Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Toward the end of this decade, a choice may face the species that could reshape its interactions with intelligence itself and ...

The truth is that most AI systems today are amoral. They maximize whatever objective we give them while outsourcing ethics to ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

A global collaboration including Sunwoda, Chery, Nobel laureate M. Stanley Whittingham, Semitronix, the University of ...

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...