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." ...

As Search Engines Shift Toward AI, Businesses Rethink How Content Earns Visibility and Trust

LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...
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 ...
2UrbanGirls on MSN

AI ML talent demand grows as startups hire ML engineers and AI engineers for automation

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
GitHub

A comprehensive implementation of self-supervised reinforcement learning algorithms including contrastive learning, predictive models, and representation learning for RL tasks.

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...
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 ...