Results 71 to 80 of about 52,931 (300)

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

New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology [PDF]

, 2022
Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer systems. NLP has recently been discussed in the mainstream media and the literature with the advent of Generative Pre ...
Ellershaw, Simon, Keane, Pearse A, Korot, Edward, Marie, Abdullah, Nath, Siddharth   +4 more
core  

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, 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

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

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

Применение генеративных нейросетей в журналистике: проблемы и перспективы

Динамика медиасистем, 2023
Применение искусственного интеллекта в журналистике (роботизированная журналистика) – тема резонансная и популярная в исследованиях. Современные алгоритмы в редакции способны выполнять некоторые функции авторов новостных и развлекательных текстов, дата ...
Василиса Бейненсон
doaj  

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

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

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

Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

JMIR Medical Education
BackgroundLarge language models (LLMs) have revolutionized natural language processing with their ability to generate human-like text through extensive training on large data sets.
Faiza Farhat, Beenish Moalla Chaudhry, Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen   +4 more
doaj   +1 more source