Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

MIT researchers tested the “Spatial Computing” theory and found that brain waves organize neurons into flexible, ...

D-Wave Quantum Inc. (NYSE: QBTS) has launched a new U.S. government business unit to accelerate federal adoption of its quantum systems, software, and services. The company appointed veteran ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, ...