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

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 ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Ellen Galinsky is president of the research nonprofit Families and Work Institute in Palisades, N.Y., served as co-lead of the AASA Summit, and is the author of The Breakthrough Years: A New ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.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