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 ...
insideHPC

In-Memory Computing Could Be an AI Inference Breakthrough

[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 ...
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

In-Memory Computing: Techniques for Error Detection and Correction

“In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators.