Abstract: In this research, we introduce a deep reinforcement learning-based control approach to address the intricate challenge of the robotic pre-grasping phase under microgravity conditions.

Senate Judiciary Committee Chair Chuck Grassley is seeking answers on how the FBI determines code names for investigations ...

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...

AI might know where you're going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and ...

Matt Mazurek thought it might be a scam or an over-eager recruit flouting the rules. Tom Zwirecki figured his coach and a few teammates were messing with him.

Survey of 600 teachers finds routine classroom groupings linked to fears of pupil isolation, bullying and exclusion.

To make it easier for children with asthma to receive care at school, a new study will assess the impact of making the ...

Bill Maher and Tim Allen criticized DEI practices in writing shows and sitcoms during a podcast discussion, arguing diversity ...

Usually, when I visit an exhibit, I expect to feel challenged, impressed, or, on rare occasions, disappointed. I did not ...

Grief doesn’t stay home when we return to work. Rethinking performance pressure, honesty, and healthy ways to carry loss at ...

With the stated goal of “protecting American workers,” the Trump administration has imposed a new visa process that will affect thousands of foreign nationals.

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.