In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

A decade ago, the NFL’s “Next Gen” journey started with hardware. The league embedded RFID chips into every player’s shoulder ...

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

An intensive programme on reinforcement learning, brought together 60 international participants including students, researchers and industry practitioners to the Sungai Long campus of Universiti ...