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 ...

The Future Is Local: How Edge AI Changes The Game

Those that lean into AI will need to balance small form factor, real-time responses and operation time, often tied to battery ...
NextBigFuture

Analog in-memory Computing Attention Mechanism for Fast and Energy-efficient Large Language Models

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 ...
Forbes

Innovation In Chip Design Is Breaking The Hardware Bottleneck For AI

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 ...
Semiconductor Engineering

Why In-Memory Computation Is So Important For Edge AI

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...
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 ...