The future of AI is #green, #democratic, and #scientific - join us in Pittsburgh at the Third International Symposium on the Tsetlin Machine! https://lnkd.in/eXi_T-U9 The second keynote is by Dr. Dilip Vasudevan and Dr. Christoph Kirst from Lawrence Berkeley National Laboratory in California. The title of their talk is Super-conducting Tsetlin Machines and Neuromorphic Computing. Abstract: Current trends in foundational models of AI have unleashed new challenges in system design to handle new generative AI applications. These systems when scaled will lead to highly memory intensive and communication congesting challenges which current Von-Neumann architectures cannot handle efficiently, leading to highly energy consuming systems. Alternative paradigms in computing, logic, architectures and devices are needed to tackle this energy crisis. Superconducting logic based systems are one of the promising venues to develop new directions to lower the energy consumption by several orders of magnitude. In this presentation, we will take a look at recent new and promising computing paradigms developed using superconducting electronics (SCE) and their advantages towards energy efficiency and scalability. After introducing super-conducting technologies, we will present our new computing model called Super-Tsetlin, a Superconducting Tsetlin Machine designed using superconducting RSFQ technology and demonstrate some applications. We will then discuss the superconducting Temporal Design for a set of hard compute problems and their benefits. Finally, we will introduce innovative meromorphic computing frameworks for high-performance and energy efficient computations, including neuromorphic oscillator networks and their implementations and applications in superconducting technology. We will conclude with a future vision towards building energy efficient systems for foundational models for AI and neuromorphic computing paradigms. #byebyeblackboxes #logicalai #greenai #democraticai #scientificai #tsetlinmachine #istm2024 University of Agder (UiA) CAIR Centre for Artificial Intelligence Research Dilip Vasudevan Christoph Kirst
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🌟 I recently attended #GenAISummit2024, where I joined an inspiring panel discussion on "𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝘀: 𝗛𝗼𝘄 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀 𝗦𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆." The session was moderated by Andrew Mayne, founder of Interdimensional and former Science Communicator at OpenAI, and featured insights from Vijay Chandrasekhar, co-founder of Cosmos Innovation, a Stanford-educated AI leader. Here are some key takeaways: 🔹 𝘼𝙄 𝙛𝙤𝙧 𝙃𝙮𝙥𝙤𝙩𝙝𝙚𝙨𝙞𝙨 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙀𝙭𝙥𝙚𝙧𝙞𝙢𝙚𝙣𝙩 𝘿𝙚𝙨𝙞𝙜𝙣: Vijay highlighted how AI can revolutionize scientific research by analyzing thousands of research papers to generate new hypotheses. This approach helps researchers in fields like biology, chemistry, and semiconductors to accelerate discovery by exploring new ideas more efficiently. 🔹 𝙀𝙣𝙝𝙖𝙣𝙘𝙚𝙙 𝙀𝙭𝙥𝙚𝙧𝙞𝙢𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝘼𝙄: Traditional experiments often involve trial and error, but Vijay explained that AI can now conduct "multi-knob" experimentation, testing multiple variables simultaneously. This drastically reduces development time from years to months, making it particularly impactful in fields like materials science and semiconductor manufacturing. 🔹 𝘼𝙄-𝘿𝙧𝙞𝙫𝙚𝙣 𝙑𝙚𝙧𝙩𝙞𝙘𝙖𝙡 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣: Vijay shared Cosmos Innovation’s approach to capturing more value by moving from software solutions to building their own products, such as semiconductors. This shift demonstrates AI's transformative potential in the physical sciences, allowing companies to fully leverage AI innovations in product development. Generative AI is driving a new era of scientific discovery, breaking down barriers and accelerating innovation. Excited to see how AI continues to push the boundaries in research and development! #ScientificDiscovery #GenerativeAI #Innovation #AIResearch #GenAISummit #GenAI
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"It's as if we had a physics professor teaching physics to our generative AI. The AI invents drug candidates, and the professor tells it whether they are stupid or interesting, and if so to continue in that direction until we are satisfied enough with the molecules found by the #generativeAI to have them manufactured and then tested in the laboratory" explains Maximilien Levesque, our CEO & Cofounder. Building on a unique blend of theoretical physics and chemistry, we’re leveraging advanced technology to accelerate the development of breakthrough treatments. Curious about how a drug actually stops a disease? 💊 Check out the full Brut. video where Emmanuelle Martiano Rolland breaks it down ↘ https://lnkd.in/eAWZEBPT Thanks Tibor for visiting us and glad to share this vision of healthcare innovation with Bpifrance, whose support has been invaluable! #DrugDiscovery #AI #Physics #TechBio #Big10
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The Dawn of Digital Biology: Transforming Science into Engineering "For the first time in human history, biology has the opportunity to be engineering, not science. When something becomes engineering, not science, it becomes less sporadic and exponentially improving." - Jensen Huang Jensen Huang's insight illuminates the path ahead: digital biology stands poised to revolutionize our world. By melding biology with engineering principles, we're unlocking unprecedented predictability and exponential advancement. Imagine the implications for healthcare, agriculture, and beyond! Collaboration will be our catalyst, propelling us toward a future limited only by our imagination. Let's unite in embracing this transformative journey. Source: "Dean's Speaker Series | Jensen Huang Founder, President & CEO, NVIDIA" on YouTube #DigitalBiology #Innovation #JensenHuang #NVIDIA #AI #MachineLearning
