Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Houston-based testing lab delivers 24-hour turnaround for mission-critical semiconductor verification HOUSTON, TX, ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...