Results 241 to 250 of about 2,243,395 (337)

Large language model-driven natural language interaction control framework for single-operator bimanual teleoperation. [PDF]

Front Robot AI
Fei H, Xue T, He Y, Lin S, Du G, Guo Y, Wang Z.   +6 more
europepmc   +1 more source

Mapping uncertainty using differentiable programming

AIChE Journal, EarlyView.
Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves, Carl D. Laird, Fernando V. Lima, John R. Kitchin   +3 more
wiley   +1 more source

The structure of spontaneous speech changes in Alzheimer's disease: Crosslingual evidence from English and Greek. [PDF]

PLoS One
Jiang H, Chen Z, Liu Y, Yang C, Yuan X, He R.   +5 more
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Cross-institutional dental electronic health record entity extraction via generative artificial intelligence and synthetic notes. [PDF]

JAMIA Open
Chuang YS, Lee CT, Lin GH, Brandon R, Jiang X, Walji MF, Tokede O.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Language Proficiency: How the Physician Data Initiative's Data Collection and Reporting Standard Impacts Graduate Medical Education. [PDF]

J Grad Med Educ
Ortega P, McDade W.
europepmc   +1 more source

New National Network of Experts (Japan Pelvic Exenteration Network: J‐PEN) Formed in a Bid to Improve Outcomes of Pelvic Exenteration in Japan

Annals of Gastroenterological Surgery, EarlyView.
Hideaki Yano, Alex Mirnezami, Masataka Ikeda, Kay Uehara, Shuichiro Matoba, Yuichiro Tsukada, Toshiki Mukai, Kei Kimura, Yudai Fukui, Naoyuki Toyota   +9 more
wiley   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research. [PDF]

Bioinformatics
Yang EW, Velazquez-Villarreal E.
europepmc   +1 more source