Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Imagine arriving at a busy location with people moving around and a multitude of visual and other sensory cues vying for your attention. How does the brain integrate such floods of sensory information ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Meta is weighing a facial recognition add-on for smart glasses; the feature is called Name Tag, raising stalking and data ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Instead of being force fed playlists by the algorithm, you can now try and make it work for you ...

In the hours after Mexican drug lord "El Mencho’s" killing by the military, his Jalisco New Generation Cartel responded by ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

The feature, called "Dear Algo," lets Threads users personalize what content they see by publicly posting an AI prompt.