Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Artificial intelligence together with the need to manage the enormous volume, velocity, and variety of data around us is critical to interacting with our information-based society. Our AI and 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.

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

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

In recent years, the U.S. Army has been increasingly vocal about the strategic importance of artificial intelligence and machine learning in modern military operations. Senior officials emphasize that ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

Johns Hopkins University presented revised plans for its new?Data Science and Artificial Intelligence?(DSAI) facility to Baltimore's Urban Planning Architecture Advisory Panel (UDAAP) on Thursday, ...

An illustration of NASA's Cassini spacecraft flying through a plume above the surface of Saturn's moon Enceladus. Credit: NASA/JPL-Caltech As maintaining leadership in space is a primary goal, ...

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.