From algorithms to intelligence: How AI is reshaping quantitative finance education

Artificial intelligence is revolutionising quantitative finance, enabling smarter trading through advanced models, feature ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Robohub

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

Presentation of the best paper award at the RoboCup 2025 symposium.

Deep Thinking AI Obtains Patent for Cell Image Classification, Self-Supervised Learning Technology Accelerates Medical Applications

Co., Ltd. recently announced good news: its patent for the "Application Method and System of Self-Supervised Learning Model in Cell Image Classification" has been authorized, with patent number ...

Digital Banking Software and the Role of Machine Learning in Decision Making

ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...
Analytics Insight

10 Machine Learning Tools to Use in 2025 for Smarter AI Projects

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study ...
Chromatography Online

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
C&EN

Combating Counterfeit Drugs via Machine Learning-Enabled Array Screening of Multilayer Evolutionary Combinatorial Libraries

State Key Laboratory of Natural Medicines, National R&D Center for Chinese Herbal Medicine Processing, Jiangsu Key Laboratory of Drug Design and Optimization, College of Engineering, China ...
IEEE

Detection of Blood Clot in Brain Using Supervised Learning Algorithms

Abstract: Ischemic Stroke and its subtypes detection in real time at early stage is a complex task and requires advanced terminologies and tools to learn the statistical pattern form raw data and gets ...

Discussing AI Agent Development: Core Elements, Types of Algorithms, and Development Difficulty

First, let's discuss the core elements of this development, with algorithms being the most critical. In AI agent development, we often mention the use of machine learning algorithms, and of course, ...