It's been 10 years since Go champion Lee Sedol lost to DeepMind's AlphaGo. Has the technology lived up to its potential?

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Blending logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence. Now, however, the computer-science community is pushing hard ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

Ericsson offered a measured view of AI’s impact on telecoms at MWC: fiber may lead the telco boom today, but AI will shift through the mid-cycle 5G evolution in AI-RAN.

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...

MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits in ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...

More than a billion people are now using artificial intelligence (AI) models regularly, for purposes ranging from work to advice about personal relationships. This trend began with the introduction of ...