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#Switzerland based startup named #FinalSpark has developed a unique “living computer” using 16 mini brains made from actual real human brain tissues, positioning it as an alternative to silicon-based computing. Researchers can remotely access this biocomputer, called #Neuroplatform, to study new AI aka #artificialintelligence, which typically require significant resources. According to FinalSpark’s scientist #EwelinaKurtys "The biological computing uses neurons that consume much less energy than digital processors". The startup aims to find untouched methods to bring advancements in biocomputer research, also to reduce greenhouse emissions and improve AI model generalization through this unique innovative approach. https://lnkd.in/g74q83sH
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How are AI and big data transforming the landscape of new materials? Join our virtual roundtable, Materials Design Guided by Computation, to find out: https://lnkd.in/einWVzkJ. Hear from experts Prof. Brian Rosen, Dr. Lee Burton, and Dr. Maxim Sokol of Tel Aviv University as they discuss their advances in materials science, AI, and big data. Discover how these technologies are revolutionizing materials design and prediction, from semiconductors to catalysts. Secure your spot today: https://lnkd.in/einWVzkJ #newmaterials #newmaterialsinnovation #innovation #ai #bigdata #newmaterialdesign #research #researchinnovation #roundtable
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Introducing NeuroCore: A New Era in Neuromorphic Computing At JSA LAABS, our goal has always been to create technology that transforms industries and opens new frontiers. NeuroCore is the embodiment of that vision—a neuromorphic AI accelerator chip designed to solve the most pressing challenges of today’s AI hardware landscape. With 96.78% accuracy on the MNIST dataset, we’ve already surpassed industry benchmarks set by leading solutions such as Intel Loihi and IBM TrueNorth. This is only the beginning. NeuroCore is engineered to drive energy-efficient, high-performance AI that redefines what’s possible across applications like autonomous systems, robotics, and real-time data processing. The architecture features neural cores and 65,536 synapses per core, optimized for minimal power consumption while maximizing computational output. This design mirrors the efficiency of biological neural networks, ensuring that the technology aligns with the future demands of sustainable and scalable AI solutions. Our vision is clear: To provide businesses, researchers, and developers with the most advanced AI tools—paving the way for innovation in ways not yet imagined. With NeuroCore, the future is within reach, and the time to leap forward is now. This achievement represents the logical next step in the evolution of AI hardware. We invite you to join us on this journey as we unlock the potential of tomorrow, today. Vidhi Waghela Dhruv Akshay Sanidhya Patel #NeuromorphicComputing #AIHardware #NeuroCore #Innovation #Neural #Technology #Leadership #TechTransformation #NextGenTechnology #JSALAABS
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𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲𝐒𝐜𝐚𝐥𝐞 𝐋𝐚𝐮𝐧𝐜𝐡𝐞𝐬 𝐰𝐢𝐭𝐡 𝐌𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥, 𝐄𝐒𝐌𝟑 EvolutionaryScale EvolutionaryScale, a frontier AI research lab for biology, launched today with ESM3, an AI model capable of generating novel proteins. ESM3 created a new Green Fluorescent Protein (GFP), a feat that would take 500 million years of natural evolution. This generative AI model allows interactive prompting to create proteins, advancing applications in drug discovery, materials science, and carbon capture. The founding team are pioneers in AI for biology, having developed the first transformer language model for proteins, ESM1. ESM3 was described in a scientific preprint and an open version of the model is available for researchers. Trained with more compute than any other known biology model, ESM3 reasons over the sequence, structure, and function of proteins, making biology programmable. “ESM3 takes a step toward a future where AI is a tool to engineer biology from first principles,” said Alexander Rives, co-founder and chief scientist. ESM3 generated a new GFP, simulating 500 million years of evolution, a task not previously documented computationally or experimentally. GFPs are crucial in molecular biology, aiding scientists in visualizing molecules inside cells. ESM3’s potential is vast, with applications ranging from new cancer treatments to carbon capture. EvolutionaryScale will open an API for closed beta today and provide code and weights for a small open version for non-commercial use. Collaborations with AWS and NVIDIA will accelerate applications in drug discovery and synthetic biology. EvolutionaryScale also announced over $142 million in seed funding, led by Nat Friedman Nat Friedman, Daniel Gross, and Lux Capital Lux Capital, with participation from Amazon Amazon, NVentures nVentures, and angel investors. This funding will expand the model's capabilities. #AI #Biotech #DrugDiscovery #SyntheticBiology #MachineLearning #ProteinEngineering #CarbonCapture #HealthTech #InnovativeScience #ESM3 #GreenFluorescentProtein #GenerativeAI #BiologicalResearch #LifeSciences
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The innovation environment is full of novel opportunities; but also is facing significant challenges, such as: ✓ Supply chain disruption ✓ Widespread & abnormally high inflation ✓ Armed conflict On the other hand, #innovation continues unabated, partly due to the new #Digital Age and the Deep Science innovation waves. Developments in fields as diverse as artificial intelligence #AI, quantum computing, genome sequencing, several green technologies & robotics show a new, possibly groundbreaking dynamic. Persistent efforts in innovation investment will be key to promoting productivity growth and making use of novel innovation opportunities. This guide on Incentives in #TechnologyTransfer underscores the indispensable role of academic #research in driving innovation. It focuses on two key facilitators: 1. Fostering a cultural shift to ensure that Tech Transfer becomes an acknowledged part of the researcher's mandate. 2. Exploring incentives that attract and retain top talent within TTOs, ensuring the continued success of Tech Transfer endeavors. Unprecedented level of detail and benchmarking on these two questions. Hope you'll enjoy the read!
