As AI agents become more autonomous, the key challenge isn't what they can do; it's how to design the human side of the equation.
Amazon Science
Research Services
Seattle, Washington 387,943 followers
The latest news and research from Amazon’s science community. #AmazonScience
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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
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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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Intelligence is about time, not scale. AWS researchers prove that minimizing inference time maximizes the algorithmic mutual information between training data and future tasks. One formula explains why: https://amzn.to/411Lltc
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Amazon Research Awards Spring 2026 call for proposals is now open across seven research areas, including Agentic AI and Robotics. Successful applicants receive unrestricted funds, AWS promotional credits, and training resources. Deadline for submissions is May 6: https://amzn.to/3PY9XAw
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AI agents are now helping to write rigorous mathematical proofs, transforming research in computer science. Amazon Scholars and Penn professors Michael Kearns and Aaron Roth explore AI's advantages and blind spots, the challenges for training future scientists, and what needs to change in peer review.
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Amazon Science reposted this
Shortly after Amazon announced its $50 billion investment in OpenAI, AWS invited me on a private tour of the chip lab at the heart of the deal.
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How can you cut AI fine-tuning costs without sacrificing accuracy? Amazon researchers found that modifying the output of a single model sublayer delivers 98% of the performance of modifying multiple sublayers at 22.6% lower latency across seven datasets: https://amzn.to/4bEZG3F
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The world's most critical systems run on software older than the people managing them. Amazon's AGI Lab is training agents to navigate legacy infrastructure too vital to replace, too brittle to ignore: https://amzn.to/4bcBsib
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Trust, control, and transparency are essential to the agentic-AI user experience, and they all depend on getting human-AI coordination right. Amazon Scholar James Pierce introduces three zones for thinking about how to calibrate that balance: https://amzn.to/4bDAhs7
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