AMD Global Physical AI Behavioral Safety Challenge supports teams developing models to forecast human movement and collision risk, helping robots work safely alongside people in shared spaces.
Google Mumbai Data Challenge: Air Quality Mapping & Forecasting supports participants developing hourly PM2.5 forecasts for Mumbai to inform environmental monitoring and urban planning.
Advance Whole-Person Data Integration and Reimagine Data Science Computations and Analytics to Address Chronic Disease Disparity Grand Challenge supports teams building reusable data tools to reduce disease disparities.
Funds research on innovative, ethical AI systems to enhance human-machine collaboration, knowledge sharing, and workforce inclusion in advanced manufacturing.
Funds research to develop safe, efficient, and advanced frontier AI models in Europe, focusing on robust safety, computational efficiency, and collaboration within the EU AI research community.
AI Safety Fund supports independent researchers studying frontier AI safety and security to reduce public risks, mitigate malicious use, and enable standardized, independent evaluations of AI systems.