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.
Audible's ML algorithms connect users directly to relevant titles, reducing the number of purchase steps for millions of daily users.
With a novel parallel-computing architecture, a CAD-to-USD pipeline, and the use of OpenUSD as ground truth, a new simulator can explore hundreds of sensor configurations in the time it takes to test just a few physical setups.
From reimagining storage to serverless computing, Aurora continues to push the boundaries of what's possible in database technology.
Amazon VP and distinguished scientist Byron Cook explains how AWS's new Automated Reasoning checks address key challenges in automated reasoning: translating natural to structured language, defining truth, and definitive reasoning.
Customer-obsessed science
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August 11, 2025Trained on millions of hours of data from Amazon fulfillment centers and sortation centers, Amazon’s new DeepFleet models predict future traffic patterns for fleets of mobile robots. -
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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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AAAI 2025 Workshop on AI for Time Series Analysis2025Time series forecasting has long been a focus of research across diverse fields, including economics, energy, healthcare, and traffic management. Recent works have introduced innovative architectures for time series models, such as the Time-Series Mixer (TSMixer), which leverages multilayer perceptrons (MLPs) to enhance prediction accuracy by effectively capturing both spatial and temporal dependencies
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IEEE Symposium on Security and Privacy 20252025We propose plausible post-quantum (PQ) oblivious pseudorandom functions (OPRFs) based on the Power-Residue PRF (Damgård CRYPTO’88), a generalization of the Legendre PRF. For security parameter λ, we consider the PRF Goldk(x) that maps an integer x modulo a public prime p = 2λ ·g+ 1 to the element (k + x) g mod p, where g is public and log g ≈ 2λ. At the core of our constructions are efficient novel methods
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CVPR 2025 Workshop on Efficient Large Vision Models2025Diffusion models enables high-quality virtual try-on (VTO) with their established image synthesis abilities. Despite the extensive end-to-end training of large pre-trained models involved in current VTO methods, real-world applications often prioritize limited training and inferencing/serving/deployment budgets for VTO. To solve this obstacle, we apply Doob’s h-transform efficient fine-tuning (DEFT) for
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EMNLP 2024 Workshop on Customizable NLP, Transactions on Machine Learning Research2025Precise estimation of downstream performance in large language models (LLMs) prior to training is essential for guiding their development process. Scaling laws analysis utilizes the statistics of a series of significantly smaller sampling language models (LMs) to predict the performance of the target LLM. For downstream performance prediction, the critical challenge lies in the emergent abilities in LLMs
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Amazon Technical Reports2025We present Amazon Nova Premier, our most capable multimodal foundation model and teacher for model distillation. Nova Premier processes text, images, and videos with a one-million token context window enabling analysis of large codebases, long documents, and long videos in a single prompt. It also enables customers to use Amazon Bedrock to create customized variants of Amazon Nova Pro, Nova Lite, and Nova
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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.
