Sanidhya Patel’s Post

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

Understanding Neural Links: A #neurallink is a technology that establishes a direct interface between the human brain and external devices or systems. Neural links can be achieved through invasive (e.g., implanted electrodes) or non-invasive (e.g., EEG-based sensors) means. Companies like #Neuralink, founded by #ElonMusk, aim to create advanced brain-computer interface (BCI) technologies. How Neural Links Work: - Signal Acquisition: #Sensors capture brain activity, often in the form of electrical signals generated by neurons. - Signal Processing: Collected data is decoded using #algorithms to interpret specific patterns or intentions. - Feedback or Action: Decoded signals are translated into commands for external devices, like #computers, prosthetics, or #robotic systems. 💡 The potential is limitless, but challenges like privacy, safety, and ethics need thoughtful solutions. 🌟 Neural links are redefining how we interact with the world. Are you as excited about this as I am? Share your thoughts below! 👇 #Innovation #Technology #Automation #MedicalScience #Research  #BrainTech #FutureOfTechnology #CognitiveEnhancement #AI #Gaming

Building #AI with Human Brain Cells in order to save energy: The Next Frontier? Swiss startup FinalSpark just launched a service allowing scientists to rent #cloud access to "biocomputers" made of human brain cells for $500 a month, in an effort to create AI that uses 100,000x less energy than current systems. The details: The system uses organoids (clumps of #human brain cells) that can "live" and compute for up to 100 days. AI models are trained using dopamine for positive reinforcement and electrical signals for negative reinforcement, mimicking natural neural processes. FinalSpark claims these biocomputers could be up to 100,000 times more efficient for AI training than traditional silicon-based #technology. Why does it matter? The AI industry is notorious for its massive #energy demands, so finding alternatives to power-hungry CPUs and GPUs is a promising move. But when it comes to biocomputing with brain organoids, we’re venturing into a whole #new realm—one that could stir up serious ethical debates. After all, what happens if these tiny clusters of cells start showing signs of consciousness? It’s a concept straight out of sci-fi, but the implications could be very real. #artificial #future Source: https://lnkd.in/ezvgwQib

**Harnessing the Power of Magnetic Tunnel Junctions to Revolutionize AI Performance** In AI’s evolving realm, efficiency and performance are paramount. Enter Magnetic Tunnel Junction (MTJ) technology, transforming AI with faster, more efficient data processing and storage. **The Rise of MTJ in AI** MTJ technology leverages quantum mechanics, using electron spin to manipulate data, leading to significant improvements in speed, energy efficiency, and data density. Dr. Emily Roth, an AI and nanotechnology researcher, states, "The unique properties of magnetic tunnel junctions make them ideal for next-gen AI systems, offering speed, efficiency, and the ability to handle complex tasks." **Enhancing AI Efficiency with MTJ Technology** MTJ technology improves neural networks’ efficiency, reducing power consumption and latency. "Imagine an AI system performing complex calculations and decisions with minimal energy," says Dr. Roth. "MTJs allow highly efficient AI architectures to operate in resource-constrained environments without sacrificing performance." **Advancements and Integration** Engineers optimize MTJ design, exploring novel materials, better manufacturing processes, and innovative circuit architectures. Integration with neuromorphic computing, mimicking the human brain, is particularly promising. "The synergy between MTJ technology and neuromorphic computing is exciting," says Dr. Roth. "Combining these innovations, we can create AI systems with human-like intelligence and decision-making capabilities." **Overcoming Challenges and Driving Innovation** Despite its promise, MTJ technology faces challenges like optimizing reliability and scalability, developing manufacturing processes, and integrating with existing AI frameworks. Yet, the engineering community’s drive and MTJ’s potential fuel ongoing innovation. **Conclusion** MTJ technology revolutionizes AI, enhancing efficiency and performance, and paving the way for breakthroughs across various fields. From real-time decisions in autonomous vehicles to advanced natural language processing, MTJ-powered AI systems promise to tackle complex problems, unlocking new discoveries and improving quality of life worldwide. #AIRevolution #MagneticTunnelJunction #TechInnovation #EnergyEfficientAI #FutureOfComputing

