Every year, the hepatitis C virus affects more than 200 million across the world. Machine learning can drastically reduce ...

Exploring how artificial intelligence and machine learning are redefining security for the evolving Internet of Things ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in real ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Google rolled out similar measures for YouTube earlier this week, and now the company is experimenting with machine ...

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

Or to put it another way, doing machine learning is necessary, but not sufficient, to achieve the goals of AI, and Deep Learning is an approach to doing ML that may not be sufficient for all ML needs.

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Named Aeneas (after the mythical hero of Rome’s foundation epic), the system is a generative neural network designed to ...