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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 ...
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.
The YouTube video for Project Amethyst teases three new graphics technologies. It's about more than just the next console, though.
A startup hopes to challenge Nvidia, AMD, and Intel with a chip that wrangles probabilities rather than 1s and 0s.
Tech Xplore on MSN
AI efficiency advances with spintronic memory chip that combines storage and processing
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...
All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for ...
Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
Abstract: The SPDZ protocol family is a popular choice for secure multi-party computation (MPC) in a dishonest majority setting with active adversaries. Over the past decade, a series of studies have ...
Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...
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Google claims its latest quantum algorithm can outperform supercomputers on a real-world task
Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...
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