A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer ...

Radio technosignature searches rely on machine learning detectors to shrink the candidate pool before a human looks at it.

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Producing alloys from recycled metals via secondary synthesis can markedly cut energy use, greenhouse-gas emissions, and dependence on scarce, strategically important elements relative to primary ...

An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from ...

What I do is like predicting how a pair of glasses will warp your vision before you ever put them on — except the consequences of getting it wrong aren’t a headache. They’re a failed emergency braking ...

Seems like it's got to be ML rather than actual AI. Still, working well with the control loops is going to be key. Click to expand... My PhD is in AI/ML, and I still can’t work out the distinction ...

CNN has tapped Chris Wiggins, who has served as chief data scientist at the New York Times for more than a decade, for a newly created role as head of machine learning and AI science. Wiggins’ hiring ...

Nvidia DLSS has been around since the RTX 2080 dropped back in 2018, but while it started as a way to use machine learning to upscale games, it's grown to be so much more than that. Now, 8 years after ...

Want to bookmark your favourite articles and stories to read or reference later? Start your Independent Membership today. Artificial intelligence has written novels, driven cars, and painted portraits ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Transfer learning is the reuse of a pre-trained model on a new problem. It’s popular in deep learning because it can train deep neural networks with comparatively little data. This is very useful in ...