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, ...
Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
Abstract: With the rapid development of information technology, personalized education has become a key direction for improving the quality of online learning and optimizing individualized learning ...
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 ...
Modern Engineering Marvels on MSNOpinion
AI’s self‑improvement crossroads: The 2030 AGI risk window
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 ...
We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various ...
Humans are able to make relatively stable judgments and swiftly adjust their strategies, even when goals suddenly change or situations become ...
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