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 ...
Hosted on MSN

Meters closer, miles faster: A novel cryogenic in-memory computing scheme to bridge AI with quantum computing

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum ...
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

EnCharge AI Closes Oversubscribed $100M Series B Funding Round Led by Tiger Global to Produce Transformative AI Accelerator Solutions with Unprecedented Efficiency for Client ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--EnCharge AI, a startup developing first-of-its-kind analog in-memory-computing AI chips, today announced it has secured over $100 million in Series B funding.
Semiconductor Engineering

AI Memory: Enabling The Next Era Of High-Performance Computing

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...
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 ...