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

The AI boost offered by the CPU and GPU combo gives creative applications a power boost further enhanced by the OCuLink eGPU option ...

GF’s industry-leading FDX platform is ideally suited for applications in Physical AI that are optimized for long battery life in small form factors, thanks to its ultra-low power and low leakage ...

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 ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...

A new teaser image of AMD's upcoming 9850X3D CPU has appeared on a Chinese social media platform, showing the chip operating at 5.3 GHz (rather than the 5.6 GHz in its specifications) with extremely ...

Abstract: This work presents a fully analog in-memory annealing Ising machine based on CMOS-integrated voltage-controlled magnetic anisotropy magnetic tunnel junction (VCMA-MTJ), developed through a ...

Intel, Gigabyte, and Corsair have once again broken the memory overclocking world record, pushing the limit to over 13.5 megatransfers per second (MT/s). Using a Gigabyte Z890 Aorus Tachyon Ice board ...

(a) The percolation model for gate leakage of metal nanocrystals floating gate memory. (b) Schematic structure diagram of the floating gate memory based on discrete Pt nanocrystals/h-BN/MoS 2 van der ...