Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Komal Jasani, a QA engineer at Meta, has pioneered the use of machine learning in VR testing, leading to faster bug detection ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

The story of Urvang Kothari, a professional who has been working with organizations to use data more effectively, reflects ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

Professor Toshiaki Taniike’s lab – Laboratory of Materials Informatics, is pioneering a new era of materials discovery by ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...