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 ...

Nimble uses AI agents to search the web, verify and validate the results, and then clean and structure the information into neat tables that can then be queried like a database.

Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

War games study finds top AI models (OpenAI, Google, Anthropic) chose nuclear escalation 95% of the time—what it means for AI ...

Investigators in the Nancy Guthrie case have turned to genetic genealogy as they try to make the most of potential DNA ...

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

We’ve blown past the Turing test, but "indistinguishable" isn’t "equivalent." Psychology must continue to learn from people, ...

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...

Discover the dynamic relationship between money supply and GDP, and how they influence economic growth, inflation, and financial stability in our detailed analysis.

Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ, biological ...

The EU general data protection regulation (GDPR) is the strongest privacy and security law in the world. This regulation updated and modernised the principles of the 1995 data protection directive. It ...