Customer-obsessed science
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July 19, 2024In his keynote address at CVPR, Swami Sivasubramanian considers the many ways that Amazon incorporates computer vision technology into its products and makes it directly available to Amazon Web Services’ customers. -
July 17, 2024Learning algorithms and reinforcement learning are areas of focus, while LLM-related research — on topics such as continual learning, hallucination mitigation, and privacy — remains well represented.
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July 03, 2024Gradient-boosted decision trees aggregate model outputs, and Shapley values help identify the most useful models for the ensemble.
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July 21 - 27, 2024
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August 11 - 16, 2024
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August 25 - 29, 2024
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July 08, 2024
University students will compete for cash prizes in a competition to securely advance LLMs that code. To apply, submit your application before the deadline on September 1, 2024.
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2024Multi-document summarization (MDS) is a challenging task, often decomposed to subtasks of salience and redundancy detection, followed by text generation. In this context, alignment of corresponding sentences between a reference summary and its source documents has been leveraged to generate training data for some of the component tasks. Yet, this enabling alignment step has usually been applied heuristically
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2024Multimodal Large Language Models (MLLMs) excel at synthesizing key information from diverse sources. However, generating accurate and faithful multimodal summaries is challenging, primarily due to the lack of appropriate multimodal datasets for fine-tuning that meaningfully integrate textual and visual modalities. To address this gap, we present a new dataset specifically designed for image-text multimodal
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2024End-to-end neural diarization (EEND) models offer significant improvements over traditional embedding-based Speaker Diarization (SD) approaches but falls short on generalizing to long-form audio with large number of speakers. EEND-vector-clustering method mitigates this by combining local EEND with global clustering of speaker embeddings from local windows, but this requires an additional speaker embedding
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SAT 20242024Quantum Computing (QC) is a new computational paradigm that promises significant speedup over classical computing in various domains. However, near-term QC faces numerous challenges, including limited qubit connectivity and noisy quantum operations. To address the qubit connectivity constraint, circuit mapping is required for executing quantum circuits on quantum computers. This process involves performing
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2024Speaker Diarization (SD) systems are typically audio-based and operate independently of the ASR system in traditional speech transcription pipelines and can have speaker errors due to SD and/or ASR reconciliation, especially around speaker turns and regions of speech overlap. To reduce these errors, a Lexical Speaker Error Correction (LSEC), in which an external language model provides lexical information
Resources
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We look for talent from around the world for applied scientists, data scientists, economists, research scientists, scholars, academics, PhDs, and interns.
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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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Photo by Zak BrickettLearn more about the awards and recognitions that Amazon researches from around the world have been honored with during their tenure.
