Results 81 to 90 of about 98,573 (298)
Artificial intelligence and me: writing the editorial together with ChatGPT
Luciano Rossoni, Chat GPT
doaj +1 more source
Faculty assessment of generative AI’s impact on education and its associated risks
Introduction. Generative artificial intelligence (GenAI) offers new didactic opportunities, facilitating the shift from reproductive teaching methods to addressing problems of greater cognitive complexity.
E. A. Pospelova
doaj +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source
ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o [PDF]
Background Large language models such as ChatGPT hold promise as rapid “curbside consultation” tools in laboratory medicine. However, their ability to generate consistent and clinically reliable reference intervals—particularly in the absence of contextual clinical information—remains uncertain.
Meyer, Annika +2 more
openaire +2 more sources
Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions [PDF]
Kosei Tomita,1 Takashi Nishida,2 Yoshiyuki Kitaguchi,3 Koji Kitazawa,4,* Masahiro Miyake5,* 1Department of Ophthalmology, Kawasaki Medical School, Okayama, Japan; 2Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department ...
Kitaguchi Y +4 more
core
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Dynamics of General Purpose Technologies in an Open Economy [PDF]
While the Helpman-Trajtenberg model is successful in explaining the macroeconomic cycle generated by GPT in the context of a closed economy, open-economy implications regarding GPT have received scant attention.
Chung, Jaiho, Hwang, Joon Ho
core
Research difference between GPT-2 and GPT-3
The field of natural language processing has witnessed significant advancements in recent years, with the advent of cutting-edge language models like GPT-2 and GPT-3.
Пономаренко, Д. Р.
core
The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun +27 more
wiley +1 more source
Background. Building upon previous research, this study conducts an exploration into Large Language Models (LLMs), with an emphasis on the fine-tuning and assessment of LLaMA-3.1 for instructional tasks. LLaMA-3.1, which is a new generation model and has
Bohdan Pavlyshenko, Ivan Bulka
doaj +1 more source

