Artificial Intelligence in Materials Science supports researchers combining AI and physical theories for materials discovery, simulation, inverse design, and autonomous experiments to advance scientific discovery.
AI for Science program supports researchers with API access for AI-enabled scientific work, emphasizing biology and life sciences to accelerate discovery and contribute to positive real-world impact.
Advancing Research at the intersection of Biology and Artificial Intelligence/Machine Learning (AI/ML) supports researchers using AI/ML for biological discovery and biology-informed methods to advance both fields.
Targeted Grants to Math+AI Institutes supports institutes and centers with workshops, research exchanges and AI tool adoption to advance mathematics research and shape community standards for AI use.
IPAM's program brings together top researchers to advance quantum advantage through interdisciplinary work on simulation, error correction, and fault-tolerant quantum algorithms.
Utilizing the Full Power of Empire AI 2027 supports researchers using foundational machine learning models and Empire AI’s GPU clusters to address fundamental problems in mathematics and basic science.