Top marine equipment supplier positions itself at the forefront of fleet modernization

CHONGQING, CHONGQING, CHINA, January 19, 2026 /EINPresswire.com/ -- As global shipping fleets navigate increasingly ...

Symmetry Systems Powers Ahead with New AI-Powered Classification Features and Open Source Taxonomy

SAN MATEO, Calif., Jan. 30, 2026 /PRNewswire/ -- Symmetry Systems, the Data+AI security company, today unveiled its AI-Powered Classification taxonomy that fundamentally transforms how organizations ...
Psychology Today

Attribution Theory and Achievement Considerations

Research shows that, in Attribution Theory, four factors shape a person’s motivation to engage and learn across any field or ...

Talking to the Moon: World’s First Multimodal Foundation Model for Lunar Exploration and Resources

The same AI methods that power ChatGPT can now allow you to talk to the Moon Its good to be skeptical when applying ...
InfoQ

Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...
Scientific Research Publishing

Quantum-Inspired Feature Representations for Depression Subtype Classification: A Synthetic Benchmark Study ()

Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment responses.
IEEE

A Realistic and New Approach for Crowd Density, Quantity, Types, and Anomaly Detection Using Effective Multi-Task Deep Learning Model

Abstract: Quantitative, type, and anomaly information in crowd videos is critical for smart city and campus applications. Existing approaches generally focus on high-performance counting or anomaly ...
Multiple Sclerosis News Today

New AI model challenges how multiple sclerosis is classified

A new model using artificial intelligence (AI) suggests that multiple sclerosis (MS) progression is better viewed along a single disease spectrum, rather than as distinct disease types — such as those ...
IEEE

Early Classification of Time Series Based on Reliable Labels

Abstract: Early classification of time series aims to predict class labels as promptly as possible while maintaining sufficient accuracy. Existing approaches often rely on multiple classifiers for ...