This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
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Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say
A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
SHENZHEN, China, Dec. 22, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing ...
A gold superconducting quantum computer hangs against a black background. Quantum computers, like the one shown here, could someday allow chemists to solve problems that classical computers can’t.
Despite working in quantum computing for decades, Akira Furusawa, a professor at the University of Tokyo in Japan, has no idea what the quantum-computer era will look like. “It’s going to transform ...
Writing good, performant code depends strongly on an understanding of the underlying hardware. This is especially the case in ...
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Jan. 9, 2026 Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for ...
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