Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Frontiers

Benchmarking, Evaluation, and Reproducibility in Earth Observation Machine Learning

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
IEEE

Adaptive Beam Tracking in 5G/6G mmWave Networks: A Clustered Federated Learning Approach

Abstract: Millimeter wave (mmWave, 30–100 GHz) communication is essential for meeting the high data throughput demands of 5G/6G networks. However, mmWave signals are highly susceptible to attenuation ...
The New York Times

Meta Unveils an A.I. Image Generator

Muse Image, which can create realistic images for users on Instagram and WhatsApp, is the company’s latest attempt to catch up in the global artificial intelligence race. By Eli Tan Reporting from San ...
IEEE

Event-Triggered Image-Space Tracking Control of Space Manipulators Using Off-Policy Reinforcement Learning With Disturbance Observers

Abstract: This article aims to develop a methodology to address challenges in image-space tracking control for space manipulators, including external uncertainties, inherent dynamic uncertainties, and ...