For creators working on storyboards or brand campaigns, the most impactful new feature is the ability to generate up to eight ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...
Abstract: Adapting Vision Transformers (ViTs) for medical imaging is constrained by the scarcity of data and high-quality annotations, hindering effective training and robust generalization. Visual ...
Abstract: ML-based computer vision models are promising tools for supporting emergency management operations following natural disasters. Imagery taken from small manned and unmanned aircraft can be ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...