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Source: New York TimesNovember 16, 2023Real-world deployment requires notions of fairness that are task relevant and responsive to the available data, recognition of unforeseen variation in the “last mile” of AI delivery, and collaboration with AI activists.
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November 10, 2023Curating the neural-architecture search space and taking advantage of human intuition reduces latency on real-world applications by up to 55%.
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November 02, 2023New method improves the state of the art in knowledge distillation by leveraging a knowledge base of teacher predictions.
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December 6 - 10, 2023
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December 10 - 16, 2023
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January 4 - 8, 2024
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November 30, 2023Registration for the online courses is open now and closes on Jan. 5, 2024.
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November 16, 2023Outlive: The Science and Art of Longevity by Peter Attia named as the best science book of 2023.
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November 09, 2023Amazon Scholar received Committee of Presidents of Statistical Societies Presidents’ Award for his achievements in statistics.
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October 10, 2023The system has expanded from generating peak computation-load forecasts one year in advance to a series of forecasts that include per-minute forecasts several months into the future.
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2023Contextual query rewriting (CQR) is a crucial component in Conversational AI agents, leveraging the contextual information from previous user-agent conversations to improve the comprehension of current user intent. However, traditional CQR methods often concentrate on supervised fine-tuning only, neglecting the opportunities to learn from user feedback to align with user preferences. Inspired by recent
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2023Embodied task completion is a challenge where an agent in a simulated environment must predict environment actions to complete tasks based on natural language instructions and egocentric visual observations. We propose a variant of this problem where the agent predicts actions at a higher level of abstraction called a plan which more directly tests language understanding and reasoning. We show that multimodal
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2023E-commerce product catalogs contain billions of items. Most products have lengthy titles, as sellers pack them with product attributes to improve retrieval, and highlight key product aspects. This results in a gap between such unnatural product titles and how customers refer to them. It also limits how e-commerce stores can use these seller-provided titles for recommendation, QA, or review summarization
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2023Generative models have been widely applied to solve extractive tasks, where parts of the input are extracted to form the desired output, and have achieved significant success. For example, in extractive question answering (QA), generative models have constantly yielded state-of-the-art results. In this work, we study the issue of tokenization inconsistency that is commonly neglected in training these models
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Graph meets LLM: A novel approach to collaborative filtering for robust conversational understanding2023A Personalized Query Rewriting system aims to reduce defective queries to ensure robust conversational functionality by considering individual user behavior and preferences. It’s usually structured as a search-based system, maintaining a user history index of past successful interactions with the conversational AI. However, this approach encounters challenges when dealing with unseen interactions, which
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December 04, 2023UT Austin-Amazon Science Hub seeks to advance research in artificial intelligence, machine learning, and large language models.
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November 30, 2023The awards support four research projects exploring the intersection of AI and health care.
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November 21, 2023Through the UW + Amazon Science Hub, the UW associate professor and Science Hub advisory board member is helping to realize a future where robots and people collaborate on tasks.
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October 24, 2023Jetter says her goals include lowering barriers to understanding technology and cultivating a more diverse workforce.
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October 16, 2023Former Amazon applied science intern Margarida Ferreira conducts research to make complex cloud resources easier to manage.
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October 05, 2023Wharton professor Jessie Handbury lends her expertise to Amazon’s PXTCS Team as an Amazon Visiting Academic.