Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

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The launch of Wenxin Large Model X1.1 is based on further optimizations of the Wenxin 4.5 architecture, employing an iterative mixed reinforcement learning framework that significantly enhances the ...

At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more ...

Detailed price information for Coreweave Inc Cl A (CRWV-Q) from The Globe and Mail including charting and trades.

Nvidia has acknowledged that its AI models do not instinctively grasp common sense—such as knowing that birds cannot fly backwards or that ice melts into water—and has adopted an unusual remedy: ...

Ultimately, it generates differentiated temperature control instructions using a PID control algorithm and introduces Q-learning reinforcement learning to dynamically adjust control parameters, ...

Abstract: This study explores optimizing the Traveling Salesman Problem (TSP) using Q-Learning reinforcement learning. The proposed method builds a Q-table to learn the optimal path and employs ...

Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...