Financial Application
Financial applications of artificial intelligence are rapidly expanding, driven by the need for efficient and accurate analysis of complex financial data. Current research focuses on developing and adapting various machine learning models, including large language models (LLMs), deep learning architectures (like YOLO and Swin-Unet), and optimization algorithms (e.g., those incorporating reinforcement learning and model predictive control), to handle diverse data types (text, images, time series) and tasks (prediction, classification, generation). This work is significant because it promises to improve decision-making, risk management, and resource allocation across various financial sectors, while also advancing the broader field of AI through the development of novel algorithms and model architectures tailored to specific financial challenges.
Papers - Page 23
LLM-based policy generation for intent-based management of applications
Kristina Dzeparoska, Jieyu Lin, Ali Tizghadam, Alberto Leon-GarciaA Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
Yuandi Wu, Brett Sicard, Stephen Andrew GadsdenRevolutionizing Finance with LLMs: An Overview of Applications and Insights
Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Hanqi Jiang, Yi Pan, Junhao Chen+4
Machine Learning Modeling Of SiRNA Structure-Potency Relationship With Applications Against Sars-Cov-2 Spike Gene
Damilola OshunyinkaLegal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
José-Antonio Santos, Alberto Fernández, Mar Moreno-Rebato, Holger Billhardt, José-A. Rodríguez-García, Sascha OssowskiApplications of Machine Learning to Optimizing Polyolefin Manufacturing
Niket Sharma, Y. A. Liu
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases
Pratik Karmakar, Mikaël Monet, Pierre Senellart, Stéphane BressanA Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems
Mohamed R. Shoaib, Heba M. Emara, Jun ZhaoA Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications
Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review
Ihsane Gryech, Chaimae Assad, Mounir Ghogho, Abdellatif KobbaneSynthetic Data in AI: Challenges, Applications, and Ethical Implications
Shuang Hao, Wenfeng Han, Tao Jiang, Yiping Li, Haonan Wu, Chunlin Zhong, Zhangjun Zhou, He Tang