SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
Some researchers believe the next breakthrough in AI design will come not from scraping the web or purchasing user data, but ...
AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session. The reinforcement learning market has exploded, with enterprises ...
AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the industry behind.
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
Judge Builder addresses what Pallavi Koppol, a Databricks research scientist who led the development, calls the "Ouroboros problem." An Ouroboros is an ancient symbol that depicts a snake eating its ...
With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning.
They’re growing miniature 3D brains from stem cells. These aren’t your fictional mad scientists’ brains in a vat; they’re ...
Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing large sets of data.
For Chaikesh Chouragade, an artificial intelligence research scientist at ZZAZZ AI Solutions, this question has guided a career at the intersection of economics and technology.
Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...
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