Amazon Science

.@NimbusTx customized an LLM trained in chemistry, designed to accelerate early-stage drug discovery. A single fine-tuned Amazon Nova mode.l unifies what previously required multiple independently trained models for molecular-property prediction. amazon.science/blog/customize…

Congratulations to Matias Cattaneo, Amazon Scholar and @EPrinceton professor, on being named a 2026 Guggenheim Fellow (@GuggFellows). The foundation recognizes scholars breaking new ground across 55 disciplines, chosen for both career achievement and exceptional promise. #guggfellows2026 gf.org/stories/announ…

Amazon built RuleForge to tackle 48,000+ new vulnerabilities. The agentic AI system generates detection rules 336% faster than human analysts. amazon.science/blog/how-amazo…

Tomorrow’s quantum computers threaten today's encryption. Amazon's answer: mlkem-native, an open-source ML-KEM implementation that is formally verified for security and optimized for performance using automated reasoning. amazon.science/blog/verifying…

Millions of rides. Milliseconds to match. @Uber is expanding its infrastructure on AWS. The company now runs more of its core matching system on Graviton4 processors and is piloting Trainium3 chips to train AI models that connect riders with drivers, predict arrival times, and personalize recommendations. The result: faster matches and smarter experiences for millions of daily users. go.aws/4tx0ajs

Ten university teams are building the future of trusted AI agents for software development. Meet the innovators competing in the 2026 Amazon Nova AI Challenge: amzn.to/4sXlGOF

We're looking for interns to join us at @AmazonScience! Come build the future of AI with us. We just launched Alexa+ in the UK and there's so much more to come 🎉 MS/PhD students in GenAI, LLMs, speech, NLP & more - this one's for you. Based in London or Cambridge. Links in 🧵

Low-rank adaptation enables correctly accented polyglot outputs, while classifier-free guidance boosts expressiveness in LLM-based text-to-speech systems. amazon.science/blog/improving…

As AI models grow larger, they become less insightful. @AWS found a formula that could change everything: intelligence is about time, not scale. amzn.to/4clYUcj

📣 Amazon Research Awards spring 2026 call for proposals is now open for submissions. Successful applicants will receive unrestricted funds, AWS promotional credits, and training resources. Deadline for submissions is May 6. amzn.to/4c3GH3Z

AI is accelerating mathematical research while overloading peer review systems. Amazon Scholars and @PennEngineers professors @mkearnsupenn and @Aaroth on the promise, the problems, and what needs to change. amazon.science/blog/how-ai-is…

An exclusive tour of Amazon’s Trainium lab, the chip that’s won over Anthropic, OpenAI, even Apple  techcrunch.com/2026/03/22/an-…

AWS mathematically proved its AES-XTS algorithm is correct, creating the largest proof in s2n-bignum. The algorithm protects customer data in EBS, Nitro cards, and DynamoDB. amazon.science/blog/formally-…

A new Amazon study reveals that targeting LoRA at one model sublayer — or "module" — delivers 98% of multimodule-LoRA performance while cutting latency 22.6%.amazon.science/blog/optimizin…

@RishavPramanik @amazon Welcome, Rishav!

Late News: I will be joining @amazon @AmazonScience in Seattle for the Summer of 2026, in the months of June to September. I will be with the Trust and Store Integrity Team (TSI-Science) as an Applied Scientist Intern. Hit me up if you are around Seattle around that time!

Amazon's AGI Lab is training AI agents to navigate the outdated legacy systems keeping banks, hospitals, and government agencies running. The goal: help institutions modernize without the risk of tearing everything down first. Learn more. ⬇️ amazon.science/blog/how-agent…

Critical systems are running on software older than the people managing them. Amazon's AGI Lab is training agents to navigate legacy infrastructure. amazon.science/blog/how-agent…

"As scientists studying the theory of machine learning, we’re already seeing a similar transformation in basic scientific methodology, especially for research of a mathematical nature," write Michael Kearns and Aaron Roth in their @AmazonScience op-ed. amazon.science/blog/how-ai-is…

AWS and @cerebras are bringing dramatically faster AI inference to customers through Amazon Bedrock. The solution splits inference into two stages: AWS Trainium3 for prompt processing and Cerebras CS-3 for output generation. AWS will be the first and exclusive cloud provider to deploy Cerebras hardware. Learn more: go.aws/3NBfcFC

🎙️️ Pre-training gives language models broad knowledge—but how do we elicit the structured reasoning needed to handle ambiguous, multi-step tasks? Cognitive scientist Danielle Perszyk sits down with Amazon AI researcher, Meiqi Sun, to explore how agents learn to analyze, explore, backtrack, and self-correct. Episode 6 of "Making a Mind" is live now. Tune in on YouTube: amzn.to/46UsSC9