With the rising number of mobile users and the large set of critical applications, such as Internet of Things, Smart Grid, and Smart Cities, it is fundamental to wisely and efficiently allocate the ...

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...

An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions. An innovative bimanual robot displays tactile sensitivity close to human-level ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

Advancements in 3D Animation and Visualization Enhanced Graphical Realism with NVIDIA Omniverse Integration It’s getting ...

Slick, viral videos from Boston Dynamics are impressive but teaching a robot to walk by itself is a lot harder. A pair of robot legs called Cassie has been taught to ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...