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#Researchers have long been inspired by the #brain's ability to process information quickly and efficiently, which has led to the development of machine learning algorithms and specialized hardware mimicking brain-like functions. One of the biggest challenges, However, has been translating the most commonly used deep learning method, the backpropagation algorithm, to hardware that functions like biological neurons—known as #neuromorphic hardware. This study takes a significant step forward by creating a #New version of the backpropagation algorithm designed specifically for #spikingneuralnetworks (SNNs) implemented on Intel's Loihi neuromorphic processor. These spiking neurons, much like brain cells, communicate by sending bursts of electrical signals, offering faster and more energy-efficient computing. For the #first time, the researchers demonstrate a fully on-chip system capable of learning using backpropagation without needing a traditional computer. The team built a three-layer network that learned to recognize images of handwritten digits and clothing items from popular datasets like #MNIST and Fashion MNIST, showing accuracy competitive with other methods. This work paves the way for more advanced neuromorphic processors to be used in real-world applications, especially in areas requiring low-power, low-latency computing, such as edge devices, where rapid decision-making is critical. | #nnishiai #ai #machinelearning #neuromorphiccomputing #Backpropagation #neurons #cognition #EvolutionaryComputing

*Big Breakthrough* Researchers at the Indian Institute of Science have developed a 'brain on a chip' technology capable of storing and processing data in 16,500 states within a molecular film. This breakthrough in neuromorphic computing could revolutionize AI hardware, making complex tasks more efficient and potentially positioning India as a leader in global technology innovation. #Innovation #technology #IISC #data #breakthrough #computing #chip #AI #ArtificalIntelligence #semiconductors #semiconductor #electronics #science #deeptech https://lnkd.in/emwdTBMb

Consciosness vs Intelligence Intelligence is the ability to solve problems - to sustain survivability - in an ever changing world. Consciousness is the capability to feel that one is alive (not just know it). Intelligence is computable (it seems) using a Turing Machine, i.e., Digital Computers. Consciousness too is computable as in the case of humans. We do not yet know if it is computable with Digital Computers. “The truth” seems to be much more than setting a Boolean variable. Robots that can feel beyond simply sensing through sensors seems beyond reach at the moment. But it is a good area to start thinking about for researchers.

EvolutionaryScale, a frontier AI research lab, has unveiled ESM3, a cutting-edge generative AI model for protein design. With 98 billion parameters and trained on 2.78 billion protein sequences, ESM3 integrates sequence, structure, and function annotations for unparalleled accuracy. This groundbreaking model, with 1 trillion teraflops of computing power, surpasses all other known models in biology. Using NVIDIA H100 GPUs and the Andromeda cluster, ESM3 is set to transform drug discovery, materials science, and environmental sustainability. ESM3's capabilities also extend to environmental applications, with the potential to design proteins for carbon capture and create enzymes capable of breaking down harmful plastics. Its interactive capabilities empower researchers to craft specific protein designs, making it a vital ally in overcoming biological hurdles. #AI#GenerativeAI#Sustainability#Biotech#Innovation#ESM3#EvolutionaryScale    

Intel creates biggest eco-friendly AI system for neuromorphic advancements. #AIinnovation 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Intel has introduced Hala Point, the world's largest neuromorphic system, utilizing the advanced Loihi 2 processor to enhance artificial intelligence efficiency. This system, deployed at Sandia National Laboratories, offers significant improvements in architecture, boosting neuron capacity and performance. Hala Point aims to advance large-scale AI technology efficiency and adaptability, supporting up to 20 petaops and exceeding 15 trillion TOPS/W. Intel envisions that lessons learned from Hala Point will enhance future commercial systems and enable continuous learning for large language models. Neuromorphic computing, inspired by neuroscience, integrates memory and computing for efficiency, speed, and adaptability. Hashtags: #chatGPT #EcoFriendlyAI #NeuromorphicAdvancements

