High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...
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RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Up until now, the simulation hypothesis, which has occasionally received backing from the likes of Elon Musk and Neil ...
A mathematical proof has finally debunked the idea that we live in a simulation, according to a group of international ...
Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a ...
The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.
Chinese researchers develop high-precision scalable analog matrix computing chip based on resistive memory, realizing for the first time an analog computing system whose accuracy rivals that of ...
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