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Brain-like power: Quantum material paves way for energy-efficient computing

A team of researchers from the Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) consortium, led by the University of California San Diego, has unlocked a hidden potential in quantum materials. This potential, known as non-local behavior, holds promise in mimicking the intricate workings of the human brain and revolutionizing energy-efficient computing.
Alex Fra University Of California San Diego Quantum Materials For Energy Efficient Neuromorphic Computing Quantum Materials Energy Efficient Neuromorphic Computing California San Diego
Source: theweek.in

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The Worldwide High Performance Computing Industry is Expected to Reach $49.4 Billion by 2025

Share this article Share this article ResearchAndMarkets.coms offering. The global HPC market is expected to grow from USD 37.8 billion in 2020 to USD 49.4 billion by 2025, at a CAGR of 5.5% during the forecast period. The demand for HPC is driven by the increasing need for efficient computing enhanced scalability, and reliable storage, emerging need for the high speed data processing with accuracy, adoption of HPC in the cloud. Support, Maintenance, and Management segment to growth with highe...
United States Laura Wood Research Sector Budget Among Smes High Performance Computing Solutions For The Education Management Task Force

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