AWS Machine Learning Blog

Bring Machine Learning to iOS apps using Apache MXNet and Apple Core ML

With the release of Core ML by Apple at WWDC 2017, iOS, macOS, watchOS and tvOS developers can now easily integrate a machine learning model into their app. This enables developers to bring intelligent new features to users with just a few lines of code. Core ML makes machine learning more accessible to mobile developers. […]

Read More

Apple Core ML and Keras Support Now Available for Apache MXNet

We’re excited about the availability of Apache MXNet version 0.11. With this release, MXNet hit major milestones, both in terms of community development and as an incubating Apache project. Contributors—including developers from Apple, Samsung and Microsoft—committed code to this release. There are over 400 contributors on the project so far. The project has now fully […]

Read More

Use Synonyms and Slot Value Validation in your Amazon Lex Chatbots

You can now provide synonyms for slot values in Amazon Lex. With the synonym functionality, you can specify multiple synonyms for a slot value in your chatbot. The synonyms specified are resolved to the corresponding slot values. For example, if the slot value is “comedy”, with “funny” and “humorous” specified as synonyms, then user input […]

Read More

Benchmarking Training Time for CNN-based Detectors with Apache MXNet

This is a guest post by Cambron Carter, Director of Engineering, and Iris Fu, Computer Vision Scientist at GumGum. In their own words, “GumGum is an artificial intelligence company with deep expertise in computer vision, which helps their customers unlock the value of images and videos produced daily across the web, social media, and broadcast […]

Read More

AWS CloudTrail Integration is Now Available in Amazon Lex

Amazon Lex is now integrated with AWS CloudTrail, a service that enables you to log, continuously monitor, and retain events related to API calls across your AWS infrastructure, to provide a history of API calls for your account. Amazon Lex API calls are captured from the Amazon Lex console or from your API operations using […]

Read More

A/B Testing at Scale – Amazon Machine Learning Research

This week, Amazon presented an academic paper at KDD 2017, the prestigious machine learning and big data conference. The paper shows Amazon’s research into tools that help us measure customers’ satisfaction and better learn how we can implement ideas that delight them. Specifically, we show an efficient bandit algorithm for multivariate testing, where one seeks […]

Read More

Apache MXNet Release Candidate Introduces Support for Apple’s Core ML and Keras v1.2

Apache MXNet is an effort undergoing incubation at the Apache Software Foundation (ASF). Last week, the MXNet community introduced a release candidate for MXNet v0.11.0, its first as an incubating project, and the community is now voting on whether to accept this candidate as a release. It includes the following major feature enhancements: A Core […]

Read More