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
Amazon Science
Research Services
Seattle, Washington 359,221 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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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
multicore.doc.ic.ac.uk
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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
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To address the challenge of creating a balanced dataset when sensitive-group information is unavailable at deployment time, Amazon researchers used a small labeled dataset to train a proxy function that assigns sampling probabilities based on the proxy classification, without revealing significantly more about the group membership of any individual sample than can be ascertained from base rates alone. Their work received Best Paper Award at this year's Symposium on Foundations of Responsible Computing (FORC 2024). Read the full paper: amzn.to/45DPVzj #MachineLearning
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From investing in new carbon-free energy projects to advocating for grid modernization and collaborating with key stakeholders around the world, here are five ways Amazon is working toward a cleaner energy future. #TheClimatePledge #Sustainability
Five ways Amazon is preparing for the energy demands of the future
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CVPR 2024 ✅ Thanks to everyone who visited the Amazon Science booth at last week's conference. Stay up-to-date with Amazon's research in computer vision here: amzn.to/computer-vision
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Congrats to JQI Fellow, UMD Adjunct Professor, and Amazon Scholar Alexey Gorshkov, who supports our team at the AWS Center for Quantum Computing, for being honored with the IEEE Photonics Society Quantum Electronics Award for his research contributions in the areas of understanding, designing, and controlling interacting quantum systems. Learn more about the award: amzn.to/3z6UaHw Amazon Web Services (AWS), UMIACS, National Institute of Standards and Technology (NIST), Joint Quantum Institute #QuantumComputing #AWS
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The approach utilizes modality-specific encoders and task-specific decoders to create a shared diffusion space. In experiments, Amazon researchers demonstrate improved performance compared to single-purpose models, highlighting the potential of multimodal and multitask training in diffusion models. #ComputerVision #GenerativeAI
Generalizing diffusion modeling to multimodal, multitask settings
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Amazon Science reposted this
🚀 Claude 3.5 Sonnet, Anthropic’s newest and most intelligent model is available to customers today on Amazon Bedrock: https://lnkd.in/gSdBKk8s This model leads the frontier of general intelligence—it is awesome at completing complex tasks, context-sensitive customer support, orchestrating multi-step workflows, streamlining code translations, and creating revenue-generating user-facing applications. Other Claude 3.5 Sonnet strengths include: 📊 Data science & analysis: Enhancing human expertise in data science by navigating unstructured data, and leveraging multiple user provided tools to generate insights. When given access to a coding environment, it produces high-quality statistical visualizations and actionable predictions, ranging from business strategies to real-time product trends. 🔍 Vision capabilities: Processing images, particularly when interpreting charts and graphs that require visual understanding. It can accurately transcribe text from imperfect images—a core capability for industries such as retail, logistics, healthcare, and financial services, where AI may be able to garner more insights from an image, graphic or illustration than from text alone, for use cases like trend analysis, patient triage, and research summaries. Claude 3.5 Sonnet outperforms Anthropic’s previously most capable model, Claude 3 Opus, at one-fifth the cost. Already, AWS customers across industries—from DoorDash to WPP to Swindon Borough Council—are enjoying the speed they can test, build, and deploy GenAI applications on Bedrock with Anthropic’s Claude models. See what you can build with us on #AWS ⬆️ (link above).
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At this week’s CVPR, Swami Sivasubramanian, VP of AI and Data at Amazon Web Services (AWS), will present a keynote on ‘Computer vision at scale: Driving customer innovation and industry adoption’, where he will share his insights on how the company is leveraging AI and data to solve urgent needs through the newest Amazon engines, managed services, and applications. Find our team at booth 1525 to see demos, learn more about our research, and discuss career opportunities: amzn.to/3xlCg3a #CVPR2024
Amazon Science at CVPR 2024
amazon.science