From addiction to everyday decision-making, impulsivity shapes much of our behavior. A new study reveals how dopamine, reward size, and learned expectations combine to push us toward premature actions—even when we know better. By showing that impulsivity rises with the value of anticipated rewards, the research offers a new framework for understanding why we sometimes sabotage our own best interests.

Researchers at Northwestern Polytechnical University have unveiled a new AI system that filters out irrelevant video content and uses progressive reasoning to boost multi-turn video-chat accuracy by up to 7%, setting new benchmarks and enabling smarter visual assistants across fields.

A new AI-driven image recommendation method that learns directly from shoppers’ clicks delivers smoother, more personalized fashion suggestions—boosting offline accuracy by 0.46% and driving a 0.88% sales lift on Taobao’s women’s clothing.

Researchers from Fudan University, the Chinese Academy of Sciences, and Peking University have developed a prediction-guided testing method that cuts quantum device verification experiments by half, slashing time and cost for next-generation quantum computer calibration.

Researchers have unveiled a real-time dashboard that detects, analyzes, and defends federated learning AI systems—boosting trust and security in sensitive fields like healthcare, finance, and smart grids.