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Large language models (LLMs) present intriguing opportunities to enhance user interaction with traditional algorithms and tools in real-world applications. An advanced planning system (APS) is a sophisticated software that leverages…

Artificial Intelligence · Computer Science 2025-07-25 Timothy Tin Long Yu , Mahdi Mostajabdaveh , Jabo Serge Byusa , Rindra Ramamonjison , Giuseppe Carenini , Kun Mao , Zirui Zhou , Yong Zhang

Integration of artificial intelligence (AI) into life cycle assessment (LCA) has accelerated in recent years, with numerous studies successfully adapting machine learning algorithms to support various stages of LCA. Despite this rapid…

Artificial Intelligence · Computer Science 2026-02-27 Anastasija Mensikova , Donna M. Rizzo , Kathryn Hinkelman

Building agents, systems that perceive and act upon their environment with a degree of autonomy, has long been a focus of AI research. This pursuit has recently become vastly more practical with the emergence of large language models (LLMs)…

The continuous growth of the e-commerce industry attracts fraudsters who exploit stolen credit card details. Companies often investigate suspicious transactions in order to retain customer trust and address gaps in their fraud detection…

Cryptography and Security · Computer Science 2025-06-16 Shaun Shuster , Eyal Zaloof , Asaf Shabtai , Rami Puzis

The Cherenkov Telescope Array (CTA) is the next generation of ground-based very high energy gamma-ray instruments; the facility will be organized in two arrays, one for each hemisphere. The atmospheric calibration of the CTA telescopes is a…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 Laura Valore , Carla Aramo , Michele Doro , Marco Iarlori , Vincenzo Rizi , Aurelio Siro Tonachini , Piero Vallania

This paper introduces a Large Language Model (LLM)-based multi-agent framework designed to enhance anomaly detection within financial market data, tackling the longstanding challenge of manually verifying system-generated anomaly alerts.…

Risk Management · Quantitative Finance 2024-04-01 Taejin Park

As particle accelerators grow in complexity, traditional control methods face increasing challenges in achieving optimal performance. This paper envisions a paradigm shift: a decentralized multi-agent framework for accelerator control,…

Accelerator Physics · Physics 2025-09-04 Antonin Sulc , Thorsten Hellert , Raimund Kammering , Hayden Hoschouer , Jason St. John

The Cherenkov Telescope Array (CTA) is the next generation of Imaging Atmospheric Cherenkov Telescopes. It will reach a sensitivity and an energy resolution with no precendent in very high energy gamma-ray astronomy. In order to achieve…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 A. López-Oramas , O. Abril , O. Blanch Bigas , J. Boix , V. Da Deppo , M. Doro , L. Font , D. Garrido , M. Gaug , M. Martínez , G. Vasileiadis

The Cherenkov Telescope Array (CTA) is an international project for a next-generation ground-based gamma-ray observatory. CTA, conceived as an array of tens of imaging atmospheric Cherenkov telescopes, comprising small, medium and…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 T. Hassan , B. Humensky , D. Nieto , M. Wood

The Cherenkov Telescope Array (CTA) is an initiative to build the next generation, ground-based gamma-ray observatories. We present a prototype workspace developed at INAF that aims at providing innovative solutions for the CTA community.…

Instrumentation and Methods for Astrophysics · Physics 2016-04-01 Alessandro Costa , Eva Sciacca , Ugo Becciani , Piero Massimino , Simone Riggi , David Sanchez , Fabio Vitello

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential…

Machine Learning · Computer Science 2024-11-18 Mayk Caldas Ramos , Christopher J. Collison , Andrew D. White

In recent years, data science agents powered by Large Language Models (LLMs), known as "data agents," have shown significant potential to transform the traditional data analysis paradigm. This survey provides an overview of the evolution,…

Artificial Intelligence · Computer Science 2025-12-01 Maojun Sun , Ruijian Han , Binyan Jiang , Houduo Qi , Defeng Sun , Yancheng Yuan , Jian Huang

The development of AI agents based on large, open-domain language models (LLMs) has paved the way for the development of general-purpose AI assistants that can support human in tasks such as writing, coding, graphic design, and scientific…

Artificial Intelligence · Computer Science 2025-06-03 Mustafa Mert Çelikok , Saptarashmi Bandyopadhyay , Robert Loftin

Failure Analysis (FA) is a highly intricate and knowledge-intensive process. The integration of AI components within the computational infrastructure of FA labs has the potential to automate a variety of tasks, including the detection of…

Artificial Intelligence · Computer Science 2025-09-03 Aline Dobrovsky , Konstantin Schekotihin , Christian Burmer

The rapid evolution of network infrastructure is bringing new challenges and opportunities for efficient network management, optimization, and security. With very large monitoring databases becoming expensive to explore, the use of AI and…

Networking and Internet Architecture · Computer Science 2025-07-31 Hong-Jun Yoon , Mariam Kiran , Danial Ebling , Joe Breen

Modern engineering increasingly relies on vast datasets generated by experiments and simulations, driving a growing demand for efficient, reliable, and broadly applicable modeling strategies. There is also heightened interest in developing…

Artificial Intelligence · Computer Science 2025-10-03 Yang Liu , Zaid Abulawi , Abhiram Garimidi , Doyeong Lim

Context: Manual qualitative data analysis is time-intensive and can compromise validity and replicability, affecting analysis design, implementation, and reporting. Large Language Models (LLMs) enable human-bot collaboration in Software…

Software Engineering · Computer Science 2025-10-14 Zeeshan Rasheed , Muhammad Waseem , Aakash Ahmad , Kai-Kristian Kemell , Wang Xiaofeng , Anh Nguyen Duc , Pekka Abrahamsson

The Cherenkov Telescope Array (CTA) is the next generation observatory for the study of very high-energy gamma rays from about 20 GeV up to 300 TeV. Thanks to the large effective area and field of view, the CTA observatory will be…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 Andrea Zoli , Andrea Bulgarelli , Adriano De Rosa , Alessio Aboudan , Valentina Fioretti , Giovanni De Cesare , Ramin Marx

Time series anomaly detection (TSAD) plays a crucial role in various industries by identifying atypical patterns that deviate from standard trends, thereby maintaining system integrity and enabling prompt response measures. Traditional TSAD…

Computation and Language · Computer Science 2024-05-27 Jun Liu , Chaoyun Zhang , Jiaxu Qian , Minghua Ma , Si Qin , Chetan Bansal , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang

Autonomous tuning of particle accelerators is an active and challenging field of research with the goal of enabling novel accelerator technologies cutting-edge high-impact applications, such as physics discovery, cancer research and…

Computation and Language · Computer Science 2024-05-16 Jan Kaiser , Annika Eichler , Anne Lauscher
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