Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
Researchers at University of California, Berkeley, led by PhD candidate J. Pan, have achieved a significant milestone in artificial intelligence (AI). By replicating key aspects of DeepSeek R1’s ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...
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 ...
Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...
Ever since DeepSeek burst onto the scene in January, momentum has grown around open source Chinese artificial intelligence models. Some researchers are pushing for an even more open approach to ...
Have you ever wished AI could truly understand the complexities of your field—not just replicate data but reason through intricate, domain-specific challenges? Whether you’re a researcher analyzing ...
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