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A New Standard in AI Hardware: This is Only the Beginning!! At JSA LAABS, our journey has always been focused on creating transformative technology that shapes the future, and NeuroCore is no exception. Surpassing 96.78% accuracy on MNIST, we’ve achieved what few have—outperforming industry leaders like Intel Loihi and IBM TrueNorth, even at this early stage. This isn’t just a milestone—it’s a statement. A statement that the next leap in AI hardware is here, setting new benchmarks for real-time AI processing. NeuroCore’s architecture isn’t just faster; it’s more efficient, more adaptive, and ready to power the future of AI-driven systems. The future we envision is one where technology serves humanity with precision, sustainability, and impact, from Eco-Friendly Data Centres and autonomous systems to next-gen healthcare solutions. And NeuroCore is built to be at the forefront of that revolution. 💡 What’s your take? How do you see AI hardware evolving, and what sectors will benefit most? Let’s engage in a conversation—drop your thoughts below and connect with us to explore new possibilities. This is just the beginning. Stay tuned as we continue to build the future, one innovation at a time. #InnovationLeadership #AIHardware #FutureOfAI #NeuromorphicComputing #JSALAABS #NextGenTechnology #AIForGood
Introducing NeuroCore: A New Era in Neuromorphic Computing At JSA LAABS, our goal has always been to create technology that transforms industries and opens new frontiers. NeuroCore is the embodiment of that vision—a neuromorphic AI accelerator chip designed to solve the most pressing challenges of today’s AI hardware landscape. With 96.78% accuracy on the MNIST dataset, we’ve already surpassed industry benchmarks set by leading solutions such as Intel Loihi and IBM TrueNorth. This is only the beginning. NeuroCore is engineered to drive energy-efficient, high-performance AI that redefines what’s possible across applications like autonomous systems, robotics, and real-time data processing. The architecture features neural cores and 65,536 synapses per core, optimized for minimal power consumption while maximizing computational output. This design mirrors the efficiency of biological neural networks, ensuring that the technology aligns with the future demands of sustainable and scalable AI solutions. Our vision is clear: To provide businesses, researchers, and developers with the most advanced AI tools—paving the way for innovation in ways not yet imagined. With NeuroCore, the future is within reach, and the time to leap forward is now. This achievement represents the logical next step in the evolution of AI hardware. We invite you to join us on this journey as we unlock the potential of tomorrow, today. Vidhi Waghela Dhruv Akshay Sanidhya Patel #NeuromorphicComputing #AIHardware #NeuroCore #Innovation #Neural #Technology #Leadership #TechTransformation #NextGenTechnology #JSALAABS
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🚀 World’s 1st Bio-Processor! 🔗 Uses 16 Human Brain Organoids (https://lnkd.in/d3zuhz4K), consumes a million times less energy than your typical digital chips. Swiss startup FinalSpark just launched an online platform giving you remote access to 16 brain organoids. 🧠💻 👾 FinalSpark’s Neuroplatform (https://lnkd.in/dXCpEMhp) is the first to let you dive into biological neurons in vitro. Their bioprocessors are insanely energy efficient – think a million times less power-hungry than digital processors! 🌱 By using these bioprocessors, which can learn and process info, we might seriously cut down the environmental impact of computing. 📉 According to their latest research (https://lnkd.in/diei4APb), training a large language model like GPT-3 eats up around 10 GWh – that’s about 6000 times more energy than an average European uses in a year. Imagine slashing that with biochips! 🌍✨ Energy costs could plummet after rolling out these bad boys. 🔋⚡ #TechRevolution #GreenComputing #BioTech
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