Explore how quantum-safe multi-party computation secures distributed AI datasets and Model Context Protocol (MCP) deployments against future quantum threats.

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

The Department of Energy's Oak Ridge National Laboratory has launched a novel robotic platform to rapidly analyze plant root systems as they grow, yielding AI-ready data to accelerate the development ...

The market is fixated on when Big Tech will generate economic value from the $400 billion-plus being poured into AI data center expansion annually. The market is missing the point.Monetization has ...

In recent years, the artificial intelligence (AI) landscape has shifted from quiet curiosity to relentless noise. Conference taglines, vendor solicitations, and slide decks all seem to begin with the ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Add Yahoo as a preferred source to see more of our stories on Google. Photo Credit: iStock Home solar is a proven safeguard against surging electricity rates. If the technology were widely installed, ...

Imagine one day a giant box appears on a former agricultural field. Inside the box is a seemingly endless array of computer servers – thousands of them. To sustain the servers, this giant box uses a ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...