The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.

Overview: Africa is fast becoming one of the top regions worldwide in machine learning, especially in developing new ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

SOLVE, a leading provider of pre-trade data and predictive pricing for fixed income securities markets, today announced the ...

Profile of Kannan Srinivasan, expert in secure architectures, AI-driven cybersecurity, and scalable cloud ecosystems with 20+ ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

A robot built by Sony AI is rapidly learning how to beat the world's very best table tennis players ...