AWS Machine Learning Blog
Category: Artificial Intelligence
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 […]
Building a Reliable Text-to-Speech Service with Amazon Polly
Listen to this post Voiced by Amazon Polly This is a guest post by Yiannis Philipopoulos, a Software Developer at Bandwidth. In Yiannis’ words: “Bandwidth’s solutions are shaping the future of how we connect with voice and messaging for mobile apps and large-scale, enterprise-level solutions. At the core of Bandwidth’s business-grade Communications Platform as a […]
Amazon Lex Now Supports Telephony Audio (8 kHz) for Increased Speech Recognition Accuracy
To increase the accuracy of speech recognition for conversations over the phone, Amazon Lex now supports telephony audio (8 kHz). You can now employ the same deep learning technology as Amazon Alexa to converse with your applications and fulfill the most common requests. Amazon Lex maintains context and dynamically manages the dialogue, adjusting responses based […]
Voice-Enabled Mobile Bot Drives Auto Industry Innovation with Real-Time Trade-in Values for Vehicles
The Kelley Blue Book Bot allows users to get real-time Kelley Blue Book® Trade-In Value for vehicles using natural language. Users can interact with the chatbot in both voice and text. A simple question like, “Kelley Blue Book, can you tell me the trade-in value for my 2012 Honda Civic?” is all that is needed […]
Find Distinct People in a Video with Amazon Rekognition
Note: AWS released Amazon Rekognition Video on November 29, 2017 which is now the preferred approach for analyzing videos and finding distinct people. Nevertheless, we continue to make this blog post available for educational purposes on how to use Amazon Rekognition. Amazon Rekognition makes it easy to detect, search for, and compare faces in images […]
Using Amazon Polly to Deliver Health Care for People with Long-Term Conditions
This is a guest post by Michael Wray, senior software architect at Inhealthcare. Founded in 2012, Inhealthcare has created a digital infrastructure which supports remote home monitoring for the entire UK population. Listen to this post Voiced by Amazon Polly With an aging population that continues to grow, healthcare is being changed forever. Are […]
“Greetings, visitor!” — Engage Your Web Users with Amazon Lex
All was well with the world last night. You went to bed thinking about convincing your manager to add some time in the next sprint for much-needed improvements to the recommendation engine for shoppers on your website. The machine learning models are out of date and people are complaining, but no one is looking past […]