Artificial intelligence (AI) for science has rapidly gained momentum at an extreme pace. Models trained on the scientific record are generating hypotheses and even running experiments in automated ...
Abstract: This paper proposes a hybrid algorithm combining reinforcement learning (RL) and a genetic algorithm (GA) for PDN decap optimization. The trained RL agent uses a graph convolutional neural ...
Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer ...
The convergence of AI, quantum computing, and biosciences is propelling the global healthcare industry into a new era - now ...
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AI learns to play the WORLDS HARDEST GAME even more levels
In this video, I use a genetic algorithm to train an AI to navigate more levels of the world's hardest game. Check out the ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...
Abstract: With the widespread adoption of delivery services and advancements in autonomous driving technology, route optimization problems have attracted significant attention. In particular, the ...
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