A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

Sept 11 (Reuters) - China's Alibaba (9988.HK), opens new tab and Baidu (9888.HK), opens new tab have started using internally designed chips to train their AI models, partly replacing those made by ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

“The person of the therapist is the most important factor in effective psychotherapy.”—Norcross and Wampold, 2019 I am a diehard EMDR therapist, so when friends and family ask for therapist ...

Brooks Nader’s sisters staged an intervention for the model over her “concerning” use of weight loss drugs. In episode 7 of the siblings’ new reality series, “Love Thy Nader,” the “Dancing With the ...

“Seriously,” remarked Tarence Ray of the “Trillbillies” podcast in a post on X, “how is this guy supposed to get a fair trial at this point[?]” “Prison industrial complex meets fast fashion industrial ...

by Leonardo Uieda, Gelson Ferreira Souza-Junior, India Uppal, Vanderlei Coelho Oliveira Jr. This repository contains the data and source code used to produce the ...

Expectations are like elbows - stop it - everyone has them. When it comes to the Washington Commanders, it seems just about everybody has an opinion or assertion as to how good or bad they’ll be in ...