At Amazon's AGI Lab, XJ Wang's Reinforcement Learning Pod team trains AI agents using RL gyms for real-world applications. His team handles everything from model training to product integration across Amazon. Learn more:
Amazon Science
Research Services
Seattle, Washington 379,037 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
-
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
-
Agentic AI presents new scientific frontiers, like deciding what language agents should speak and modeling agentic negotiations. In this analysis, Penn professor and Amazon Scholar Michael Kearns explains how researchers will need to grapple with questions around sharing context without compromising privacy and understanding users' commonsense policies: https://amzn.to/4piTFzp
-
-
Audible's new ML-powered visual autocomplete system displays book covers as you type, reducing the number of steps to purchase. Learn how it's turning partial keystrokes into personalized book discoveries: https://amzn.to/4niePMp
-
-
Amazon's new Sensor Workbench simulator explores hundreds of warehouse sensor configurations in the time it takes to test just a few physical setups, using novel parallel-processing architecture and physics-based sensor modeling built on NVIDIA's Isaac Sim: https://amzn.to/47mPDzP
-
Amazon Science reposted this
Take a listen to today’s Decoder episode where David Luan discusses how our AGI Lab is building truly useful, highly reliable AI agents. Like people, agents don’t just learn by watching, they learn by doing. The team is doing great work to help make that possible at Amazon. Listen here: https://lnkd.in/eu8Vuy4V If it sounds like something you want to be part of, email us at agi-sflab-jobs@amazon.com.
-
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
-
-
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.
-
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
-
-
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
-