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 ...

Sales data shows low numbers for Tesla’s updated Model Y in the month of April as Tesla ramps up production of a refresh of its most popular vehicle.

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: ...

Master the art of impactful data visualization with these 10 tips to transform raw numbers into compelling visual stories. Data visuals that ...

VTX is an open-source molecular visualization software designed to overcome the scaling limitations of existing real-time molecular visualization software when handling massive molecular datasets. VTX ...

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 ...

The maturity model assessments are freely available to all financial institutions and can be taken here for the Retail Digital Sales & Service Maturity Model and here for the Business Banking ...

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.