Customer-obsessed science


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June 27, 2022A new distributed-training library achieves near-linear efficiency in scaling from tens to hundreds of GPUs.
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June 24, 2022Technique that mixes public and private training data can meet differential-privacy criteria while cutting error increase by 60%-70%.
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June 23, 2022Two-day RecSys workshop that extends the popular REVEAL to include CONSEQUENCES features Amazon organizers, speakers.
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July 10 - 15, 2022
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July 11 - 15, 2022
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June 23, 2022EMVA Young Professional Award honors “outstanding and innovative work of a student or a young professional in the field of machine vision or image processing.”
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June 16, 2022Amazon yesterday announced its picks for 2022 Best Books of the Year So Far, including its top book within the general-interest science category, “Stolen Focus: Why You Can’t Pay Attention — and How to Think Deeply Again”.
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June 15, 2022Digital assistants developed by competing teams helped users perform cooking and home-improvement tasks.
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June 13, 2022Natural Language Processing with AWS AI Services seeks to demystify NLP for just about anyone.
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AutoML Conference 20222022Bayesian optimization (BO) is a widely popular approach for the hyperparameter optimization (HPO) in machine learning. At its core, BO iteratively evaluates promising configurations until a user-defined budget, such as wall-clock time or number of iterations, is exhausted. While the final performance after tuning heavily depends on the provided budget, it is hard to pre-specify an optimal value in advance
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2022In this paper, we present CopyCat2 (CC2), a novel model capable of: a) synthesizing speech with different speaker identities, b) generating speech with expressive and contextually appropriate prosody, and c) transferring prosody at fine-grained level between any pair of seen speakers. We do this by activating distinct parts of the network for different tasks. We train our model using a novel approach to
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2022Acoustic events are sounds with well-defined spectro-temporal characteristics which can be associated with the physical objects generating them. Acoustic scenes are collections of such acoustic events in no specific temporal order. Given this natural linkage between events and scenes, a common belief is that the ability to classify events must help in the classification of scenes. This has led to several
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ESA 20222022Motivated by a real-world vehicle routing application, we consider the maximum-weight independent set problem: Given a node-weighted graph, find a set of independent (mutually nonadjacent) nodes whose node-weight sum is maximum. Some of the graphs arising in the vehicle routing application are large, having hundreds of thousands of nodes and hundreds of millions of edges. To solve instances of this size
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2022Neural vocoders have recently demonstrated high quality speech synthesis, but typically require a high computational complexity. LPCNet was proposed as a way to reduce the complexity of neural synthesis by using linear prediction (LP) to assist an autoregressive model. At inference time, LPCNet relies on the LP coefficients being explicitly computed from the input acoustic features. That makes the design
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June 14, 2022Funding will go toward assisting diverse entrepreneurs in the fields of robotics and automation.
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June 03, 2022Submission period closes on July 8.
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May 27, 2022The first Amazon Science Hub to exist outside the US will focus on driving AI research and development throughout Germany.
Working at Amazon
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June 24, 2022The field motivated him to pursue a PhD, which eventually led him to Amazon.
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June 23, 2022Among the ‘first wave’ of scientists to gain a PhD in quantum technology, the senior manager of research science discusses her two-decade-long career journey.
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June 21, 2022How she moved across the world to discover a passion for (and a career in) machine learning.