New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
IEEE

Distributed Two-Tier Edge Computing in Integrated Satellite-Terrestrial Networks: A Multiagent Deep Deterministic Policy Gradient Approach

Abstract: The integrated satellite-terrestrial network architecture has emerged as a hotspot for the Internet of Everything (IoE), which is a promising approach to provide communication service ...
IEEE

Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets

Abstract: Deep learning models have great potential in medical imaging, including orthodontics and skeletal maturity assessment. However, using a model on data different from its training set can lead ...
MLB

These five players hit walk-off home runs in their MLB debut

Making your MLB debut is a special enough accomplishment in its own right. Some players take it to the next level in their first-ever game, however. On June 9, 2026, the White Sox's Braden Montgomery ...