Collaborations

Amazon hires world-class academics as Amazon Scholars, Amazon Visiting Academics, and Amazon Postdoctoral Scientists to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.

The awards program offers unrestricted funds and AWS Promotional Credits to support research at academic institutions and non-profit organizations in areas that align with our mission to advance customer-obsessed science.

The Alexa Prize is a competition for students dedicated to accelerating the field of AI through generalizable methodologies, such as continuous learning, teachable AI, multimodal understanding, and reasoning.

The Amazon-funded Columbia Center of Artificial Intelligence Technology (CAIT) Hub supports research, education, and outreach programs that address the hardest challenges in AI and democratize access to the benefits of AI innovations.

Amazon is collaborating with Hampton University, a historically black college and university (HBCU) known for cutting-edge STEM research, to fund the establishment of a robotics degree program, including a senior capstone course where students will receive mentorship from leading Amazon researchers.

Amazon is collaborating with Howard University, a historically Black college or university (HBCU), to fund research projects, with a focus on machine learning, natural-language processing, and robotics. This includes the creation of RoboLab, where students will engage in prototype development and feasibility testing.

The Amazon IIT–Bombay AI-ML initiative is a collaboration to fund research projects, PhD fellowships, and community events, such as research symposia. The initiative, the first of its kind in India, will advance artificial intelligence and machine learning within speech, and language, and multimodal AI domains.

The JHU + Amazon Initiative for Interactive AI leverages world-class expertise in interactive AI to advance machine learning, computer vision, natural language understanding, and speech processing; democratize access to the benefits of AI innovations; and broaden participation in research from diverse, interdisciplinary scholars and other innovators.

The Amazon and Max Planck Society Science Hub aims to advance the frontiers of research and broadly share benefits across all sectors of society. The collaboration includes sponsored and open research, co-supervised industrial fellowships, and events that enrich MPG and Amazon research communities.

The Amazon and MIT Science Hub supports research, education, and outreach efforts via participation of diverse, interdisciplinary scholars, and other innovators. The Science Hub supports research, education, and outreach efforts with initial investments focusing on artificial intelligence and robotics innovations.

The Amazon Summer Undergraduate Research Experience (SURE) aims to increase diversity in science and engineering fields by providing students from historically underrepresented communities with a unique summer research experience. Amazon has initiated multi-year SURE program commitments with five universities.

The collaboration includes funds for faculty research projects, with a focus on AI, robotics, and operations research. Faculty are assigned an Amazon research liaison who are technical subject matter experts who stay informed about the progress of the project and serve as a bridge to Amazon’s scientific community.

The UCLA Science Hub for Humanity and AI leverages industry and academic research on artificial intelligence to address challenges and develop solutions that ultimately benefit humanity. The collaboration supports doctoral fellowships, research projects, and community outreach programs.

The Amazon-Illinois Center on AI for Interactive Conversational Experiences is designed to take the next steps in conversational interfaces via research and expertise in artificial intelligence and machine learning. Ultimately, AICE will guide emerging technology into a more intelligent, multimodal form.

The USC and Amazon joint research center is focused on the development of new approaches to machine learning privacy, security, and trustworthiness. The Center for Secure and Trusted Machine Learning (in short, Trusted AI), supports USC and Amazon researchers in the development of novel approaches to privacy-preserving ML solutions.

The UT Austin Science Hub drives collaboration between leading scholars, faculty, students, and entrepreneurs. It creates an environment for local, regional, national, and international communities to accelerate the advancement of science and jointly solve challenges of societal and real-world impact.

Virginia Tech and Amazon are collaborating to advance research and innovation in AI and machine learning. The Amazon – Virginia Tech Initiative for Efficient and Robust Machine Learning supports research projects, doctoral student fellowships, and community outreach.

The UW+Amazon Science Hub underscores Amazon’s commitment to academic collaboration by addressing some of the hardest challenges in science and engineering. The funding supports annual PhD fellowships, research projects, and collaborative research events and activities.