Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

A complementary approach to AI aims to build tools that encourage collaboration rather than bypass human input.

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

There were some changes to the recently updated OWASP Top 10 list, including the addition of supply chain risks. But old ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Nearly every music streaming platform increasingly relies on artificial intelligence-driven algorithms. School of Media Arts and Studies Director Josh Antonuccio discusses AI's role in the age of ...

The Washington Post's controversial strategy establishes a foundation to build on, then adapts as it learns what works.

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

The intentionally cryptic posting trend has surged on TikTok and X, fueled by algorithms and a race for engagement.

Dynamic odds personalization shows how sportsbooks adjust markets and timing, affecting the betting experience without necessarily changing headline odds.