Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...
AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
Abstract: Multiplication is a fundamental operation in neural network models. However, signed multibit multiplication and accumulation (MAC) pose significant challenges, primarily due to the ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...
The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...
Francesca Parmigiani and Jiaqi Chu, researchers at Microsoft Research Cambridge, discuss a new kind of computer – an analog optical computer – that has the potential to accelerate AI inference and ...
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