In experiments involving real quantum devices and algorithms, automated-reasoning-based method for mapping quantum computations onto quantum circuits is 26 times as fast as predecessors.
Novel training procedure and decoding mechanism enable model to outperform much larger foundation model prompted to perform the same task.
Prototype is the first realization of a scalable, hardware-efficient quantum computing architecture based on bosonic quantum error correction.
Training infrastructure, benchmarks, responsible-AI methodology, and more.
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The Amazon AGI SF Lab will focus on developing new foundational capabilities for enabling useful AI agents.
Customer-obsessed science
Research areas
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March 21, 2025AI systems that integrate meteorological, geospatial, and socioeconomic data can deliver warnings that are more localized and more timely. -
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December 24, 2024
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The submission period will open March 19 and close April 30.
Inaugural global university competition focused on advancing secure, trusted AI-assisted software development.
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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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Nature Communications2025As climate change accelerates, human societies face growing exposure to disasters and stress, highlighting the urgent need for effective early warning systems (EWS). These systems monitor, assess, and communicate risks to support resilience and sustainable development, but challenges remain in hazard forecasting, risk communication, and decision-making. This perspective explores the transformative potential
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2025Can integrating spectral and curvature signals unlock new potential in graph representation learning? Non-Euclidean geometries, particularly Riemannian mani-folds such as hyperbolic (negative curvature) and spherical (positive curvature), offer powerful inductive biases for embedding complex graph structures like scale-free, hierarchical, and cyclic patterns. Meanwhile, spectral filtering excels at processing
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2025Large Language Models (LLMs) are increasingly used as chatbots, yet their ability to personalize responses to user preferences remains limited. We introduce PREFEVAL, a benchmark for evaluating LLMs’ ability to infer, memorize and adhere to user preferences in a long-context conversational setting. PREFEVAL comprises 3,000 manually curated user preference and query pairs spanning 20 topics. PREFEVAL contains
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IEEE Robotics and Automation Letters2025We extend our previous work, PoCo [1], and present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval and reranking into an end-to-end model and keeps the consistency of using Context-of-Clusters (CoCs) [2] for feature processing. Unlike prior approaches that primarily focus on the RGB domain for place recognition reranking
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AISTATS 20252025Covariates provide valuable information on external factors that influence time series and are critical in many real-world time series forecasting tasks. For example, in retail, covariates may indicate promotions or peak dates such as holiday seasons that heavily influence demand forecasts. Recent advances in pre-training large language model architectures for time series forecasting have led to highly
Academia
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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.
The Amazon Nova AI Challenge is 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.
