Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...
AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
SANTA CLARA, Calif., September 20, 2005 – Legend Design Technology, Inc. today announced that CharFlo-MonteCarlo! as a simulation manager for multiprocessing statistical circuit simulation has been ...
eliminating the need for primary circuit pipework, with the intention of enhancing safety and reliability. This simulator is developed by Tecnatom in 2017. Details on the currently available SMR ...
OBJECTIVE: You will wind (and test) your own inductor, which you will also use in the AM radio project in a subsequent lab. You will also investigate the properties of capacitors by making a simple ...
Abstract: We present a framework for design technology co-optimization (DTCO) of the main memory system with one transistor-one capacitor (1T1C) ferroelectric random access memory (FERAM) as an ...
Drone RL Navigation - 3D Path Visualization with Reinforcement Learning A ROS package implementing 3D path visualization and reinforcement learning-based control algorithms for autonomous drone ...
Abstract: Despite the continuous advancements in size and robustness of real quantum devices, reliable large-scale quantum computers are not yet available. Hence, classical simulation of quantum ...
SubtreeLU is a high-performance parallel sparse LU factorization algorithm for SPICE-like circuit simulation. It is designed to be used in circuit simulation software, particularly for solving large ...
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