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 ...
Tech Xplore

Researchers break the 'memory wall' in large-scale AI training

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...
Las Vegas Sun

TetraMem Announces 22nm Multi-Level RRAM Analog In-Memory Computing SoC Milestone

TetraMem Inc., a Silicon Valley–based semiconductor company developing analog in-memory computing (IMC) solutions, today announced the successful tape-out, manufacturing, and initial silicon ...
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 ...
EurekAlert!

Multipurpose memory

Technion Researchers have developed a software package that enables computers to perform processing operations directly in memory, bypassing the CPU. This is a significant step toward developing ...
Phys.org

A multi-level breakthrough in optical computing—a faster, more efficient, and robust memory cell

For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. The team ...
Las Vegas Sun

TetraMem and Academic Partners Demonstrate 700°C RRAM/Memristor Breakthrough, Advancing Path Toward Deep-Space AI Computing

TetraMem Inc. today announced that its academic and research collaborators have demonstrated RRAM (memristor) devices capable of reliable operation at temperatures up to 700°C, marking a major advance ...