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

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

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

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

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

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

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

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

Project CETI, you may recall, is the same group that recently released footage showing adult sperm whales collaborating as ...

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