Imagine stepping into a world where the boundaries of research are limitless 🌟, where complex challenges are not just met but surpassed with ease. This is the future that Gefion, the #AI supercomputer, makes possible 💡. Set to turbocharge research, Gefion unlocks new possibilities in both academia and industry, offering unparalleled computational power that empowers enterprises to tackle complex challenges like never before . At its core lies a cutting-edge #GPU, one of the world’s most powerful, specifically designed for AI tasks. With 191 DGx systems, Gefion boasts an impressive 1,528 individual GPUs, all interconnected by 65 kilometers of cable 🧶. Weighing in at a staggering 30 tons, Gefion isn’t just impressive — it’s transformative. This supercomputer is poised to revolutionize problem-solving and fuel innovation. In just three weeks, over 50 proposals were submitted to fully harness Gefion’s capabilities, and six winning projects were selected for Gefion’s pilot phase 🏆. These projects will utilize Gefion to process extensive datasets and address complex challenges directly, pushing the frontiers of what’s possible. As these frontiers are pushed, we find ourselves stepping into a world where the boundaries of research are limitless, where complex challenges are not just met but surpassed with ease 🌟. Find out more: https://okt.to/pYU9sK

The AI exploration continues! In #Episode_2, Professor Michael Carter and I introduce #Deepseek, an emerging #AI model, and dive into the #NVIDIA Jetson Orin Nano, a powerful edge AI device designed for developers, researchers, and AI enthusiasts. We discuss how Deepseek is shaping the AI landscape and explore the capabilities of the Jetson Orin Nano in computer vision, robotics, and edge computing. With its impressive performance and efficiency, this device is opening new possibilities for real-time AI applications. What excites you the most about AI models like Deepseek and edge devices like the Jetson Orin Nano? Let’s discuss! #AI #DeepLearning #JetsonOrinNano #NVIDIA #EdgeComputing #MachineLearning #TechInnovation

*** Accelerating AI via Digital Twins & CHIP Hardware *** The surge in AI services is bringing a wealth of ‘automation’ to our lives. However, In order to continue on this path, we need to make AI compute systems a lot more energy efficient. I share DOE's vision to become 1000x more efficient in the next 20 years (see the EES2 roadmap). Ask yourself—how would our daily lives feel if we charged our phones only once every 3 months? (...and that is only 100x). My vision and funded projects explore doing this in two ways: 1) Use digital twins to improved semiconductor processes in fabs increasing yield and accelerating innovation to faster and more competitive time-to-market. Our shiny new CHIPS SMART USA institute is will do pioneering and translational (lab-to-fab) work. 2) Combine the best-of- both worlds. Electronic chips (i.e. memory and reconfiguration) with photonic chips (i.e. optical communication). Here our targets include signal communication in datacenter platform, but also accelerating, certain, computational operations, such as multiply accelerate (MAC) or convolution operations on photonic chips. Inspirations from both multicore computing or the human brain offer interesting avenues as well, but this is for another post. Real world applications, there are many: i) data centers are front and center, since data is already in the optical domain, but also ii) network edge to process analog sensory data, such as self driving cars, drones, etc. Regarding the latter, naturally there are interests from DOD and space agencies, hence our upcoming chip tests with NASA and Sapce-X. Exemplary projects, I am leading include ones with the Navy and with the Air Force under my PECASE award. Below, a recent radio summary about our approach using machine learning and AI for the Digital Twins in semiconductors. Onwards! University of Florida Florida Semiconductor Institute ECE Florida CHIPS for America #semiconductors #AI #photonics #chips #digitaltwins #datacenters #SMART https://lnkd.in/exDTkQkP

𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬: 𝐇𝐨𝐰 𝐍𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐌𝐢𝐫𝐫𝐨𝐫𝐬 𝐭𝐡𝐞 𝐇𝐮𝐦𝐚𝐧 𝐁𝐫𝐚𝐢𝐧🧠🤖 #Neuromorphic #computing is an innovative technology that mimics the neural structure and functioning of the human brain to improve the efficiency and performance of computational systems. 𝐆𝐞𝐭 𝐚𝐧 𝐨𝐯𝐞𝐫𝐯𝐢𝐞𝐰 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐬𝐭𝐮𝐝𝐲  https://lnkd.in/e26Zyd5m 𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🔗Image Recognition 🔗Signal Recognition 🔗Data Mining 𝐍𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐌𝐚𝐫𝐤𝐞𝐭 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 ⚡𝐌𝐚𝐫𝐤𝐞𝐭 𝐆𝐫𝐨𝐰𝐭𝐡 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥: With projected exponential growth, the Neuromorphic Computing Market represents a multi-billion-dollar opportunity. ⚡𝐃𝐫𝐢𝐯𝐢𝐧𝐠 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Enables advancements in autonomous systems, edge computing, and real-time data processing. ⚡𝐔𝐧𝐦𝐞𝐭 𝐍𝐞𝐞𝐝𝐬: Addresses limitations of traditional silicon-based processors, paving the way for breakthroughs in AI and machine learning. ⚡𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐀𝐩𝐩𝐞𝐚𝐥: A nascent market with room for strategic investments and partnerships for early adopters. #TechInnovation #FutureOfAI #SmartComputing #SustainableTech #Robotics #AIRevolution #MarketResearch, #BusinessGrowth, #DataDrivenDecisions, #CompetitiveAnalysis, #InnovationStrategicInsights, #StrategyBuilding, #IMR

Imagine stepping into a world where the boundaries of research are limitless 🌟, where complex challenges are not just met but surpassed with ease. This is the future that Gefion, the #AI supercomputer, makes possible 💡. Set to turbocharge research, Gefion unlocks new possibilities in both academia and industry, offering unparalleled computational power that empowers enterprises to tackle complex challenges like never before . At its core lies a cutting-edge #GPU, one of the world’s most powerful, specifically designed for AI tasks. With 191 DGx systems, Gefion boasts an impressive 1,528 individual GPUs, all interconnected by 65 kilometers of cable 🧶. Weighing in at a staggering 30 tons, Gefion isn’t just impressive — it’s transformative. This supercomputer is poised to revolutionize problem-solving and fuel innovation. In just three weeks, over 50 proposals were submitted to fully harness Gefion’s capabilities, and six winning projects were selected for Gefion’s pilot phase 🏆. These projects will utilize Gefion to process extensive datasets and address complex challenges directly, pushing the frontiers of what’s possible. As these frontiers are pushed, we find ourselves stepping into a world where the boundaries of research are limitless, where complex challenges are not just met but surpassed with ease 🌟. Find out more: https://okt.to/ZoItfm

Imagine stepping into a world where the boundaries of research are limitless 🌟, where complex challenges are not just met but surpassed with ease. This is the future that Gefion, the #AI supercomputer, makes possible 💡. Set to turbocharge research, Gefion unlocks new possibilities in both academia and industry, offering unparalleled computational power that empowers enterprises to tackle complex challenges like never before . At its core lies a cutting-edge #GPU, one of the world’s most powerful, specifically designed for AI tasks. With 191 DGx systems, Gefion boasts an impressive 1,528 individual GPUs, all interconnected by 65 kilometers of cable 🧶. Weighing in at a staggering 30 tons, Gefion isn’t just impressive — it’s transformative. This supercomputer is poised to revolutionize problem-solving and fuel innovation. In just three weeks, over 50 proposals were submitted to fully harness Gefion’s capabilities, and six winning projects were selected for Gefion’s pilot phase 🏆. These projects will utilize Gefion to process extensive datasets and address complex challenges directly, pushing the frontiers of what’s possible. As these frontiers are pushed, we find ourselves stepping into a world where the boundaries of research are limitless, where complex challenges are not just met but surpassed with ease 🌟. Find out more: https://okt.to/nHXbB4