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 ...

A technical paper titled “First demonstration of in-memory computing crossbar using multi-level Cell FeFET” was published by researchers at Robert Bosch, University of Stuttgart, Indian Institute of ...

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...

A team of engineers has proven that their analog computing device, called a memristor, can complete complex, scientific computing tasks while bypassing the limitations of digital computing. A team of ...

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 ...

With the explosion of AI-rich embedded applications, how do you build the performance needed into embedded microcontrollers? One approach is to offload matrix-vector model operations to an in-memory ...

Exponential increases in data and demand for improved performance to process that data has spawned a variety of new approaches to processor design and packaging, but it also is driving big changes on ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

HSINCHU, TAIWAN - SEPTEMBER 16: A closeup of a silicon wafer on display at Taiwan Semiconductor Research Institution on September 16, 2022 in Hsinchu, Taiwan. Taiwan's semiconductor manufacturing ...

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 ...