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CUSTOMER-OBSESSED SCIENCE


 * A quick guide to Amazon’s 30+ papers at NAACL 2024
   June 07, 2024
   Although work involving large language models predominates, classical and
   more-general techniques remain well represented.
   Conversational AI
 * More reliable nearest-neighbor search with deep metric learning
   May 31, 2024
   Novel loss term that can be added to any loss function regularizes interclass
   and intraclass distances.
   Machine learning
 * Generalizing diffusion modeling to multimodal, multitask settings
   May 17, 2024
   A novel loss function and a way to aggregate multimodal input data are key to
   dramatic improvements on some test data.
   Computer vision


 * CONFERENCE CALENDAR
   
    * SIGMOD/PODS 2024
      Information and knowledge management
      June 9 - 14, 2024
    * NAACL 2024
      Conversational AI
      June 16 - 21, 2024
    * CVPR 2024
      Computer vision
      June 17 - 21, 2024

How Project P.I. helps Amazon remove imperfect products
June 03, 2024
A combination of generative AI and computer vision imaging tunnels is helping
Amazon proactively improve the customer experience.
Computer vision
Learn more


RECENT PUBLICATIONS

View all View all
 * Hector: An efficient programming and compilation framework for implementing
   relational graph neural networks in GPU architectures
   Kun Wu, Mert Hidayetoğlu, Xiang Song, Sitao Zhang, Da Zheng, Israt Nisa,
   Wen-mei Hwu
   ASPLOS 2024
   2024
   Relational graph neural networks (RGNNs) are graph neural networks with
   dedicated structures for modeling the different types of nodes and edges in
   heterogeneous graphs. While RGNNs have been increasingly adopted in many
   real-world applications due to their versatility and accuracy, they pose
   performance and system design challenges:… Read more
   Machine learning
 * Token alignment via character matching for subword completion
   Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan
   Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing
   Xiang
   ACL Findings 2024
   2024
   Generative models, widely utilized in various applications, can often
   struggle with prompts corresponding to partial tokens. This struggle stems
   from tokenization, where partial tokens fall out of distribution during
   inference, lead-ing to incorrect or nonsensical outputs. This paper examines
   a technique to alleviate the tokenization artifact on text… Read more
   Machine learning
 * Electrical manipulation of telecom color centers in silicon
   Aaron M. Day, Maddie Sutula, Jonathan R. Dietz, Alexander Raun, Denis
   Sukachev, Mihir Bhaskar, Evelyn L. Hu
   Nature Communications
   2024
   Silicon color centers have recently emerged as promising candidates for
   commercial quantum technology, yet their interaction with electric fields has
   yet to be investigated. In this paper, we demonstrate electrical manipulation
   of telecom silicon color centers by implementing novel lateral electrical
   diodes with an integrated G center ensemble in… Read more
   Quantum technologies
 * MinPrompt: Graph-based minimal prompt data augmentation for few-shot question
   answering
   Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei
   Wang
   ACL 2024
   2024
   Recent advances in few-shot question answering (QA) mostly rely on the power
   of pre-trained large language models (LLMs) and fine-tuning in specific
   settings. Although the pre-training stage has already equipped LLMs with
   powerful reasoning capabilities, LLMs still need to be fine-tuned to adapt to
   specific domains to achieve the best… Read more
   Conversational AI
 * GRAM: Generative retrieval augmented matching of data schemas in the context
   of data security
   Xuanqing Liu, Chris (Luyang) Kong, Runhui Wang, Patrick Song, Austin Nevins,
   Henrik Johnson, Nimish Amlath, Davor Golac
   KDD 2024
   2024
   Schema matching constitutes a pivotal phase in the data ingestion process for
   contemporary database systems. Its objective is to discern pairwise
   similarities between two sets of attributes, each associated with a distinct
   data table. This challenge emerges at the initial stages of data analytics,
   such as when incorporating a third-party table into… Read more
   Machine learning

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NEWS AND FEATURES

 * Amazon Research Awards recipients announced
   April 26, 2024
   Awardees, who represent 51 universities in 15 countries, have access to
   Amazon public datasets, along with AWS AI/ML services and tools.
 * The science behind Echo Frames
   April 09, 2024
   How the team behind Echo Frames delivered longer battery life and improved
   sound quality inside the slim form factor of a pair of eyeglasses.
 * How Thomas Hoe helps Amazon understand European customers
   March 21, 2024
   The principal economist and his team address unique challenges using
   techniques at the intersection of microeconomics, statistics, and machine
   learning.
   Economics


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Come be a part of a rapidly expanding $35 billion dollar global business. At
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Amazon brings buyers and sellers together. Our retail customers depend on us to
give them access to every product at the best possible… Read more
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Amazon is looking for a Senior Applied Scientist to help build the next
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