Announcing the Amazon Research Awards fall 2024 call for proposals, which awards grant recipients unrestricted funds and AWS promotional credits. We're seeking proposals for the following topics: • AI for Information Security • Automated Reasoning • AWS AI • AWS Cryptography • Sustainability Learn more about the proposals, deadlines, and how to apply. #AmazonResearchAwards
Amazon Science
Research Services
Seattle, Washington 368,797 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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In his blog post, Amazon Web Services (AWS) machine learning architect Burak Gozluklu explains how decomposing generative-AI tasks into subtasks that can be assigned to smaller LLMs can reduce costs, and he analyzes the trade-off between cost and originality inherent in the approach, providing a “mental model” for when task decomposition makes sense and when it doesn’t. #MachineLearning #GenerativeAI #LLM
How task decomposition and smaller LLMs can make AI more affordable
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Earlier this week, Amazon and the Max Planck Institute for Intelligent Systems Science Hub jointly hosted their fall research symposium, which featured keynotes, lightning talks, breakout discussions, and networking sessions. This symposium is just one of the ways in which we collaborate with Max Planck to bring research communities together to collaborate and showcase the latest innovations and advancements. Learn more about our partnership here: https://sciencehub.mpg.de/ #AmazonScience #MaxPlanck
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To address the effects of cognitive bias on human evaluations of large language models, Amazon researchers propose ConSiDERS, a framework that emphasizes breaking content into easily verified facts, considering diverse evaluator perspectives, and incorporating contextual factors to improve accuracy and responsibility. #GenerativeAI #LLM
Accounting for cognitive bias in human evaluation of large language models
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Amazon Science reposted this
It is day two of the Max Planck Society and Amazon Science #research symposium. Today's sessions take place in the Amazon building in #Tübingen with lots of scientists talking about the latest craze in #AI, #MachineLearning and the practical and scientific progress that can be made through cooperation. https://sciencehub.mpg.de/
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Amazon Science reposted this
Today, we kick off the Amazon and Max Planck Science Hub research symposium, bringing together our science communities. At this two-day event, we and the #Amazon team in #Tübingen showcase the latest innovations and advancements, there are keynote and lightning talks, breakout discussions and – of course – many opportunities for networking. #MaxPlanck #Amazon Amazon Science
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Elliptic-curve cryptography (ECC) is a public-key scheme that promises post-quantum security. With microarchitecture-specific optimization and automated reasoning, Amazon scientists made “25519” ECC (named for a large prime) more efficient and trustworthy. #AutomatedReasoning #Cryptography
Better-performing “25519” elliptic-curve cryptography
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This month’s newsletter features insights into Amazon's research at CAV 2024 and ACL 2024, advances like cross-region inference on Amazon Bedrock, insights into the future of generative AI with Amazon Web Services (AWS) CEO Matt Garman, updates on academic collaborations, and more.
August 2024
Amazon Science on LinkedIn
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Training computer vision models depends on quantifying images’ similarity, but similarity can be a matter of concepts — not just pixel values. At CVPR 2024, Amazon researchers showed how to leverage vision-language models to quantify images’ conceptual similarity according to the length of the descriptions required to discriminate them: images easily discriminated by short descriptions are not very similar, but images that require a lot of text to distinguish them are similar. #ComputerVision #ExplainableAI
Quantifying images' “conceptual similarity”
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Amazon’s four papers at the International Conference on Very Large Databases (VLDB) deal with time series forecasting, the security of Spark jobs, more-realistic benchmarks for database applications, and the innovations that enable Amazon Aurora Serverless to balance resource elasticity with high usage rates. ➡️ A flexible forecasting stack ➡️ Membrane – Safe and performant data access controls in Apache Spark in the presence of imperative code ➡️ Why TPC is not enough: An analysis of the Amazon Redshift fleet ➡️ Resource management in Aurora Serverless Read the full papers here: https://lnkd.in/epTGbuCW #VLDB2024 #CloudComputing #MachineLearning