Did You Know? Quantum computing is set to revolutionize the future by solving complex problems far beyond the reach of today’s computers. Unlike classical computers that use bits (0s and 1s), quantum computers operate with qubits, enabling massive processing power. This leap has exciting implications for AI, making predictions, simulations, and optimizations exponentially faster. 🔹 How Swisstrategy can help: - Watchmaking & Jewelry: Elevate precision in design and enhance supply chain efficiency. - Fashion & Automotive: Drive innovation in design and predictive forecasting. - Hospitality: Boost personalization and resource efficiency. Fuel your ambition with Swisstrategy and step into the future of tech. Visit our website for more insights: https://swisstrategy.com/ #QuantumComputing #Innovation #Swisstrategy #AI #LuxuryTech #FutureInnovation #PrecisionEngineering #FuelYourAmbition

Imagine processing data at the speed of light, literally! 🌟 Curious? Dive into the details of this revolutionary technology below. ⬇️" Researchers at Penn Engineering have unveiled a game-changing silicon-photonic (SiPh) chip that leverages light waves for computing. This innovation could revolutionize the AI industry with: ⚡️ Significantly increased processing speeds, enabling AI to operate at the speed of light. 🌍 Dramatically reduced energy consumption for AI tasks, promoting sustainability. 🔒 Enhanced privacy features, allowing computations without storing sensitive data in working memory. This chip is set to transform the AI landscape with its readiness for commercial applications, especially in enhancing GPUs for AI development. ************************************************** 📢 For more, follow me here: https://ow.ly/LTzO50QHLuu 🔔 Ring the bell to ensure you get notified of new posts. ************************************************** #AI #Innovation #Technology #SiliconPhotonics #PennEngineering

The technology is a significant advancement in the field of computing! Combining artificial intelligence with neuromorphic algorithms in a chip could lead to highly efficient and intelligent systems capable of processing information in ways similar to the human brain. Such technology could revolutionize various industries by enabling more sophisticated AI applications while being energy-efficient. Intel, for instance, has recently announced the development of Hala Point, the world’s largest neuromorphic system, which utilizes their Loihi processor. This system is designed to support research for future brain-inspired AI and addresses challenges related to the efficiency and sustainability of today’s AI. It’s capable of supporting up to 20 quadrillion operations per second and demonstrates state-of-the-art computational efficiencies on mainstream AI workloads Technology is been developed over the last 7 years. In case you have any question about let us know. #Artificial Inteligence #Neuromorfic Chip #Quantum #Computations #News

Elon Musk is investing heavily in science and modern technology A device for the blind to see, even if it is from birth, has been built by him. The Blindsight device from Neuralink will enable even those who have lost both eyes and their optic nerve to see. Provided the visual cortex is intact, it will even enable those who have been blind from birth to see for the first time. To set expectations correctly, the vision will be at first be low resolution, like Atari graphics, but eventually it has the potential be better than natural vision and enable you to see in infrared, ultraviolet or even radar wavelengths, like Geordi La Forge.

Last week, the Future of Computing blog crossed 120 interviews with startup founders and industry experts 🦾 It's been 2.5 years since I started this blog, and by now, it gives a pretty comprehensive overview of which trends and players are shaping the forefront of computing. How can we reuse transistors as qubits? How can we make computations reversible? How can quantum physics help to compress neural networks? How can we detect and correct quantum errors? How can we build brain-scale supercomputers? If you're curious about these questions and more, check out the last 20 interviews with: Diraq, Codasip, Vaire Computing, QuiX Quantum, Molecular Quantum Solutions, Hermann Hauser, Groq, Multiverse Computing, SpiNNcloud Systems GmbH, Silogy, Innatera, SemiQon, Reasonance GmbH, Akhetonics, ZeroPoint Technologies, Quantagonia, Error Corp., Universal Quantum, Wave Photonics, and BlueQubit ... and subscribe to the Future of Computing newsletter to not miss future interviews (link in the comments) In the interview tomorrow, we'll dig into autonomous software systems and boosting data scientist's productivity 🤗