Nanoscale ferroelectric tunnel junctions built on silicon show that shrinking device size dramatically boosts resistance ...

Abstract: This article quantitatively analyzes the limitations to energy efficiency and compute density for in-memory computing (IMC) based on today’s embedded non-volatile memory (eNVM) technology ...

Lenovo's IdeaCentre Mini x is a compact PC with efficient everyday performance, making it a good alternative to desktops and laptops alike.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

In this role, you will be at the forefront of AI innovation, building AmpereOne Aurora, our groundbreaking AI compute solution ...

Just like each person has unique fingerprints, every CMOS chip has a distinctive "fingerprint" caused by tiny, random ...

They also all agree that the RAM shortage is about to flip that on its head. Prices will go up. Fewer products will be available. Or as Omdia research manager Le Xuan Chiew put it, “vendors will shift ...

SAN FRANCISCO — Researchers from CEA-List and CEA-Leti today unveiled at ISSCC the first electro-optical router with dynamic, frame-level optical routing integrated with CMOS control logic, marking a ...

This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and computation for advanced information processing.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

Abstract: With the increasingly complex computing requirements of convolutional neural networks (CNNs) in edge computing scenarios, computing-in-memory (CIM) has been proposed to address the ...

This comprehensive guide will help you diagnose and fix common motherboard problems that can cripple your computer’s performance. Your motherboard serves as the central hub connecting all hardware ...