Results 81 to 90 of about 34,912 (272)

Text Mining of CVD Synthesis Recipes for 2D Materials

Advanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu, Richard A. Chen, Aijia Yao, Meng‐Chi Chen, Ji‐Hoon Park, Tianyi Zhang, Xudong Zheng, Nannan Mao, Jiangtao Wang, Zhien Wang, Tomás Palacios, Jing Kong   +11 more
wiley   +1 more source

Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews

Journal of Medical Internet Research
BackgroundThe screening process for systematic reviews is resource-intensive. Although previous machine learning solutions have reported reductions in workload, they risked excluding relevant papers.
Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki, Taku Maruki, Masahiro Takeshima, Yoshikazu Takaesu   +5 more
doaj   +1 more source

GPT-3 for Decision Logic Modeling

, 2023
sponsorship: This research received funding from the Flemish Government under the “Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen” programme.
Goossens, Alexandre, Vandevelde, Simon, Vanthienen, Jan, Vennekens, Joost   +3 more
openaire   +1 more source

Efficacy and Safety Assessment of 5‐Fluorouracil, Irinotecan and Oxaliplatin‐Loaded Implants in Mouse and Pig Models for Pancreatic Cancer Therapy

Advanced Materials, EarlyView.
A novel FIRINOX‐loaded implant demonstrates controlled drug release, and potent therapeutic efficacy in pancreatic ductal adenocarcinoma mouse models with safety confirmed in a large‐animal pre‐clinical model. This innovative drug delivery platform offers a promising new treatment approach for non‐resectable, treatment‐resistant pancreatic cancer ...
Samantha J. Wade, Ashna A. Kumar, Samuel O. Nitschke, Paul Joyce, Elahe Minaei, Stephanie E. Reuter Lange, Chelsea Penney, Holly Warren, Ruby Shepherd, Jeremy N. Dinoro, Gordon G. Wallace, Anthony Dosseto, Sameera Ansar, Naila Islam, Alistair Lochhead, George Sharbeen, Phoebe A. Phillips, Morteza Aghmesheh, Wayne J. Hawthorne, Kara L. Vine‐Perrow   +19 more
wiley   +1 more source

Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study

JMIR Medical Education
BackgroundChatGPT and language learning models have gained attention recently for their ability to answer questions on various examinations across various disciplines.
Firas Haddad, Joanna S Saade
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Limits and risks of GPT-3 applications

, 2022
Limits and risks of GPT-3 applications Recent GPT-3 applications have fed new optimism in AI research. To explore limits and risks, we investigated how far we can get in developing a so-called digital replica of Daniel Dennett, generating text outputs from a large language model trained on Dennett’s philosophical writing.
Strasser, Anna, Crosby, Matthew, Schwitzgebel, Eric   +2 more
openaire   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source