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EE Times, 4 December 2023
What is holding back neuromorphic computing, or more specifically, spiking neural networks? Mike Davies, director of Intel’s neuromorphic computing lab, told EE Times that the technology shows immense promise for reducing power consumption and latency versus current deep-learning–based neural networks. But this requires dedicated hardware accelerators, and there are still challenges with training regimes and software maturity, he added….
OpenAI Agreed to Buy $51 Million of AI Chips From a Startup Backed by CEO Sam Altman
WIRED, 3 December 2023
During Altman’s tenure as CEO, OpenAI had signed a letter of intent to spend $51 million on AI chips from a startup called Rain AI, a company in which he has also invested personally. Rain is based less than a mile from OpenAI’s headquarters in San Francisco and is working on a chip it calls a neuromorphic processing unit, or NPU, designed to replicate features of the human brain….
How Memristors Will Help Machines Think at Different Timescales
EE Times Current, 1 December 2023
In the latest episode of Brains and Machines, EE Times regular Dr. Sunny Bains talks to Professor Melika Payvand, who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. You’ll find out the role that memristors are playing in the systems she designs, why neural circuits need to operate at different timescales, and why copying some…
“Impressive research results” – external review panel evaluates final results of Human Brain Project
Human Brain Project, 28 November 2023
From 21-24 November, the final Human Brain Project (HBP) review was held in Brussels during which members of the HBP consortium presented the final project results to a panel of external scientific experts. The scope of this review was the final phase of the HBP, which ended in September 2023. Results were presented in detailed documentation and presentations and followed by extensive Q&As….
Neuromorphic Computing: The Future of Energy-Efficient AI
BNN BREAKING, 23 November 2023
Scientists from the Max Planck Institute for the Science of Light have made a groundbreaking leap in artificial intelligence (AI) training methods. This innovation, led by Víctor López Pastor and Florian Marquardt, hinges on the principles of neuromorphic computing, enabling improved energy efficiency. Unlike conventional digital artificial neural networks, this novel approach utilizes physical processes that mimic the human brain’s parallel processing and energy efficiency….
ARM Inventor Steve Furber on SpiNNaker 1, 2 and Beyond
EE Times Current, 17 November 2023
In this latest episode of Brains and Machines, EE Times regular Dr. Sunny Bains interviews now-Emeritus Professor Steve Furber as he prepares to leave the University of Manchester. They talk about associative memories, the original SpiNNaker neural simulator designed using densely-interconnected ARM cores, and the new generation of the technology currently being assembled….
Neuromorphic Chip Market In-Depth Analysis [2023-2032]: Emerging Trends, Growth Opportunities and Business Strategies
EINPRESSWIRE, 16 November 2023
Neuromorphic chips are specialized hardware designed to mimic the architecture and functionality of the human brain, enabling efficient and parallel processing for artificial intelligence tasks. These chips leverage neural networks, emphasizing low power consumption and cognitive computing capabilities. Inspired by the brain's neural structure,…
Neuromorphic Computing: The Next Big Thing in Internet Technology Innovation
TS2, 10 November 2023
Neuromorphic computing is poised to revolutionize the field of internet technology innovation. This breakthrough technology is inspired by the human brain and promises to deliver unprecedented levels of efficiency and performance. Understanding the basics of neuromorphic computing is crucial to grasp the potential it holds for the future….
Latest Update: Neuromorphic Computing Market Size to Surpass USD 527,604 Thousands by 2027
GlobeNewswire, 1 November 2023
Pune, India, Nov. 01, 2023 (GLOBE NEWSWIRE) — The global neuromorphic computing market size was valued at USD 62,411 Thousands in 2022 and is projected to reach USD 527,604 thousands by 2027, exhibiting a CAGR of 54.6% during the forecast period. Fortune Business Insights™ shares this information in its report titled Neuromorphic Computing Market Forecast, 2023-2027….
What is neuromorphic computing and how will it impact generative AI?
Verdict, 30 October 2023
Neuromorphic computing is likely to have high-impact, long-term implications for generative artificial intelligence (AI), a recent GlobalData report indicates. Although a specialised term, ‘neuromorphic’ simply refers in this instance to computing design that is based on the architecture of the brain. Neuromorphic computing explained: The concept is expanded upon in GlobalData’s What are the game-changing innovations in AI after generative AI report, which says:…
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