A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. A new field promises ...

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 ...

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

Pioneering computer scientist named director of institute dedicated to harnessing the power of AI to translate data-driven ...

Well, nine years later, artificial intelligence in agriculture isn’t just for the scientists. A tool developed by the four ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

Not just an expert in automotive software, battery systems, and machine learning, but in high-temperature ultra-capacitors and space exploration from his time working on NASA's Venus explorer project.

Outline the architectural components of a typical central processing unit (CPU) that would be essential in executing the machine code instructions of these complex AI models Application, Design, and ...

Cleveland State University launches a dual bachelor's program in Physics and Computer Science to meet industry demand.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery and ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

In five years of writing for various audiences, Uche has learned to simplify career-focused content for ambitious learners regardless of their qualifications. Her work is published in notable ...