Results 81 to 90 of about 89,825 (246)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Evaluating Large Language Models’ Responses to Common Queries on Retinal Surgery: Readability and Accuracy Analysis

Cyprus Journal of Medical Sciences
BACKGROUND/AIMS: Large language models (LLMs) such as ChatGPT-4o mini, ChatGPT-4o, Gemini 1.5 Pro and Microsoft Copilot play an important role in improving health literacy and supporting patient decision making.
Erkan Duman, Aydın Maçin, Ayşe Ergin
doaj   +1 more source

LLM Critics Help Catch LLM Bugs

CoRR
Reinforcement learning from human feedback (RLHF) is fundamentally limited by the capacity of humans to correctly evaluate model output. To improve human evaluation ability and overcome that limitation this work trains "critic" models that help humans to more accurately evaluate model-written code. These critics are themselves LLMs trained with RLHF to
Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe, Evgenia Nitishinskaya, Maja Trebacz, Jan Leike   +5 more
openaire   +3 more sources

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Implementation of RAG in Jambi Cultural Information Question Answering System Using Qwen2.5-7B

Journal of Applied Informatics and Computing
Large Language Models (LLMs) are inherently closed-book, making them prone to hallucination when answering domain-specific queries with limited training data, such as local culture.
Devit Saputra, Uung Ungkawa
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity

Complex Systems Informatics and Modeling Quarterly
The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”.
Małgorzata Pańkowska, Erika Nazaruka
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Research Applications Using LLMs

The Artificial Intelligence (AI) landscape looks entirely different today compared to a year and half ago thanks to the release and rapid adoption of Large Language Models (LLMs).
Godwin, Anna, M.S.
core   +1 more source

The Conundrum of LLMs

Communications of the ACM
With LLMs, the goods are really good and the bads are really bad.
openaire   +1 more source