Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

AI analysis of retinal images may enable cuffless blood pressure biometry with accuracy comparable to traditional arm cuff measurements.

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...