Explore the leaders, institutes and divisions leading Weill Cornell Medicine’s advancements in artificial intelligence, data science, and digital health.

Cornell is one of six universities partnering with the National Science Foundation and the U.S. Department of Agriculture’s National Institute of Food and Agriculture to form an institute aiming to create more climate-smart practices that will curb U.S. greenhouse gas emissions, while boosting the economy in the agriculture and forestry industries.

Led by Cornell University, NSF AI-MI is accelerating the discovery of next-generation materials essential for energy, sustainability, and quantum technologies. By bringing together computer scientists, materials researchers, and data scientists, AI-MI tackles knowledge- and data-centric challenges to advance AI and materials science. The institute integrates data generation, AI analysis, and rapid experimental feedback to dramatically reduce the time it takes to discover new materials – from months to days – and to establish reproducible, reusable workflows for the broader research community.

We create AI-scaled, case-based simulations that reveal how people use AI, adapt to feedback, and collaborate with others under realistic workplace constraints.

We create AI-scaled, case-based simulations that reveal how people use AI, adapt to feedback, and collaborate with others under realistic workplace constraints.

AI4MI unites the Department of Radiology at Weill Cornell Medicine and Cornell Tech in a first-of-its-kind cross-campus initiative to transform how medical imaging is developed, deployed, and applied in real-world clinical settings. AI4MI creates a world-class, cross-disciplinary research ecosystem that brings together engineers, computer scientists, clinicians, and researchers across campuses in New York City and beyond.

The Cornell AI for Sustainability Initiative (CAISI), part of the Cornell University AI for Science Institute, harnesses AI to tackle global sustainability challenges, focusing on decarbonizing energy and agri-food systems. CAISI drives cutting-edge research, innovation, and education in AI for Sustainability (AI4S), addressing energy, food, and climate issues at scales ranging from sustainable materials discovery to the global energy-food-climate nexus.

AIPP is an initiative housed within the Bowers College of Computing and Information Science at Cornell University and led by professors Solon Barocas, Jon Kleinberg, Karen Levy, and Helen Nissenbaum. The aim is to approach AI as a fundamentally socio-technical phenomenon and to more fully understand and more wisely develop the future path and impact of AI.

The Artificial Intelligence and Precision Nutrition Training Program (AIPrN) brings together Cornell faculty members in nutrition, medicine, biomedical sciences, computer and information science, and engineering. Faculty members from the United States Military Academy at West Point and the University of California, San Diego will provide additional support.

There is tremendous growth and potential in the development, application, and clinical use of AI in human healthcare, and the emergence of AI in veterinary medicine poses exciting and new opportunities to improve the quality of life of animals and those who care for them.

A broad effort from Cornell, Columbia and NewYork-Presbyterian to explore the use of AI to improve heart failure diagnosis and management. Recent advances in AI have enabled not only popular consumer- and business-oriented applications but also machine learning models trained to detect disease-related patterns in textual- and image-based medical data.

AI is no longer the "future of work." It has arrived and is having very real implications for work, labor and employment throughout the U.S. and globally. Yet, much is still unknown about how it is being deployed and where it can provide unique opportunities for businesses and workers. CAROW is collaborating with ILR faculty, member institutes, and grantees to highlight research utilizing and evaluating the impact of artificial intelligence on work.

We bring together human-centered assistive technology, AI, and real-world deployment to expand access, independence, and quality of life.

Connect researchers with materials research instrumentation, capabilities, and knowledge.

Aims to unify programs and interdisciplinary research in data science with an initial emphasis on questions grounded in data that are generated by human activity.

Provides a broad range of services that support the computational research needs of Cornell faculty.

Cornell Law's Center for Law and AI brings together researchers working at the intersection of law and artificial intelligence. The Center explores how AI is reshaping the legal profession, how legal education should evolve in response, how law and policy can effectively govern AI, and how AI tools can advance scholarship on legal and societal questions.

Enhancement of research and education in vertebrate genetics and functional genomics at Cornell.

Sustainably feeding people, improving livelihoods, and protecting the environment are among the most significant challenges of our time. Making meaningful contributions to address these challenges requires systems-level thinking and an interdisciplinary, holistic approach.

The Cornell Climate Smart Farming program is a voluntary initiative that helps farmers in New York and the Northeastern US to: 1) Increase agricultural productivity and farming incomes sustainably, 2) Reduce greenhouse gas emissions from agricultural production through adoption of best management practices, increased energy efficiency, use of renewable energy, and increased carbon sequestration, and 3) Increase farm resiliency to extreme weather and climate variability through the adoption of best management practices for climate change adaptation.

Building on the work of the NSF-funded Institute for Computational Sustainability , Cornell leads CompSustNet, a network of interdisciplinary, multi-investigator research teams focusing on cross-cutting computational topics. CompSustNet sponsors workshops, hosts educational and community building events, and works to ensure that computational sustainability becomes a self-sustaining discipline.

We study the future of learning and how technology can advance human development. The Future of Learning Lab at Cornell University explores how technology, data, and human-centered design can transform education. Our research bridges the fields of AI in education, learning science, and behavioral science to improve teaching and learning at scale.

Pioneering innovative technologies to make agriculture more efficient, sustainable, and responsive.

