Science Daily

A multi-level breakthrough in optical computing

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...
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 ...
Business Wire

The Global Market for Low Power/High Efficiency AI Semiconductors, 2026-2036 - Neuromorphic Computing and In-Memory Architectures Pave the Way for AI Semiconductor Market ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...
Semiconductor Engineering

Is In-Memory Compute Still Alive?

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...
Semiconductor Engineering

ReRAM-Based, In-Memory Implementation Of Stochastic Computing

A new technical paper titled “All-in-Memory Stochastic Computing using ReRAM” was published by researchers at TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), ...