AI sharpens satellite eyes on air pollution

A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...
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.

Conversational AI doesn’t understand users — 'Intent First' architecture does

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...
IEEE

Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control

Abstract: This research addresses the acoustic feedback and stability performance of Active Noise Control (ANC) systems. The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most ...
IEEE

Toward the Age in Forwarding: A Deep Reinforcement Learning Enabled Routing Mechanism for Large-Scale Satellite Networks via Spatial–Temporal Graph Neural Networks

Abstract: In large-scale satellite networks, end-to-end data delivery confronts long propagation latency and dynamical connectivity, heavily challenging current routing strategies due to the ...
GitHub

[OSDI'25 Artifact] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...