A decade after its launch, Amazon Aurora continues to transform cloud database technology. What started as a vision to combine the cost effectiveness and simplicity of MySQL with the speed and availability of high-end commercial databases has evolved into a fully serverless solution trusted by tens of thousands of customers: https://amzn.to/4mwFNjq
Amazon Science
Research Services
Seattle, Washington 377,599 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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We introduce DEEPFLEET, a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. These models are trained on fleet movement data, including robot positions, goals, and interactions, from hundreds of thousands of robots in Amazon warehouses worldwide.
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Amazon researchers present a novel approach to LLM optimization. Wanda++ enables compression of seven-billion-parameter models in under 10 minutes on a single GPU, delivering a 32% performance improvement over previous compression methods: https://amzn.to/45tLUxH
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Introducing DeepFleet: Amazon's first foundation models for multirobot coordination. Trained on millions of hours of data from fulfillment centers, these models predict future traffic patterns for robot fleets, increasing deployment efficiency by 10% to deliver packages faster at lower costs: https://amzn.to/45zIc5J
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Congratulations to Amazon researchers for winning the Industry Track: Best Paper Award at ACL 2025. The award recognizes groundbreaking work that advances the field of computational linguistics and natural language processing. Read the paper: https://amzn.to/41ieaCj
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Three challenges have confronted automated reasoning for decades: language translation, defining truth, and definitive reasoning. Amazon VP and distinguished scientist Byron Cook explains how Amazon's new Automated Reasoning checks tackles them all: https://amzn.to/4lgMkgK
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The Amazon Nova family of foundation models is designed to deliver powerful intelligence and industry-leading price performance for diverse customer needs, offering AI capabilities across text, image, video, and agentic tasks through models tailored to different requirements, available via Amazon Bedrock and nova.amazon.com.
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At KDD in Toronto this week, Amazon researchers are presenting advances in LLMs, intelligent systems, and next-generation AI frameworks. Learn more: https://amzn.to/45fUjoq #KDD2025
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To improve LLM safety, Amazon researchers demonstrate that using multiple AI agents to generate and refine "chain of thought" training data boosts benchmark performance by 29% on average. Presented at ACL this week, the findings demonstrate how this approach enhances AI reasoning capabilities while improving safety and policy compliance: https://amzn.to/3IXrhlV
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