Every time we speak, we're improvising. "Humans possess a remarkable ability to talk about almost anything, sometimes putting ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Machine learning to identify the factors that may determine the age of onset of Huntington’s disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Urine-based aging clocks In the study, " A urinary microRNA aging clock accurately predicts biological age," published in npj Aging, researchers used machine learning to develop and validate a urinary ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...
Abstract: Deep learning (DL) includes various architectures, such as deep neural networks (DNNs) and convolutional neural networks (CNNs). DL is very powerful and flexible for non-tabular ...
We propose Tree-GRPO, adopting a tree-search rollout strategy in place of independent chain-based rollouts for LLM agent RL. Based on ReAct step-level nodes, Tree-GRPO carries out rollout sampling ...
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