To transform scientific domains, foundation models will require physical-constraint satisfaction, uncertainty quantification, and specialized forecasting techniques that overcome data scarcity while maintaining scientific rigor.
Translating from natural to structured language, defining truth, and definitive reasoning remain topics of central concern in automated reasoning, but Amazon Web Services’ new Automated Reasoning checks help address all of them.
The language AI agents might speak, sharing context without compromising privacy, modeling agentic negotiations, and understanding users’ commonsense policies are some of the open scientific questions that researchers in agentic AI will need to grapple with.
A new dataset with over 238,000 images challenges and advances the state of the art in visual defect detection for complex retail applications.
From reimagining storage to serverless computing, Aurora continues to push the boundaries of what's possible in database technology.
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September 2, 2025Audible's ML algorithms connect users directly to relevant titles, reducing the number of purchase steps for millions of daily users. -
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Amazon Research Awards have opened their Fall call for proposals, which closes November 5, 2025.
University teams battle to harden and hack AI coding assistants in head-to-head tournament
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Led by David Luan and Pieter Abbeel, the lab will focus on developing new foundational capabilities for enabling useful AI agents.
The company's new state-of-the-art foundation models deliver frontier intelligence and industry-leading price performance.
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OOPSLA 20242024Access control policies are programs used to secure cloud resources. These polices should only grant the necessary permissions that a given application needs. However, it is challenging to write and maintain policies as applications and their required permissions change over time. In this paper, we focus on the Amazon Web Services (AWS) IAM policy language and present an approach that, given a policy, synthesizes
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Journal of Applied Instructional Design2024Innovations in digital, interactive learning resources are increasingly being produced for online learning or e-learning. One area that is growing as a result of the increase in learning resources is computer-based simulations. Interactive computer simulations and simulators for education can offer similar traditional hands-on opportunities for learners to engage in learning activities. However, less is
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BMVC 20242024Understanding product dimensions can be challenging, hindering individuals from accurately visualizing how items will fit and look within their spaces. Addressing this, we present a novel automated approach to overlay dimensional lines onto product images, empowering users to understand each subcomponent’s size and scale. Our proposed multi-stage approach uses 3 key components: 3DBoundDetector to identify
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2024This paper addresses the failure detection and recovery problem in visual-inertial based Simultaneous Localization and Mapping (SLAM) systems for large-scale indoor environments. Camera and Inertial Measurement Unit (IMU) are popular choices for SLAM in many robotics tasks (e.g., navigation) due to their complementary sensing capabilities and low cost. However, vision has inherent challenges even in well-lit
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ACM SUI 20242024Point cloud annotation plays a pivotal role in computer vision and machine learning by facilitating the creation of volumetric annotations in 3D space. While prior research has explored point cloud annotation in VR environments, its practical implementation in space-constrained office settings, where data annotation is typically conducted, remains an open question. In this paper, we introduce Annorama,
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Gretchen Ertl
The program offers unrestricted funds and other resources to support research at academic institutions and non-profit organizations in areas that align with our mission.
A global university competition to drive secure innovation in generative AI technology, which focuses on responsible AI and large language model coding security.
Credit: Wolfram Scheible
We partner with particular academic organizations across the world for deep and sustained collaborations in multiple research areas of mutual interest.
Courtesy of Pai-Ling Yin
We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities.
