Artificial Intelligence
Category: Artificial Intelligence
Export your Amazon Lex bot schema to the Alexa Skills Kit
You can now export your Amazon Lex chatbot schema into the Alexa Skills Kit to simplify the process of creating an Alexa skill. Amazon Lex now provides the ability to export your Amazon Lex chatbot definition as a JSON file that can be added to the Alexa Skills Kit (ASK). Once you add the bot schema file […]
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. […]
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 […]
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 […]
How Amazon Polly Breathed Life into Dan Brown’s Digital Assistant
This is a guest post by Damian Dutton, CEO and Founder of Beeliked. Beeliked is, in their own words, “a digital marketing platform offering a wide range of campaigns to help brands engage with their existing audiences and reach new customers through the viral and social nature of the contests and games.” To support the […]
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 […]
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 […]
Build Your Own Face Recognition Service Using Amazon Rekognition
March 2025: This post was reviewed and updated for accuracy. Amazon Rekognition is a service that simplifies adding image analysis to your applications. It uses the same proven, highly scalable deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images daily for Amazon Prime Photos. Its facial recognition feature allows you […]
Analyze Emotion in Video Frame Samples Using Amazon Rekognition on AWS
This guest post is by AWS Community Hero Cyrus Wong. Cyrus is a Data Scientist at the Hong Kong Vocational Education (Lee Wai Lee) Cloud Innovation Centre. He has achieved all 7 AWS Certifications and enjoys sharing his AWS knowledge with others through open-source projects, blog posts, and events. HowWhoFeelInVideo is an application that analyzes […]
Create a Serverless Solution for Video Frame Analysis and Alerting
Imagine capturing frames off of live video streams, identifying objects within the frames, and then triggering actions or notifications based on the identified objects. Now imagine accomplishing all of this with low latency and without a single server to manage In this post, I present a serverless solution that uses Amazon Rekognition and other AWS […]








