Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...
DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability. The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that ...
Abstract: The success of deep learning (DL) is often achieved at the expense of large model sizes and high computational complexity during both training and post-training inferences, making it ...
Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
What if artificial intelligence could not only complete tasks but also manage them over weeks, months, or even years with near-perfect precision? Enter Deep Agents, a new evolution in AI designed to ...
Marc Hudson was employed as a post-doctoral researcher on two occasions on projects funded by the UKRI-funded Industrial Decarbonisation Research and Innovation Centre. When Donald Trump recently ...
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