Artificial Intelligence

Whether you’re new to deep learning or want to build advanced deep learning projects in the cloud, it’s easy to get started by using AWS. For users of all levels, AWS recommends Amazon SageMaker, a fully managed machine learning (ML) platform. The platform makes it straightforward to quickly and easily build, train, and deploy ML […]

Building your chatbot in the Amazon Lex console takes just a few steps, and testing your bot is just as easy. We’ve made enhancements to the Test window of the Amazon Lex console which now provides you more details during testing and enables easier bot troubleshooting. Once you’ve built a bot to test, the Test […]

AWS, NVIDIA, Stanford, EPFL, and UC Berkeley have joined forces to tackle clinical problems in biomechanics. The NIPS 2017 Learning to Run challenge brings together over 300 researchers, engineers, and enthusiasts from around the world to apply deep learning to medical research. The challenge will culminate at the international AI conference Neural Information Processing Systems […]

Because deep learning relies on the amount and quality of the data that is used to train it, companies spend a lot to get good image data. Typically, they use either expensive human annotation or other labor-intensive tasks, such as taking more photos of products or people. This approach is costly, and it doesn’t scale. […]

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 […]

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. […]

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 […]

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 […]

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 […]

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 […]