Amazon 与斯坦福大学联合启动 AI 与科学研究计划

The collaboration aims to advance research while broadening participation and translating discovery into real-world solutions.

Amazon and Stanford University launched the Stanford and Amazon Research Initiative to collaborate on research in AI, energy, and healthcare, formalizing an existing partnership involving over 10 Amazon-funded research teams and PhD fellowships; The initiative will support joint research projects, PhD fellowships focused on key technical challenges, and symposia bringing together interdisciplinary scholars to advance foundational and applied AI research; The collaboration aims to accelerate the translation of breakthrough research into real-world solutions while broadening participation from diverse scholars across both institutions' strengths in AI, machine learning, and health sciences

Amazon has launched the Stanford and Amazon Research Initiative with Stanford University, a new framework for advancing research at the frontiers of AI, energy, and healthcare. The initiative aims to ensure that results reach the real world, and builds on a deep, established relationship. Currently more than 10 teams across Amazon fund active research and PhD fellowships at Stanford, spanning everything from humanoid robotics and post-quantum cryptography to causal measurement science and AI-driven radiology. By formalizing this collaboration, the two institutions aim to tackle harder problems together, broaden participation from diverse scholars, and shorten the path from breakthrough research to solutions that make people's lives meaningfully better.

“Advances in AI, chips, and energy are creating an unprecedented opportunity to reshape how we live and work," said Nafea Bshara, AWS Vice President & Distinguished Engineer. "By collaborating with Stanford, a recognized pioneer in these fields, we are building a collaboration where breakthrough research can be rapidly transformed into solutions that benefit society at large. This reflects Amazon's deep commitment to advancing the frontiers of science and technology alongside world-class academic institutions."

The initiative’s focus areas will leverage both institutions’ strengths in artificial intelligence, machine learning, automated reasoning, and health, supported by Amazon’s global leadership in cloud computing and AI services. Research projects will explore challenges across foundational and applied AI, drawing on Stanford’s cross-campus, interdisciplinary approach.

The collaboration will support:

Joint research projects between Stanford faculty and Amazon scientists; PhD fellowships focused on key technical challenges in AI and related fields; Symposia and workshops designed to bring together interdisciplinary scholars to advance science

To celebrate the agreement and new areas of collaboration, Amazon and Stanford hosted an event on Stanford’s campus on September 16 to discuss ongoing Amazon-supported research at Stanford and identify new areas for collaboration. A highlight of the event was a fireside chat discussion between Matt Garman, CEO of AWS, and David Studdert, Vice Provost and Dean of Research, and Professor of Health Policy and Law at Stanford, moderated by Curtis Langlotz, Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice President for Research, which explored the importance of these university-industry collaborations to advance scientific breakthroughs in everything from health to security, and discussed the role of AI and its impact on research.

“To stay at the leading edge of AI and data science discovery, Stanford’s relationships with industry must expand and deepen,” said Studdert. “Amazon has been a great supporter of our research for years, and we already have a strong track record together. I have high hopes that this initiative will unlock exciting new opportunities and bring more cohesiveness to our relationship.”

About Amazon and Academic Collaboration

Amazon collaborates with leading universities around the world to advance foundational and applied research, support the education and training of future scientists, and translate academic discovery into practical solutions. Amazon’s support for the initiative underscores its continuing commitment to collaborating with academia on research efforts as well as helping to fund the next generation of scientists who reflect the diversity of perspectives and expertise at Amazon, Stanford, and around the world.

Machine learning

Academic collaborations