Reminder: Amazon Research Awards fall 2025 deadline is November 5. Successful applicants will receive unrestricted funds, AWS promotional credits, and training resources: https://amzn.to/3Wzm5YO #AmazonResearchAwards
Amazon Science
Research Services
Seattle, Washington 381,324 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 present a novel large-scale dataset for defect detection in a logistics setting. Recent work on industrial anomaly detection has primarily focused on manufacturing scenarios with highly controlled poses and a limited number of object categories. Existing benchmarks like MVTec-AD [6] and VisA [33] have reached saturation, with state-of-the-art methods achieving up to 99.9% AUROC scores. In contrast to manufacturing, anomaly detection in retail logistics faces new challenges, particularly in the diversity and variability of object pose and appearance. Leading anomaly detection methods fall short when applied to this new setting. To bridge this gap, we introduce a new benchmark that overcomes the current limitations of existing datasets. With over 230,000 images (and more than 29,000 defective instances), it is 40 times larger than MVTec and contains more than 48,000 distinct objects. To validate the difficulty of the problem, we conduct an extensive evaluation of multiple state-of-the-art anomaly detection methods, demonstrating that they do not surpass 56.96% AUROC on our dataset. Further qualitative analysis confirms that existing methods struggle to leverage normal samples under heavy pose and appearance variation. With our large-scale dataset, we set a new benchmark and encourage future research towards solving this challenging problem in retail logistics anomaly detection. The dataset is available for download under https://lnkd.in/etjMbeT6. Learn more: https://amzn.to/4pMvIRn
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Announcing Amazon’s new AI PhD Fellowship program, which will provide two years of funding for selected PhD students at nine universities who are pursuing research in machine learning, computer vision, and natural-language processing. The program provides $10 million annually in student funding and $24 million annually in AWS credits, with the goal of driving innovations that will underwrite the next step in the evolution of practical AI. Learn more: http://amzn.to/4ngtyHq #AmazonAIFellowship
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Amazon researchers have released Chronos-2, a 120M-parameter time series foundation model that offers zero-shot support for univariate, multivariate, and covariate-informed forecasting tasks. Chronos-2 delivers state-of-the-art zero-shot performance across multiple benchmarks (including fev-bench and GIFT-Eval), with the largest improvements observed on tasks that include exogenous features. In head-to-head comparisons, it outperforms its predecessor, Chronos-Bolt, over 90% of times. Key features: • Handles univariate & multivariate forecasting • Supports numeric & categorical covariates • Supports cross-learning across multiple series • Context length up to 8192 steps Read the full blog: http://amzn.to/3WO0WKC
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At this year's International Conference on Computer Vision (ICCV), Amazon researchers are presenting papers ranging from long video representation learning to zero-shot video editing, plus hosting workshops and booth demos: https://amzn.to/4h5ZqNf #ICCV2025
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Agentic AI systems can autonomously make online purchases, build software, and research business trends. But how do they actually work? Amazon VP and distinguished engineer Marc Brooker breaks down the core components of agents and explains how AWS’s new Bedrock AgentCore framework implements them: https://amzn.to/4hh9hzV
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Amazon and Carnegie Mellon University today announced the CMU-Amazon AI Innovation Hub. Amazon will fund research projects, doctoral fellowships, and community-building initiatives designed to accelerate innovation in foundational and emerging technologies across generative AI, robotics, natural language processing, and cloud computing:
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When vulnerable communities remain invisible on maps, they can’t access basic services or emergency aid. Amazon VP & CTO Werner Vogels explores how new technologies are helping produce maps that integrate topographical, infrastructural, seasonal, and real-time data for humanitarian efforts: https://amzn.to/4h7dtlH
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The Conference on Language Modeling (COLM) comes to a close after a productive week in Montreal. We enjoyed connecting with leading researchers and sharing insights across the field. Thank you to everyone who engaged with our team! #COLM2025
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