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 ...
Morning Overview on MSN

MIT’s heat-powered silicon chips hit 99% accuracy in math tests

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
InfoWorld

Edge AI: The future of AI inference is smarter local compute

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
UNESCO

Safe learning environments: Preventing and addressing violence in and around school

School violence is widespread, occurs in all countries and affects a large number of children and adolescents. It refers to all forms of violence in or outside of the classroom, around schools, on the ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Nature

Viral vectors articles from across Nature Portfolio

Viral vectors are used for the delivery of genetical material into cells. Because viruses have a natural ability to efficiently deliver their genome into host cells, they are an ideal tool for gene ...
IEEE

Deep Reinforcement Learning-Based Approach for Identifying Critical Nodes in Cyber Physical Power Systems

Abstract: With the continuous development of smart grids, the cyber-physical power system (CPPS) has become the core architecture of modern power systems. However, accurately identifying critical ...
GitHub

Introduction to AI-Native Vector Databases

This is the repository for the LinkedIn Learning course Introduction to AI-Native Vector Databases. The full course is available from LinkedIn Learning. The primary purpose of vector databases is to ...
IEEE

Autonomous Model Quantization Framework for Hybrid Vision Transformers based on Reinforcement Learning

Abstract: Existing quantization approaches often suffer from significant accuracy degradation when compressing hybrid convolution and transformer models with low bit-width. This paper presents ...