Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Explore robotics in sports, the games most suited for robots, and how younger fans are driving curiosity around new competition formats.

Though automation reduces the number of jobs in the auto industry, there are still plenty of human workers needed to oversee ...

Roboticist Karen Liu combines machine learning and animation to teach robots to move and respond more like humans.

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

Meet the deeptech startups that are converging AI and robotics to tackle real-world problems across industries, from ...

What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF grants to design responsive robots to assist people with paralysis and ...

A University of Chicago study suggests robots could offer a new kind of support to help kids eliminate anxiety about reading ...

Some of the courses include not only programming but also data analysis, machine learning, robotics and AI Tools. Practical ...

For many people living with neurodegenerative diseases or recovering from stroke, daily routines can become exhausting ...

AutoBot platform combines machine learning and robotics to rapidly find the best ways to make advanced materials.

Women are rapidly making their mark in deep-tech education, with enrolment climbing to 17 percent in 2025. AI and Machine ...