ZDNET sat down with Andrew Ng at AI Dev 25 in New York to talk about developer futures, responsible AI, and why AGI is overhyped.

Second-guessing the data you'll need for future AI initiatives might seem like an intractable challenge, but there are some crucial things you can do to prepare.

Drift in data and concept, evolving edge cases, and emerging phenomena can undermine the correlations that AI classifiers rely on. In this podcast, SEI researchers discuss a new tool to help improve ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

For years, AI in drug discovery has been held back by a deceptively simple problem: the data isn’t good enough. Mountains of sequencing, pooled perturbation studies, and those mixed-cell experiments ...

Generative AI has emerged as a transformative technology in robotics, offering powerful capabilities for synthesizing data that supports learning, planning, ...

Fridays are the day office workers don't show up, and a San Francisco bar owner says it is hurting downtown businesses. Here's what you need to know this week about AI in the Bay Area. The bank's CEO ...

How is knowing about the G20 declaration relevant to the UPSC exam? What significance do topics like the four labour codes, ...