Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with synthetic content show it most clearly. We’re training AI on AI output and acting ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering [email protected] Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

It’s not about bad execution, but it boils down to thinking alignment. This happens when we use small tools for big problems, big tools for small problems, then we wonder why everyone is tired and ...

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

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

Next time you fly and have to land at Dulles, just north of Chantilly, Virginia, you can see with your own eyes the epic sprawl of data centers driving so much consternation amongst Virginians. It’s ...

Uber has more than 20 autonomous vehicle partners, and they all want one thing: data. So the company says it’s going to make that available through a new division called Uber AV Labs. Despite the name ...