At this year’s CVPR, Swami Sivasubramanian's keynote considered the many ways that Amazon incorporates computer vision technology into its products and makes it directly available to customers through Amazon Web Services (AWS). This post takes a closer look at some of those applications. #AWS #ComputerVision #GenerativeAI
Amazon Science
Research Services
Seattle, Washington 361,025 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
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https://www.amazon.science
External link for Amazon Science
- Industry
- Research Services
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- 10,001+ employees
- Headquarters
- Seattle, Washington
- Founded
- 2020
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- 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
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At ICML, Amazon's papers focus on learning algorithms and reinforcement learning, while LLM-related research — on topics such as continual learning, hallucination mitigation, and privacy — remains well represented. Learn more about the accepted publications in our quick guide. #ICML2024 #MachineLearning
A quick guide to Amazon’s papers at ICML 2024
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"As AI applications scale, responsible AI has to scale right along with it, helping ensure responsible innovation. Over the last year we’ve created new partnerships, supported research, and introduced tools and capabilities to build and scale generative AI safely." Vasi Philomin, VP of Generative AI at Amazon Web Services (AWS), shares a progress update on the company's commitment to safe and responsible generative AI. #ResponsibleAI #GenAI #AWS
An update on Amazon's commitment to safe, responsible generative AI
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Next week we're in Washington, D.C. for the 47th International SIGIR 2024 Conference on Research and Development in Information Retrieval. Learn more about Amazon's accepted publications and workshops below. #SIGIR2024 #AmazonScience #InformationRetrieval
Amazon Science at SIGIR 2024
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Amazon Science reposted this
Rufus, our generative AI-powered shopping assistant, is now available to all of Amazon's U.S. customers. Like any great assistant, Rufus can help across a broad range of tasks and questions that you might ask. And while it's still early days for generative AI and Rufus, it's great to see how Rufus is already helping many customers make more informed shopping decisions. If you haven't already given it a try, I'd recommend you go Ask Rufus today. #Amazon #Rufus #GenerativeAI
Amazon's Rufus AI assistant now available to all US customers
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Today, Amazon announced its Trusted AI Challenge, a global university competition to drive secure innovation in generative AI technology, where $700,000 in cash prizes will be allocated across four top-performing teams. Learn more about the challenge and how to apply: https://lnkd.in/efXivfYD #GenAI #LLMs #ResponsibleAI
Introducing the Amazon Trusted AI Challenge
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This month’s newsletter features Amazon’s research at ICML 2024, CVPR 2024, and NAACL 2024, awards and recognitions in our science community, and several generative AI updates.
June 2024
Amazon Science on LinkedIn
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New information retrieval models are constantly being released, but evaluating them takes time. At The Web Conference, Amazon researchers proposed adding new models to an ensemble and then using Shapley value analysis to determine whether to keep them: https://lnkd.in/e3jyKUSM #LargeLanguageModels #LLMs #GNNs
Interpretable ensemble models improve product retrieval
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With the support of an Amazon Research Award, a team from Imperial College London and Amazon Web Services (AWS) received an Industry Track Best Paper Award at this year’s International Conference on Software Testing, Verification and Validation (ICST 2024). Their paper presents two new tools, fuzz-d and DafnyFuzz, which improves Dafny compiler testing. The researchers found 24 critical bugs, including 9 soundness issues, surpassing XDsmith, and their testing campaign led to improvements in the Dafny language specification, addressing ambiguous or under-documented language features: amzn.to/4cpKnuC #AutomatedReasoning
Randomised Testing of the Compiler for a Verification-Aware Programming Language
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How can a machine that generates language in such a mechanical way grasp words’ meanings? Applied scientist Matthew Trager (left) and vice president and distinguished scientist Stefano Soatto (right) discuss whether large language models understand the world: https://lnkd.in/ebRTAuez #LLMs #GenerativeAI #AWS