Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Head over to our on-demand library to view sessions from VB Transform 2023. Register Here In reinforcement learning, the goal generally is to spur an AI-driven agent to complete tasks via systems of ...
(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...
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