AI-Generated Medical Advice—GPT and Beyond
This Viewpoint describes medical applications of generative pretrained transformers (GPTs) and related artificial intelligence (AI) technologies and considers whether new forms of regulation are necessary …
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This Viewpoint describes medical applications of generative pretrained transformers (GPTs) and related artificial intelligence (AI) technologies and considers whether new forms of regulation are necessary …
In this intellectual work, the clinical and educational aspects of dentistry were confronted with practical applications of artificial intelligence (AI). The aim was to provide …
Abstract A direct method for the computation of polynomial conservation laws of polynomial systems of nonlinear partial differential equations (PDEs) in multi‐dimensions is presented. The …
This article takes a critical look at Machine Translation of legal text, especially global legislation, through the discussion of Global-Regulation, a state of the art …
arXiv:2602.18494v1 Announce Type: new Abstract: A dominant paradigm in visual intelligence treats semantics as a static property of latent representations, assuming that meaning can be …
arXiv:2602.18582v1 Announce Type: new Abstract: When training artificial intelligence (AI) to perform tasks, humans often care not only about whether a task is completed but …
arXiv:2602.18607v1 Announce Type: new Abstract: In CAS adaptation, a challenge is to define the dynamic architecture of the system and changes in its behavior. Implementation-wise, …
arXiv:2602.18640v1 Announce Type: new Abstract: Modern large-scale ranking systems operate within a sophisticated landscape of competing objectives, operational constraints, and evolving product requirements. Progress in …
arXiv:2602.18671v1 Announce Type: new Abstract: We reinterpret the final Large Language Model (LLM) softmax classifier as an Energy-Based Model (EBM), decomposing the sequence-to-sequence probability chain …
arXiv:2602.18710v1 Announce Type: new Abstract: The conclusions of empirical research depend not only on data but on a sequence of analytic decisions that published results …
arXiv:2602.18724v1 Announce Type: new Abstract: Accelerating exploration in visual reinforcement learning under sparse rewards remains challenging due to the substantial task-irrelevant variations. Despite advances in …
arXiv:2602.18731v1 Announce Type: new Abstract: Chart summarization is crucial for enhancing data accessibility and the efficient consumption of information. However, existing methods, including those with …