Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and collusion networks in financial transactions far more effectively than traditional methods, offering a clear roadmap for real-world implementation and stronger fraud defenses across banking, insurance, and regulatory systems.

A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and text-mining—can reliably predict novel uses for existing drugs, offering a faster, lower-cost, and lower-risk path to discovering new therapies.

Researchers from Jinan University, Huawei, and ByteDance have developed LTAA-FGAC, an innovative authentication system that balances user privacy with public traceability and fine-grained access control to enhance digital security and accountability.

An international team of researchers has developed LLaVA-Endo, a powerful new AI tool that helps doctors more accurately diagnose digestive diseases by combining visual and language understanding during gastrointestinal endoscopies.

Researchers at Nanjing University have developed a new training framework and benchmark that dramatically enhance how AI communicates and coordinates with humans in unpredictable, real-world scenarios, paving the way for safer, more efficient collaboration across various industries.