In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...

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

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...