(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...

Unlike typical AI systems that thrive on large, fast-evolving datasets, agriculture presents unique constraints. Plant growth ...

Undergraduates at CMU are seeking to create technical solutions to improve everyday living for those diagnosed with disabilities, and expanded understanding of education, childhood development and ...

One thing they are still pretty bad at though is walking a straight line without looking like they are moments away from ...

Physicists have used a cutting-edge quantum computer to simulate a complex particle theory in two dimensions. Unlike ...

Despite consistent improvements in glycemic outcomes across simulations, real-world adoption is lagging. The study finds that ...

Figure uses reinforcement learning to achieve fluid, human-like walking in its robots, seamlessly transferring simulations to ...

Figure's AI-powered controller teaches its humanoid robots to walk more like a human, with subtle improvements in gait and ...

Q4 2024 Results Conference Call March 25, 2025 8:00 AM ETCompany ParticipantsGeorge Shao - Head of Capital Markets & ...

Neurobehavioral data combined with computational models shows the superiority of active inference models in explaining human decisions under uncertainty.

He created a model to represent ... Tiffany Han simulated foldable robots. Her project involves simulating foldable robots in a physics environment, which aligns well with her computer science ...

Boston Dynamics' Atlas robot has mastered breakdancing and gymnastics using motion capture and reinforcement learning in the ...