Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide.

A new study introduces an artificial intelligence (AI)-driven remote sensing framework designed to map the potential for ...

When you meet Chandrasekhar Atakari, his calm demeanour gives little away about the scale of the systems he’s helped s ...

Microcredentials operate differently from traditional education, and they call for a more flexible, adaptable system to ...

AI meeting assistant market was valued at around USD 3.67 billion in 2024 and is projected to reach approximately USD 72.17 ...

Abstract: Higher digital payment volume and escalating fraud patterns create obstacles for the financial industry when detecting credit card fraud. Machine learning approaches enable the sector to ...

A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

The new capabilities are available starting today, with some features in beta or public preview.

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, ...

Researchers from IIT Madras and Ohio State University have developed an AI framework called PURE that can quickly generate drug-like molecules suitable for real-world synthesis. This innovation aims ...