AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

For organizations that regularly respond to RFPs, the cost of poor prioritization is steep: wasted hours, strained teams and ...

Regardless of how or where someone was raised, if they were not named "intelligent" or "genius" at a formative age, they may ...

A new framework argues that human language did not arise from a single evolutionary leap but from the convergence of many biological abilities and cultural processes.

This mass automation means the traditional entry-level job of the BPO agent is rapidly disappearing, but it is simultaneously creating a new, higher-skilled role focused on emotional intelligence, ...

Gary Marcus argues today’s AI sounds smart but lacks real understanding, and says true progress needs human-like reasoning.

Stanford scientist Fei-Fei Li talks about teaching machines to see as humans do, the US-China AI arms race, and what worries ...

The significance is structural: IBM is not eliminating “underperforming units” but dismantling entire human layers in favor ...

This Thanksgiving, we give thanks to the students who share their stories—and their journeys—with us and talk with them about what they’re thankful for. Their experiences remind us how powerful ...

The American right has been having a heated, high-stakes debate about the appeal of antisemitic ideas among younger ...

Anagh Anagh, Vice President - Investment, Accel, feels that despite the boom in AI across sectors, great ventures still hinge ...