Experimental results show that the models constructed by the proposed method not only maintain geological semantic consistency and coherence but also accurately characterize the spatial distribution ...
Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.
ABSTRACT: Enterprise application integration encounters substantial hurdles, particularly in intricate contexts that require elevated scalability and speed. Transactional applications directly ...
Ownership of companion animals is rising across the globe, and the US is no exception. As of 2024, 66% of US households—about 86.9 million homes—owned a pet. From companionship to emotional support, ...
Abstract: Traditional semi-airborne transient electromagnetic (TEM) methods rely on a single source to generate electromagnetic (EM) fields, which only couple with geological bodies from one direction ...
Researchers have developed a new method that allows users to redesign process workflows by simply chatting with an AI. Dubbed "Conversational Process Model Redesign" (CPD), the technique combines ...
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