What to look for when choosing an AI accounting tool and how to implement it

Ramp reports AI tools are transforming accounting by automating tasks and enhancing accuracy, crucial for teams facing ...

On International Women’s Day, Make Climate Data For Everyone

Women are leading in building climate resilience with AI and data, despite not being included in climate research and ...

Market Manipulation Detection In Web3: Identifying Coordinated Trading Behavior Using AI Analytics

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

AI Stock Trading: The Future of Algorithms in Investing

There's an iconic scene at the end of the 1985 film "Back to the Future" when Doc Brown returns from 2015 to warn Marty McFly and his future wife, Jennifer, that their future children have "problems." ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Asynchronous Push-sum Dual Gradient Algorithm in Distributed Model Predictive Control

Abstract: This paper studies the distributed model predictive control (DMPC) problem for distributed discrete-time linear systems with both local and global constraints over directed communication ...
Scientific Research Publishing

Chen, S., Ren, S. and Zhang, Q. (2025) Hybrid Architectures That Combine LLMs and Predictive Analytics for Next-Generation Financial Modeling. Mathematical Modeling and ...

ABSTRACT: The increasing complexity of financial statements, which encompass both structured numerical data and unstructured textual narratives, presents significant challenges for traditional ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
Scientific Research Publishing

Research Progress and Challenges of Machine Learning Algorithms in the Prediction Model of Perioperative Nausea and Vomiting ()

1 Department of Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. 2 Department of Orthopedic Surgery, Affiliated Hospital of Youjiang Medical University ...
Frontiers

Identifying gastric intestinal metaplasia risk based on clinical indicators: a machine learning predictive model based on the SHAP methodology

Patients were collected from the First Affiliated Hospital of Dalian Medical University, following rigorous inclusion and exclusion criteria. Initially, the VarSelRF algorithm identified independent ...