A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few under-the-radar risers, here's what he found.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Work management platform Asana is warning users of its new Model Context Protocol (MCP) feature that a flaw in its implementation potentially led to data exposure from their instances to other ...

Data Centers Talen, Amazon Launch $18B Nuclear PPA—A Grid-Connected IPP Model for the Data Center Era By Sonal Patel Thursday, June 12, 2025 SHARE: ...

Crypto Daybook Americas: Bitcoin Options Point to Gains as Bullish Flow Builds Ahead of CPI Data Your day-ahead look for June 9, 2025 ...

Using multiparametric breast MRI data from three hospitals, the research team developed the MOME model to enable non-invasive malignancy classification, molecular subtyping, and neoadjuvant ...

In its lawsuit, Reddit said Anthropic had also declined to enter into a licensing agreement for data and had unjustly enriched itself at Reddit’s expense.

The company didn’t reveal the source of the data it used to train the model, but some AI researchers speculate that at least a portion came from Google’s Gemini family of AI.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Aurora, an AI foundation model revolutionizes weather and environmental forecasting with accuracy, speed and efficiency.

A data center builder, Prometheus Hyperscale, and a battery startup, XL Batteries, will deploy an organic flow battery at a US data center in Wyoming, starting with a small pilot in 2027.