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The landscape of ground-based gamma-ray astronomy is drastically changing with the perspective of the Cherenkov Telescope Array (CTA) composed of more than 100 Cherenkov telescopes. For the first time in this energy domain, CTA will be…

Instrumentation and Methods for Astrophysics · Physics 2017-11-22 Mathieu Servillat , Catherine Boisson , Julien Lefaucheur , Johan Brégeon , Michèle Sanguillon , Jose-Luis Contreras

Creating personalized and adaptable conversational AI remains a key challenge. This paper introduces a Continuous Learning Conversational AI (CLCA) approach, implemented using A2C reinforcement learning, to move beyond static Large Language…

Artificial Intelligence · Computer Science 2025-02-19 Nandakishor M , Anjali M

The Cherenkov Telescope Array Observatory (CTAO) is a next-generation facility for ground-based very high energy gamma ray astronomy. CTAO will be operated as an open observatory. With two sites, in the northern and southern hemispheres,…

Instrumentation and Methods for Astrophysics · Physics 2023-05-23 Werner Hofmann , Roberta Zanin

In computational biophysics, where molecular data is expanding rapidly and system complexity is increasing exponentially, large language models (LLMs) and agent-based systems are fundamentally reshaping the field. This perspective article…

Managing scan protocols in Computed Tomography (CT), which includes adjusting acquisition parameters or configuring reconstructions, as well as selecting postprocessing tools in a patient-specific manner, is time-consuming and requires…

Artificial Intelligence · Computer Science 2025-09-25 Xingjian Kang , Linda Vorberg , Andreas Maier , Alexander Katzmann , Oliver Taubmann

Large language models (LLMs) have achieved superior performance in powering text-based AI agents, endowing them with decision-making and reasoning abilities akin to humans. Concurrently, there is an emerging research trend focused on…

Computer Vision and Pattern Recognition · Computer Science 2024-02-26 Junlin Xie , Zhihong Chen , Ruifei Zhang , Xiang Wan , Guanbin Li

Thematic analysis (TA) is a widely used qualitative approach for uncovering latent meanings in unstructured text data. TA provides valuable insights in healthcare but is resource-intensive. Large Language Models (LLMs) have been introduced…

Human-Computer Interaction · Computer Science 2025-03-27 Huimin Xu , Seungjun Yi , Terence Lim , Jiawei Xu , Andrew Well , Carlos Mery , Aidong Zhang , Yuji Zhang , Heng Ji , Keshav Pingali , Yan Leng , Ying Ding

Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human planning and reasoning. This paper explores the…

Software Engineering · Computer Science 2025-07-21 Junda He , Christoph Treude , David Lo

The emergence of Large Language Models (LLMs) has significantly advanced solutions across various domains, from political science to software development. However, these models are constrained by their training data, which is static and…

Artificial Intelligence · Computer Science 2025-09-16 Aadil Gani Ganie

Large Language Model (LLM)-based agentic systems have shown strong capabilities across various tasks. However, existing multi-agent frameworks often rely on static or task-level workflows, which either over-process simple queries or…

Artificial Intelligence · Computer Science 2026-02-16 Jinwei Su , Qizhen Lan , Yinghui Xia , Lifan Sun , Weiyou Tian , Tianyu Shi , Xinyuan Song , Lewei He , Yang Jingsong

The rapid advancement of Large Language Models (LLMs) has marked a significant breakthrough in Artificial Intelligence (AI), ushering in a new era of Human-centered Artificial Intelligence (HAI). HAI aims to better serve human welfare and…

Robotics · Computer Science 2025-10-29 Wenbin Ding , Jun Chen , Mingjia Chen , Fei Xie , Qi Mao , Philip Dames

To accelerate mechanical design and enhance design quality and innovation, we present a Multidisciplinary Design and Optimization (MDO) Agent driven by Large Language Models (LLMs). The agent semi-automates the end-to-end workflow by…

Human-Computer Interaction · Computer Science 2025-11-25 Bingkun Guo , Wentian Li , Xiaojian Liu , Jiaqi Luo , Zibin Yu , Dalong Dong , Shuyou Zhang , Yiming Zhang

The Cherenkov Telescope Array (CTA) is the next generation gamma-ray observatory. CTA will incorporate about 100 imaging atmospheric Cherenkov telescopes (IACTs) at a southern site, and about 20 in the north. Previous IACT experiments have…

Instrumentation and Methods for Astrophysics · Physics 2020-05-22 Iftach Sadeh , Igor Oya , Joseph Schwarz , Emmanuel Pietriga , Dejan Dezman

With the recent development of natural language generation models - termed as large language models (LLMs) - a potential use case has opened up to improve the way that humans interact with robot assistants. These LLMs should be able to…

Multiagent Systems · Computer Science 2024-11-27 Mitchell Rosser , Marc. G Carmichael

The pursuit of human-level artificial intelligence (AI) has significantly advanced the development of autonomous agents and Large Language Models (LLMs). LLMs are now widely utilized as decision-making agents for their ability to interpret…

The Cherenkov Telescope Array Observatory (CTAO) represents the next-generation gamma-ray observatory and will operate for several decades. It will be particularly suited to analyse transients and variable phenomena, which will trigger…

Large Language Models (LLMs), AI models trained on massive text corpora with remarkable language understanding and generation capabilities, are transforming the field of Autonomous Driving (AD). As AD systems evolve from rule-based and…

Artificial Intelligence · Computer Science 2024-07-30 Yun Li , Kai Katsumata , Ehsan Javanmardi , Manabu Tsukada

The Cherenkov Telescope Array (CTA) is the next generation of Imaging Atmospheric Cherenkov Telescopes. It would reach unprecedented sensitivity and energy resolution in very-high-energy gamma-ray astronomy. In order to reach these goals,…

Instrumentation and Methods for Astrophysics · Physics 2019-08-15 M. Doro , M. Gaug , J. Pallotta , G. Vasileiadis , O. Blanch , F. Chouza , R. D'Elia , A. Etchegoyen , Ll. Font , D. Garrido , F. Gonzales , A. López-Oramas , M. Martínez , L. Otero , E. Quel , P. Ristori

AI agents powered by Large Language Models (LLMs) have made significant advances, enabling them to assist humans in diverse complex tasks and leading to a revolution in human-AI coordination. LLM-powered agents typically require invoking…

Artificial Intelligence · Computer Science 2024-01-10 Jijia Liu , Chao Yu , Jiaxuan Gao , Yuqing Xie , Qingmin Liao , Yi Wu , Yu Wang

We present Experiment Automation Agents (EAA), a vision-language-model-driven agentic system designed to automate complex experimental microscopy workflows. EAA integrates multimodal reasoning, tool-augmented action, and optional long-term…

Artificial Intelligence · Computer Science 2026-02-18 Ming Du , Yanqi Luo , Srutarshi Banerjee , Michael Wojcik , Jelena Popovic , Mathew J. Cherukara