Atom-thin, content-addressable memory enables edge AI applications

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...
Medicine Buffalo

How can AI be more energy efficient? UB researchers look to human brain for inspiration

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...
Semiconductor Engineering

Accelerator Architecture For In-Memory Computation of CNN Inferences Using Racetrack Memory

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
Semiconductor Engineering

AI Memory: Enabling The Next Era Of High-Performance Computing

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...
Forbes

Why Super Chips Are The New Frontier In AI Computing

Agentic AI is driving a major transformation in computing, enabled by more powerful processors and new semiconductor manufacturing techniques. Traditional single-chip architectures are reticle-limited ...
Live Science on MSN

MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes

Engineers from MIT say that stacking circuit components on top of each other could be the answer to creating more ...