Customer-obsessed science
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September 30, 2024From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money.
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September 19, 2024“Agentic workflows” that use multiple, fine-tuned smaller LLMs — rather than one large one — can improve efficiency.
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September 16, 2024A position paper presented at ACL proposes a framework for more-accurate human evaluation of LLMs.
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September 29 - October 4, 2024
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October 21 - 25, 2024
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September 25, 2024
Now open until November 6, Amazon Research Awards will be seeking proposals in the following research areas: AI for Information Security, Automated Reasoning, AWS AI, AWS Cryptography, and Sustainability.
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2024Computing the optimal transport distance between statistical distributions is a fundamental task in machine learning. One remarkable recent advancement is en- tropic regularization and the Sinkhorn algorithm, which utilizes only matrix scaling and guarantees an approximated solution with near-linear runtime. Despite the success of the Sinkhorn algorithm, its runtime may still be slow due to the potentially
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DesignCon 20242024Ethernet speeds of 112Gbps/lane pose significant challenges for designing switch systems to meet increased throughput demands of today’s data centers with high traffic volumes from artificial intelligence (AI) servers. Due to increased PCB losses at such high frequencies, fly-over cables are being promoted for the longest length channels. Fly-over cables pose manufacturing reliability and mechanical challenges
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AAAI 2024 Workshop on AI for Financial Services2024Timely and accurate reconciliation of the company’s finan-cial information is an important internal control over the company’s financial reporting to support quarterly and annual external financial compliance activities. However, due to the complexity of typical end-to-end business system integrations, the process to research and investigate reconciliation items can be manual and time consuming. This paper
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TACAS 20242024Generating proofs of unsatisfiability is a valuable capability of most SAT solvers, and is an active area of research for SMT solvers. This paper introduces the first method to efficiently generate proofs of unsatisfiability specifically for an important subset of SMT: SAT Modulo Monotonic Theories (SMMT), which includes many useful finite-domain theories (e.g., bit vectors and many graph-theoretic properties
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IEEE/ACM Transactions on Audio, Speech, and Language Processing2024The evaluation of spoken language understanding (SLU) systems is often restricted to assessing their global performance or examining predefined subgroups of interest. However, a more detailed analysis at the subgroup level has the potential to uncover valuable insights into how speech system performance differs across various subgroups. In this work, we identify biased data subgroups and describe them at
Resources
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We collaborate with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly.
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Learn more about the awards and recognitions that Amazon researches from around the world have been honored with during their tenure.