By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap ...
For companies, personalization promises higher engagement, stronger loyalty, and more efficient marketing. But as technology ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...
A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...
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Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...
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Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...
A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...
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