Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...

Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) have built a ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...

This guide breaks down every type of casino slot machine symbol—standard, wild, scatter, and bonus—so players can understand how each one works and how it impacts winning potential. 21+ and present in ...

In the first article of this series, we introduced the idea of Quantum Machine Learning (QML), explained how quantum computing differs from classical computing and why researchers believe the ...

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...

Ralstonia solanacearum in a potato plant. The bacterium destroys the vascular system in plants, causing them to succumb to wilt disease. (Credit: Amilcar Sanchez) Scientists at the University of ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...