Announcing Amazon Nova, a new generation of foundation models (FMs) that have state-of-the-art intelligence across a wide range of tasks, and industry-leading price performance. With the ability to process text, image, and video as prompts, customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or generate videos and other multimedia content. Learn more about the new Amazon Nova models available in Amazon Bedrock: https://amzn.to/4gkYd3j #AmazonNova #AmazonBedrock #AWSreInvent
Amazon Science
Research Services
Seattle, Washington 372,222 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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Our latest newsletter features our top blog posts and publications of 2024, new research on LLM-enhanced topic modeling, impactful work in cryptography and automated reasoning, and insights on causal inference.
January 2025
Amazon Science on LinkedIn
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“QKD doesn’t solve the authentication problem” is a misnomer, say AWS researchers: key exchange protocols and authentication mechanisms are primitives for solving distinct problems and must be integrated in a secure communication system.
Quantum key distribution and authentication: Separating facts from myths
amazon.science
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At ASPLOS/EuroSys 2025, AWS is sponsoring a machine learning optimization challenge that invites teams to develop the fastest implementation of Llama 3.2 1B on Amazon ML hardware. Participants will leverage the Neuron Kernel Interface (NKI) to optimize model performance on AWS purpose-built AI chips, Trainium and Inferentia. Teams can win up to $25,000 for open-sourcing their solutions. Learn more:
Optimized NKI Implementation of Llama 3.2 1B (Inference)
github.com
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Our most-viewed papers of 2024 span cloud databases, anomaly detection on graphs, recession prediction, and Amazon's new Nova foundation models. Explore the most popular publications authored by Amazon scientists and collaborators from this year: https://amzn.to/3VTj1qG #AmazonScience
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As 2024 comes to a close, we've rounded up our 10 most-viewed blog posts of the year. Explore our breakthrough research in large language models, cryptography, automated reasoning, and more: https://amzn.to/3Pa95Fl #AmazonScience
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Chronos-Bolt is our newest open-source foundation model for time series forecasting, which has been integrated into AutoGluon-TimeSeries. It delivers accurate zero-shot forecasts up to 250 times faster than the original Chronos models. Chronos-Bolt is based on the T5 encoder-decoder architecture and has been trained on nearly 100 billion time series observations.
Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon | Amazon Web Services
aws.amazon.com
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Announcing the 10 recipients of the Amazon Research Awards, representing 10 universities. Recipients will have access to Amazon public datasets, AWS AI/ML services and tools, and opportunities to collaborate with Amazon scientists. The awards span three key research areas: AI for Information Security, Foundation Model Development, and Sustainability. Learn more about the recipients and their research projects: https://amzn.to/4gpHV9s #AmazonResearchAwards #GenerativeAI #AWS Berkay Celik Kaize Ding Christopher Kruegel Sijia Liu Yue Zhao Lu Cheng Samet Oymak Hua W.
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IAM Access Analyzer’s new policy recommendations tool uses automated reasoning to recognize unused permissions and recommend their removal, helping customers enforce the principle of least privilege (i.e., granting only the necessary permissions). #AutomatedReasoning
New AWS tool recommends removal of unused permissions
amazon.science
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In a paper at this year's NeurIPS conference, Amazon researchers investigated the conditions in which transformer training will converge to a global optimum and found that, in some cases, Gaussian attention kernels may work better than the more common softmax: https://amzn.to/3VJBLc9 #GenerativeAI #LLMs #NeurIPS2024
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