An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

"Firstly, traditional sorting hardware involves extensive comparison and select logic, conditional branching, or swap operations, featuring irregular control flow that fundamentally differs from the ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--ANAFLASH, a Silicon Valley-based pioneer in low power edge computing, has acquired Legato Logic’s time-based compute-in-memory technologies and its industry ...

optoML has completed 12nm TSMC tapeout The company’s patented in-memory compute architecture offers up to 50× higher energy ...

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 ...

ANAFLASH has acquired Legato Logic to enhance its development of non-volatile compute-in-memory technology, focusing on battery-powered intelligent sensors. This strategic acquisition aims to ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

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