How catastrophic is your LLM? The C3LLM framework shifts safety benchmarking from empirical spot checking to statistical certification of catastrophic risk in multiturn conversations.
Amazon Science
Research Services
Seattle, Washington 388,761 followers
The latest news and research from Amazon’s science community. #AmazonScience
About us
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience
- Website
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https://www.amazon.science
External link for Amazon Science
- Industry
- Research Services
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
- Founded
- 2020
- Specialties
- Artificial Intelligence, Machine Learning, Computer Vision, Cloud, Economics, Sustainability, AI, ML, Conversational AI, Natural Language Processing, NLP, Robotics, Security, Privacy, Information, Knowledge Management, Operations, Scientific Research, Search, Amazon, and Alexa
Updates
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Another inspiring ICLR in the books. Thank you to everyone who connected with our team in Rio de Janeiro. It was great to be among the global research community advancing deep learning. #ICLR2026
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Amazon Science reposted this
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. https://lnkd.in/gQpphrPh
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Attending ICLR? Meet Amazon researchers across dozens of fields, catch live demos, and join us for expo talks. Find us at booth 106! #ICLR2026
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Choosing the best AI model for antibody design has been nearly impossible without a diverse, ground-truth-validated benchmark. Amazon Web Services (AWS) and Johns Hopkins Whiting School of Engineering built one, spanning 50 seed antibodies, 4 structural formats, and 42 antigen targets.
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At ICLR, Amazon researchers are presenting work on large language models, automated reasoning, and reinforcement learning. Join us at booth #106 to connect with our team, see live demos, and explore career opportunities. Check out our accepted publications: https://amzn.to/4tkG502 #ICLR2026
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The Nitro Isolation Engine sets a new standard for cloud security as the first formally verified cloud hypervisor. Isabelle/HOL enabled verification of a quarter-million-line proof in 30 minutes. https://amzn.to/4vANcDd
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Training AI agents to click, type, and navigate real websites requires more than just a great model. Amazon's AGI Lab shares a practical recipe for scaling reinforcement learning into a reliable engine for computer-use agents. https://amzn.to/4vA60CD
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