As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google is ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

Polymer-based dielectrics are widely used in different electrical and electronic devices like capacitors, power transmission cables, and microchips. To adapt to different working conditions, a range ...

What prompted the MIT team to research and develop a nanoscale "flashlight"? Details on the metasurface that was designed to create the source-beam collimator. How a DNN, CNN, and machine learning ...

As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I ...

Many neural-network designers find they’re both pediatricians and geriatricians. Pediatricians because the health of neural networks taking their first steps in the world is in their hands.

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...