Amazon has given 63 Amazon Research Awards (ARA) to recipients representing 41 universities in eight countries.

The awards provide unrestricted funds and Amazon Web Services (AWS) promotional credits to academic researchers investigating various research topics in multiple disciplines.

The awards cover several categories including AI for information security, Amazon Ads, AWS AI, and agentic AI.

Several projects in the AI for information security category examine emerging risks in machine learning systems, including interpretable vulnerability detection, secure key management for confidential computing, and safe API discovery for agentic AI.

In the agentic AI category, recipients are looking at a range of topics including the efficient and effective long-horizon reasoning for interactive agents, contextual harm mitigation, and automated backtracking as well as, functional bug-aware software testing via agents.

Amazon said the entries were reviewed for the quality of their scientific content and their potential to impact both the research community and society.

Recipients of ARA will have access to more than 700 Amazon public datasets, as well as AWS AI/ML services and tools through their AWS promotional credits.

They are also assigned an Amazon research contact who offers consultation and advice, along with opportunities to participate in Amazon events and training sessions.

Additionally, Amazon said it will encourage the publication of research results, presentations of research at Amazon offices worldwide, and the release of related code under open-source licenses.

Yida Wang, AWS AI principal applied scientist, said that AWS is committed to democratising AI research through collaborative partnership with academia to foster an environment where researchers experiment freely, students learn on production-scale infrastructure, and academic innovations shape the future of machine learning for everyone.

"Academic AI researchers face a fundamental challenge: advancing machine learning research and educating the next generation requires access to cutting-edge infrastructure that's both powerful and affordable," he added. “We are working with leading AI research universities such as, UC Berkeley, Stanford, CMU, MIT, UIUC, UCLA, and many others.”

Wang highlighted a project that Amazon is currently working on with researchers from MIT where 3D medical imaging has reduced the training time required for healthcare professionals from “months to weeks”.

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