Hackaday

Dynamic RAM From First Principles

Before the past year, many of us took computer memory for granted. It was one of the lower-cost parts of a PC build and was ...
Semiconductor Engineering

Stacked Ferroelectric Memory Array Comprised Of Laterally Gated Ferroelectric Field-Effect Transistors

“In-memory computing is an attractive alternative for handling data-intensive tasks as it employs parallel processing without the need for data transfer. Nevertheless, it necessitates a high-density ...
Semiconductor Engineering

FeFET Memory Encrypted Inside The Storage Array

A new technical paper titled “Embedding security into ferroelectric FET array via in situ memory operation” was published by researchers at Pennsylvania State University, University of Notre Dame, ...
Nature

Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks

Hardware-based neural networks (NNs) can provide a significant breakthrough in artificial intelligence applications due to their ability to extract features from unstructured data and learn from them.
New Electronics

CEA-Leti demonstrates 22nm FeRAM breakthrough for edge AI applications

The development, presented at the VLSI Symposium in Honolulu, addresses long-standing challenges in achieving competitive ...
Nature

CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators

In-memory computing architectures based on memristive crossbar arrays could offer higher computing efficiency than traditional hardware in deep learning applications. However, the core memory devices ...
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 ...
Ars Technica

C - using malloc to dynamically assign memory for a array of strings

Hi,<BR><BR>I've been having some difficulty with a C assignment that I have (I'm starting to realize how much PHP and Java spoils me!). Its a simple cash register that asks for the type of purchase, ...
Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits. Memristors, ...
EDN

DRAM for energy- and area-efficient analog in-memory computing

Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.
AFP

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 ...
TechSpot

New 2D memory chip could extend Moore's Law into the atomic era

The big picture: If successfully scaled to industrial production, these chips could extend Moore's Law into the atomic domain by enabling far greater component density without incurring unsustainable ...