Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
Abstract: This study presents an innovative approach for optimizing real-time energy market trading strategies by integrating Proximal Policy Optimization (PPO) with Quantum Annealing (QA). The ...
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