Results 191 to 200 of about 1,527,016 (289)

Marketing Education in the Age of Generative AI: Preparing Graduates for Human–AI Collaboration

This white paper was developed by the Academy of Marketing Marketing Education Special Interest Group to provide strategic guidance for marketing educators, programme leaders and professional bodies navigating the integration of Generative AI in ...
Hsin-Hsuan, M., Marshall, K., Canhoto, A., Gonsalves,C., Quamina, L., Khusainova, R., Vuković, S., Baines, P., Clancy, C., Percy, S.   +9 more
core   +1 more source

Generative AI and Large Language Models in Rehabilitation: A Scoping Review. [PDF]

Life (Basel)
Cha SM.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

GenAI-Net: A generative AI framework for automated biomolecular network design. [PDF]

Sci Adv
Filo M, Rossi N, Fang Z, Khammash M.
europepmc   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Editorial: Generative AI and large language models in medicine: applications, challenges, and opportunities. [PDF]

Front Digit Health
Sufi F, Mahmoud SS.
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Generative AI for mental health: promise, risk and the path forward. [PDF]

BMJ Digit Health Ai
Brown M, Herz N.
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Generative AI for controllable protein sequence design: A survey. [PDF]

NPJ Drug Discov
Zhu Y, Kong Z, Wu J, Yin M, Liu W, Han Y, Xu H, Hsieh CY, Hou T, Wu J.   +9 more
europepmc   +1 more source