Amazon Science

🎙️ Reinforcement learning gyms, agentic shopping, and why 50% reliability = 0% utility. A panel at SXSW breaks down what it takes to ship AI agents that work at scale: youtu.be/6KgaRi0muyw

What keeps a delivery network running when a viral product spikes or a snowstorm hits? Amazon scientists designed a system where shocks trigger effective adaptation rather than crises. amazon.science/blog/navigatin…

From auction theory to supply chain coordination. Amazon's Flo Pro system achieves optimal plans where Amazon and its vendors keep their private cost data secret. amazon.science/blog/how-mecha…

✅ 70+ RAI tools ✅ 500+ research papers ✅ tens of thousands of hours of training How Amazon embeds responsible AI across the model lifecycle: amazon.science/blog/building-…

📣 Deadline extended to May 16. The Amazon Research Awards spring 2026 call for proposals is still open for submissions. Successful applicants receive unrestricted funds, AWS promotional credits, and training resources. amazon.science/research-award…

AI is reshaping mathematical research. In @AmazonScience, @PennEngineers faculty and Amazon Scholars Michael Kearns and Aaron Roth describe how AI tools can generate formal proofs and accelerate discovery. Read more: bit.ly/4te2VFQ #AIandMath

Amazon researchers reproduced three attacks that extract private training data from AI models and the cryptographic defenses that stop them: amazon.science/blog/preservin…

Work presented today @ Amazon Research Day: w/ Houjiang Liu, Yujin Choi, Sanjana Gautam, Gabriel Jaffe, & Soo Young Rieh. Effects of Varying Control vs. Automation in Human-in-the-loop Research Ideation. Paper: arxiv.org/abs/2601.12152 @CosmicAI_Inst @UTGoodSystems @UTiSchool

Amazon is proud to be named to @TIME's TIME100 Companies AI list—recognized for providing the foundational compute, powered by our custom Trainium AI chips, that the AI industry is being built on.

Another inspiring ICLR in the books. Thank you to everyone who connected with our team in Rio de Janeiro. Great to be among the global research community advancing deep learning. #ICLR2026

How catastrophic is your LLM? The C3LLM framework shifts safety benchmarking from empirical spot checking to statistical certification. #ICLR2026 amazon.science/blog/how-catas…

Haven't stopped by booth #106 yet? Meet Amazon researchers, see live demos, and chat with our team about opportunities at Amazon. Here's today's #ICLR2026 schedule.

Amazon researchers are at #ICLR2026 all week with live demos, expo talks, and conversations about the work happening across our teams. Stop by booth #106 to connect, see what we're building, and learn about opportunities at Amazon: amzn.to/4cCidOy

Another exciting development in our chips business as Meta has decided to bet big on Graviton, our leading CPU chip—committing to tens of millions of Graviton cores. Agentic AI is becoming almost as big a CPU story as a GPU story. Complex multi-step orchestration, real-time reasoning, and code generation at scale is CPU-intensive work. And, our purpose-built Graviton5 instances deliver up to 33% lower latency between cores, which matters a lot for these kinds of workloads. Meta has been a longtime AWS customer and one of our biggest users of Bedrock... looking forward to what they build with Graviton5. aboutamazon.com/news/aws/meta-…

🇧🇷 Attending #ICLR2026? Meet Amazon researchers, catch live demos, and join us for expo talks. Bookmark our booth schedule. ⬇️

Choosing the best AI model for antibody design has been nearly impossible without a diverse, ground-truth-validated benchmark. @awscloud and @HopkinsEngineer built one, spanning 50 seed antibodies, 4 structural formats, and 42 antigen targets. amazon.science/news/aws-gray-…

.@AnthropicAI to secure up to 5 gigawatts of current and future Amazon Trainium chips and commits to spend more than $100 billion on @awscloud technologies over the next 10 years, expanding Amazon and Anthropic's strategic collaboration.

Amazon researchers are presenting work across large language models, automated reasoning, and reinforcement learning at @iclr_conf in Rio. Stop by booth #106 to connect with the team. Explore our accepted publications: amzn.to/4cCidOy #ICLR2026