Amazon Developer Blogs

Amazon Developer Blogs

Showing posts by Larry Hardesty

September 10, 2019

Larry Hardesty

Research spans the five core areas of Alexa functionality, as well as more-general questions in machine learning.

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July 29, 2019

Larry Hardesty

The new focus areas for the Amazon Research Awards, which provide up to $80,000 in funding and up to $20,000 in Amazon Web Services Promotional Credits to academic researchers investigating topics related to machine learning, were announced this month. The application period opens on September 10.

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June 27, 2019

Larry Hardesty

Student system demonstrates how "early exit" strategies could improve Alexa's efficiency, by letting neural networks break off computations when they have high confidence in their solutions.

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October 25, 2018

Larry Hardesty

At this year's Conference on Empirical Methods in Natural Language Processing (EMNLP), Amazon researchers are cohosting what they hope will be the first in a series of annual workshops that will both catalyze and publicize research on automatic fact verification.

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August 29, 2018

Larry Hardesty

Amazon papers at Interspeech 2018 examine ways that interaction histories can improve customers' Alexa experiences, from "collaborative filtering" to infer customers' tastes to methods that use the immediate "context" of a customer's requests to increase the accuracy of speech understanding systems.

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August 24, 2018

Larry Hardesty

3 questions with Björn Hoffmeister, the senior manager for machine learning in the Alexa Automatic Speech Recognition group, about this year's Interspeech conference and research trends in the speech technology field.

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August 19, 2018

Larry Hardesty

Two months after Amazon released a dataset containing assertions of fact and Wikipedia data that either substantiate or refute them, preliminary results of a competition to use the dataset to train fact verification systems indicate a 134% improvement over baseline.

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July 02, 2018

Larry Hardesty

The deadline for the 2018 Amazon Research Awards, a grant program that provides up to $80,000 in funding and $20,000 in Amazon Web Services Promotional Credits to academic researchers investigating topics related to machine learning, is September 15. 

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