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AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.
Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...
Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.
Overall, the success of DeepDive not only enhances the intelligence level of deep search agents but also lays a solid foundation for future AI-driven information retrieval. With continuous ...
A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...
In the new wave of intelligent control technology, Tianjin Heat Company applied for a patent in June 2025 for an innovation titled "Intelligent Heating Control System Based on Digital Twin and Deep ...
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