Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone.Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology.The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches.VIEW FULL FUNDING OPPORTUNITY!

Statewide Gardening Information and Soil Testing ScheduleFrom March through October, our URI Master Gardener volunteers offer free soil pH testing to Rhode Island residents, helping you understand your soil's health and providing recommendations for improvement. Bring a soil sample to the event and our experts will determine its pH levels and texture, offering guidance on achieving optimal soil conditions for your gardening needs.Additionally, explore our Gardening Information and Soil Testing (GIST) booth, where you can ask gardening questions and access a wealth of resources to support your horticultural goals.Learn how to take a soil sample and access the statewide schedule by visiting: uri.edu/coopext/services/gist

Winter J-Term Pre-registration begins