In-memory computing, which processes data directly within memory units, is emerging as a powerful solution to overcome the ...

Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data across the chip to a separate processor for storage and number-crunching.

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...

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 ...

As an emerging non-volatile device, memristors have garnered significant attention due to their low power consumption, high density, and multifunctionality. In modern computing systems, traditional ...

Compute Express Link (CXL) devices can take advantage of available PCIe interfaces to open an additional conduit that complements the overtaxed memory bus. More lanes, more data movement, more ...

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 ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...