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 ...
Education Week

How the Vocabulary Math Teachers Use Affects Student Learning

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...
IEEE

IrGEMM: An Input-Aware Tuning Framework for Irregular GEMM on ARM and X86 CPUs

Abstract: The matrix multiplication algorithm is a fundamental numerical technique in linear algebra and plays a crucial role in many scientific computing applications. Despite the high performance of ...
Hacker

Stop Asking AI for Answers: Why the Future of Research is "Problem Generation"

Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.
WHYY

Will A.I. kill human creativity – and critical thinking?

Would you watch a movie generated entirely by AI? Or read a novel written by an algorithm? Examples of AI-generated art are pretty astounding, and users are now able to create hyper-realistic videos ...
CNX Software

Forlinx FET1126Bx-S low-power Rockchip RV1126BJ industrial SoM powers SBC with 40-pin GPIO header

Forlinx has recently released the FET1126Bx-S, a low-power SoM, which is based on the Rockchip RV1126B (commercial) or RV1126BJ (industrial) SoC. Designed for edge AI applications, the module is ...
IEEE

FSpGEMM: A Framework for Accelerating Sparse General Matrix–Matrix Multiplication Using Gustavson’s Algorithm on FPGAs

Abstract: General sparse matrix–matrix multiplication (SpGEMM) is integral to many high-performance computing (HPC) and machine learning applications. However, prior field-programmable gate array ...