The Cornell University AI for Science Institute (CUAISci) is part of the Radical Collaborations Initiative on AI. One of the initiative’s core AI application impact areas is scientific discovery, and sustainability is also an overarching goal.

Developed to prevent AI from furthering existing inequalities, this initiative provides digital literacy resources for youth and underserved communities so that people can learn how to safely and responsibly use these technologies.

In an era when we are witnessing one of the most significant paradigm shifts in the conceptualization and creation of our environments, objects, and interfaces, the Design + Technology Radical Collaboration Initiative will advance design research and education across disciplines and domains at Cornell and beyond.

Housed at Cornell Tech, the Digital Life Initiative is a collaborative group of academics (faculty, postdoctoral fellows, visiting scholars), industry, non-profit, government, and media organizations who work together to explore societal perspectives on the development and application of digital technology, focusing on ethics, policy, politics, and quality of life.

Made possible by a gift from the Secunda Family Foundation to fund AI research at Cornell Tech in New York City and at the Cornell Ann S. Bowers College of Computing and Information Science in Ithaca, this program aims to support AI researchers in their pursuit of new, groundbreaking AI developments. In partnership with the Jacobs-Technion Institute at Cornell Tech, the partnership aims to pioneer cutting-edge technical research that will transform current AI paradigms, bring about deep understanding of AI models, and enable the next generation of AI technologies.

Weill Cornell Medicine's Englander Institute for Precision Medicine is a large multi-disciplinary institute that uses precision medicine technologies and informatics to uncover the molecular mechanisms of disease and individualize disease treatment and prevention.

Cornell is one of nine universities worldwide selected to join the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, to accelerate the next scientific revolution by applying AI to research in science, technology, engineering, and mathematics. Cornell will recruit and train a cohort of up to 100 postdoctoral fellows over six years in the fields of natural sciences and engineering.

We imagine a future where the transformative potential of AI technologies is universally accessible—a future where AI significantly enhances the lives of all social groups, promoting fairness and inclusivity on a global scale. In this future, AI solutions are as effective for frontline health workers in Africa, teachers in under-resourced schools in South Asia, and migrant communities in the U.S., as they currently are for people in WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries which represent less than 15% of the world’s population. Our vision is a world where AI serves everyone equitably, bridging gaps rather than widening them.

Established jointly by Cornell University and the Technion-Israel Institute of Technology, the Jacobs Technion-Cornell Institute at Cornell Tech transforms key industries through technological innovation, deep-tech startups, and uniquely skilled talent.

The mission of the Institute of Artificial Intelligence for Digital Health is to advance individualized health and health care with data-driven insights derived from applying AI technologies. The institute will establish a community of experts across multiple disciplines in computational science and clinical medicine, facilitate collaborations, promote multi-disciplinary research, and engage in entrepreneurship and technology commercialization.

Cornell Tech partners with NYC Public Schools to learn how teachers can best bring critical and computational thinking, programming, 3D making, robotics, artificial intelligence, and safe, ethical digital citizenship to their classrooms.

Kavli Institute at Cornell for Nanoscale Science (KIC) is devoted to the development and utilization of next-generation tools for exploring the nanoscale world.

Made possible by a gift from Josh Kulkin ’01 to the Cornell Ann S. Bowers College of Computing and Information Sciences, the gift supports foundational research, new faculty recruitment and access to state-of-the-art computing infrastructure at the college.

Under the direction of Valerie Reyna, Ph.D., the Laboratory for Rational Decision Making researches human judgment and decision making, numeracy and quantitative reasoning, risk and uncertainty, medical decision making, social judgment, and memory. Dr. Reyna is a developer of fuzzy-trace theory, a model of the relation between memory and higher reasoning that has been widely applied in law and medicine.

The mission of the National Tutoring Observatory is to observe and record great teachers at work in one-on-one and small group interactions with learners. By partnering with a range of tutoring providers, we will create the world's largest repository of video and transcript data about tutoring interactions and the incredibly important work of teachers. Our aspiration is to create a Million Tutor Moves dataset that records at least one million interactions between teachers and students across a range of subjects, grade levels, and educational contexts.

A sequence modeling architecture based on Omega learning rule that builds persistent associative memory into the recurrent state, enabling long-horizon context retention without quadratic attention costs.

The societal and economic impacts of digital technology are only becoming more powerful, and with it, the growing desire among graduate students, researchers, and practitioners to intentionally shape technology to serve public needs. The Public Interest Technology (PiTech) Initiative at Cornell Tech is addressing this demand by curating engagement opportunities for graduate students and researchers to apply technical expertise in service of public needs and incorporate public objectives explicitly into the pursuit of technological innovation.

Scientific breakthroughs and technological developments in the quantum realm underpin our understanding of the fundamental nature of matter and energy and enable a wide range of practical applications. The Cornell Quantum Initiative builds on the university’s considerable strengths spanning foundational science, engineering and computing to drive the next phase of discovery, innovation and impact in quantum science and technology.

Public conversation is increasingly fractured, not just across political lines but now at the level of basic shared reality. This project proposes something more ambitious than better content moderation: a three-part AI infrastructure designed to make civic discourse more trustworthy.

The 2030 Project is a university-wide initiative designed to bring ambitious climate research to impact on this critical challenge of our time. We are guided by two core values: climate action that leaves no one behind and scaling local action to global action.