based systems. "Our principal goal is artificial intelligence for 100,000 times less energy" says Fred Jordan. The pressing question arises: What are the ethical implications of using living cells in computing? Are we prepared to navigate the responsibilities that come with integrating life into our computing processes? You can watch them in action live streamed 24/7 - https://lnkd.in/eTi8ATKy #ai #ethicalai
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