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 ...
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 ...
Communications of the ACM

The Impersistence of Memory

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...
Semiconductor Engineering

Verification and Reliability Methods For RRAM-Based Computing-in-Memory (Univ. of Bremen et al)

A new technical paper titled “Special Session Paper: Formal Verification Techniques and Reliability Methods for RRAM-based Computing-in-Memory” was published by researchers at University of Bremen, ...
Khaberni

DeepSik May Break AI Memory Crunch Using New Technique

Khaberni - In a development that could change the game in the world of artificial intelligence, DeepSik in partnership with ...
Forbes

Why Super Chips Are The New Frontier In AI Computing

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 ...
Network World

Qualcomm goes all-in on inferencing with purpose-built cards and racks

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...