Results 171 to 180 of about 804,947 (306)

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Author Correction: Sex differences in auditory processing vary across estrous cycle

Scientific Reports, 2021
Jennifer Krizman, Elena K. Rotondo, Trent Nicol, Nina Kraus, Kasia M. Bieszczad   +4 more
doaj   +1 more source

Thalamocortical regulation of prefrontal stability enables abstract rule generalization. [PDF]

Sci Adv
Wang Z, Liu J, Liu H, Li M, Liu Z, Zheng B, Zhao Y, Zhang J, Yu L, Xu J.   +9 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Early life visceral stress induces auditory brainstem sensitization and cochlear proteomic alterations in a rat model of irritable bowel syndrome. [PDF]

Neurobiol Stress
Zhang LY, Li XL, Jing YY, Yu LS.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Evidence for temporal-coherence-based segregation of complex auditory scenes in the newborn human brain. [PDF]

Front Hum Neurosci
Polver S, Kovács P, Háden GP, Sziller I, Winkler I, Tóth B.   +5 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

A new experimental method for evaluating the effectiveness of auditory signals under realistic background noise conditions: A randomized controlled pilot study. [PDF]

PLoS One
Katagiri M, Nakamoto I, Uiji S, Wakamura T.   +3 more
europepmc   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source