Kucirkova: Instead of debating randomized controlled trials versus co-design, it’s time to completely rethink the way these tools are assessed.

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...

This initiative is designed to develop fluency in key mathematical skills ...

Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, ...

Effective drug discovery and development hinge on high-quality data. Implementing FAIR principles enhances data usability and ...

An organisation set up to distribute academic research to teachers gets off on the wrong foot, and stays there ...

Traditional learning and development isn't going to cut it anymore. A deeper shift is needed that changes what it means to ...

At Carnegie Mellon, women in the sciences contribute to advancement and innovations at the forefront of discovery, while lifting each other along the way.

Given the near-constant technological advancements in AI, potential AI policy updates, and regulatory changes, flexible AI ...

In a bid to explore MAX phases with experimental significance across a significantly broader combinatorial space, the ...

The concern over IITs’ outdated curriculum is not new. Critics argue that the heavy emphasis on theory leaves graduates unprepared for modern job roles that demand hands-on experience in AI, data ...

Learn strategies for breaking bad habits and building positive ones that stick, based on cutting-edge research in ...