AWS AI Blog

Voice-Enabled Mobile Bot Drives Auto Industry Innovation with Real-Time Trade-in Values for Vehicles

by Harshal Pimpalkhute and Dennis Hills | on | Permalink | Comments |  Share

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 […]

Read More

Find Distinct People in a Video with Amazon Rekognition

by Nicolas Malaval | on | Permalink | Comments |  Share

Amazon Rekognition makes it easy to detect, search for, and compare faces in images to find matches. In this post, we show how to use Amazon Rekognition to find distinct people in a video and identify the frames that they appear in. You could use face detection in videos, for example, to identify actors in […]

Read More

Using Amazon Polly to Deliver Health Care for People with Long-Term Conditions

by Michael Wray | on | Permalink | Comments |  Share

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 Disclaimer: Amazon Polly is not an AWS HIPAA Eligible Service at the time of this […]

Read More

Build PMML-based Applications and Generate Predictions in AWS

by Gitansh Chadha | on | Permalink | Comments |  Share

If you generate machine learning (ML) models, you know that the key challenge is exporting and importing them into other frameworks to separate model generation and prediction. Many applications use PMML (Predictive Model Markup Language) to move ML models from one framework to another. PMML is an XML representation of a data mining model. In […]

Read More

AWS Partners with Mapillary to Support the Large-Scale Scene Understanding Challenge at CVPR 2017

by Joseph Spisak and Peter Kontschieder | on | Permalink | Comments |  Share

Listen to this post Voiced by Amazon Polly On July 26, 2017, Mapillary, Princeton University and others are hosting the Large-Scale Scene Understanding (LSUN) Challenge in conjunction with CVPR, the premier computer vision conference, in Honolulu, Hawaii. The LSUN Challenge and an associated workshop will bring computer vision researchers and practitioners together to solve problems […]

Read More

In the Research Spotlight: Zornitsa Kozareva

by Victoria Kouyoumjian | on | Permalink | Comments |  Share

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

Read More

Build a Real-time Object Classification System with Apache MXNet on Raspberry Pi

by Aran Khanna | on | Permalink | Comments |  Share

In the past five years, deep neural networks have solved many computationally difficult problems, particularly in the field of computer vision. Because deep networks require a lot of computational power to train, often using tens of GPUs, many people assume that you can run them only on powerful cloud servers. In fact, after a deep […]

Read More

“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 […]

Read More

In the Research Spotlight: Hassan Sawaf

by Victoria Kouyoumjian | on | Permalink | Comments |  Share

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

Read More

Using Amazon Rekognition to Identify Persons of Interest for Law Enforcement

by Chris Adzima | on | Permalink | Comments |  Share

This is a guest post by Chris Adzima, a Senior Information Systems Analyst for the Washington County Sheriff’s Office.  In law enforcement, it is extremely important to identify persons of interest quickly. In most cases, this is accomplished by showing a picture of the person to multiple law enforcement officers in hopes that someone knows the […]

Read More