In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

Even with simulation, critical failure modes like resonance-induced fatigue and connection looseness can emerge during ...

Microshifting, where staff work in concentrated bursts, is just one way to deal with shifting workday patterns.

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Dual Edge Research publishes two powerful newsletters that work great individually — and even better together. The Bull ...

For the first time, scientists have observed the iconic Shapiro steps, a staircase-like quantum effect, in ultracold atoms.

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

Explore how changing consumer expectations are reshaping digital and AI architectures, driving businesses to innovate faster ...

A 2026 playbook for higher ed leaders: 7 decisions on AI infrastructure, governance evidence, student AI fluency, and agentic ...