AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

The MIT xPRO Driving Innovation with Generative AI program prepares students for industry employment through its practical training in Generative AI and neural ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Researchers developed a machine-learning-assisted approach to improve micro-electro-discharge machining (µ-EDM) of the ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Driving involves reading minds. You can’t simply treat other drivers as objects. If you want to be a safe and effective ...

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

Multiverse Computing SL, a startup with technology that reduces the hardware footprint of artificial intelligence models, is reportedly raising new capital. Sources told Bloomberg today the Spanish ...

Here at the Bank of America U.S. Financial Services Conference. This session is Hartford Insurance. We're really blessed to ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.