Results 141 to 150 of about 6,156,320 (380)

ChatGPT for good? On opportunities and challenges of large language models for education

Learning and Individual Differences, 2023
Enkelejda Kasneci, Kathrin Seßler, S. Küchemann, M. Bannert, Daryna Dementieva, F. Fischer, Urs Gasser, G. Groh, Stephan Günnemann, Eyke Hüllermeier, Stephan Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, J. Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, T. Seidel, Matthias Stadler, J. Weller, Jochen Kuhn, Gjergji Kasneci   +22 more
semanticscholar   +1 more source

Assessment of a medical physics educational program for science teachers

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar, Jeffrey Woollard, Lin Ding   +2 more
wiley   +1 more source

Understanding HTML with Large Language Models

, 2022
Large language models (LLMs) have shown exceptional performance on a variety of natural language tasks. Yet, their capabilities for HTML understanding -- i.e., parsing the raw HTML of a webpage, with applications to automation of web-based tasks ...
Chowdhery, Aakanksha, Faust, Aleksandra, Fiedel, Noah, Gur, Izzeddin, Huang, Austin, Miao, Yingjie, Nachum, Ofir, Narang, Sharan, Safdari, Mustafa   +8 more
core  

Design and validation of a novel dosimetry phantom for motion management audits

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton, Sabeena Beveridge, Nicholas Hardcastle, Silvio Malfitana, Janaka Madamperuma, Rick Franich   +5 more
wiley   +1 more source

An overview of large AI models and their applications

Visual Intelligence
In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim.
Xiaoguang Tu, Zhi He, Yi Huang, Zhi-Hao Zhang, Ming Yang, Jian Zhao   +5 more
doaj   +1 more source

Large language models and their applications in bioinformatics

Computational and Structural Biotechnology Journal
Recent advancements in Natural Language Processing (NLP) have been significantly driven by the development of Large Language Models (LLMs), representing a substantial leap in language-based technology capabilities. These models, built on sophisticated deep learning architectures, typically transformers, are characterized by billions of parameters and ...
Oluwafemi A. Sarumi, Dominik Heider
openaire   +3 more sources

A Python package for fast GPU‐based proton pencil beam dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya, Calin Reamy, Heng Li, Junghoon Lee, William T. Hrinivich   +4 more
wiley   +1 more source

The Art of Replication: Lifelike Avatars with Personalized Conversational Style

Robotics
This study presents an approach for developing digital avatars replicating individuals’ physical characteristics and communicative style, contributing to research on virtual interactions in the metaverse.
Michele Nasser, Giuseppe Fulvio Gaglio, Valeria Seidita, Antonio Chella   +3 more
doaj   +1 more source

HOLMS: Alternative Summary Evaluation with Large Language Models [PDF]

, 2020
Yassine Mrabet, Dina Demner‐Fushman
openalex   +1 more source

TRUSTLLM:Trustworthiness in Large Language Models [PDF]

Large language models (LLMs) have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs present many challenges, particularly in the realm of trustworthiness. This paper introduces TRUSTLLM, a
Backes, Michael, Bansal, Mohit, Cao, Yinzhi, Chang, Kai Wei, Chen, Pin Yu, Chen, Tianlong, Chen, Xun, Chen, Yong, Gao, Chujie, Gao, Jianfeng, Gong, Neil Zhenqiang, Gu, Quanquan, Han, Jiawei, He, Lifang, Huang, Furong, Huang, Lifu, Huang, Yixin, Huang, Yue, Jana, Suman, Ji, Heng, Ji, Shuiwang, Jiang, Meng, Kailkhura, Bhavya, Kellis, Manolis, Li, Chunyuan, Li, Xiang, Li, Xiner, Li, Yuan, Liu, Hao, Liu, Jian, Liu, Tianming, Liu, Yan, Liu, Yixin, Liu, Zhengliang, Lyu, Wenhan, Mitchell, John C., Pei, Jian, Shu, Kai, Sun, Hanchi, Sun, Lichao, Tang, Jiliang, Vanschoren, Joaquin, Vidgen, Bertie, Wang, Haoran, Wang, Hongyi, Wang, Jindong, Wang, William, Wang, Xiao, Wang, Xuyu, Wang, Yijue, Wu, Siyuan, Xiao, Chaowei, Xie, Xing, Xing, Eric, Xiong, Caiming, Xu, Kaidi, Xu, Ran, Yao, Huaxiu, Ye, Yanfang, Ying, Rex, Yu, Philip S., Zhang, Huan, Zhang, Qihui, Zhang, Xiangliang, Zhang, Yixuan, Zhang, Zhikun, Zhao, Jieyu, Zhao, Yue, Zhou, Tianyi, Zitnik, Marinka, Zou, James   +70 more
core