AWS Machine Learning Blog

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This is a guest blog post by Ned T. Sahin, PhD (Brain Power LLC and Harvard University), Runpeng Liu (Brain Power LLC and MIT), Joseph Salisbury, PhD […]

Whatever your use case, real-time face recognition with Kinesis Video Streams and Rekognition Video is easy to set up and doesn’t require expensive hardware. The entire system built here is serverless and Rekognition Video qualifies for the AWS Free Tier.

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with TensorFlow 1.7, which is built with advanced optimizations for high-performance training across Amazon EC2 instance families. This is an update to the optimized build of TensorFlow 1.6 that we launched in late March. Faster training with optimized TensorFlow 1.7 The Amazon Machine […]

In this blog post, you will learn how to combine the capabilities of Amazon Rekognition Video and Amazon Elastic Transcoder to automatically convert a long video into a highlight video showing all footage of a given person.

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. Chris Coombs travelled all the way from Melbourne, Australia […]

Today AWS released Apache MXNet Model Server (MMS) v0.3, which streamlines the deployment of model serving for production use cases. The release includes pre-built container images that are optimized for deep learning workloads on GPU and CPU. This enables engineers to set up a scalable serving infrastructure. To learn more about Apache MXNet Model Server […]

Every day millions of users around the world communicate with each other through email, social networks, and other online communities including chat platforms and message boards. Many times, users find a community interesting and want to participate in the chat conversation, but the primary language of the online community might be different than the language […]

The demand for chat apps is growing wildly. From social apps to business collaboration, in-game chat to customer support, every app needs chat. Chat apps like Telegram are making mainstream news and generating widespread interest.

Historically, building a scalable, feature-rich chat app was surprisingly difficult. Not anymore. PubNub ChatEngine has integrated Amazon machine learning APIs, which makes building intelligent, scalable chat apps super easy for mobile and web.

In this blog post, you’ll learn how to spin up the PubNub ChatEngine and add Amazon Translate and Amazon Polly for cross-lingual, speech-enabled chat apps that you can embed anywhere.

We’ve become so accustomed to the existence of skyscrapers, road networks, oil rigs, hydroelectric dams, nuclear power plants, wind turbines, suspension bridges, and all the other incredible feats of human engineering populating our world, that some might overlook the remarkable effort that goes into their construction. These projects are not built by robots. A huge amount of human effort is required to bring them into existence, in addition to the technology used to design, streamline, and improve processes.

Initiafy makes the workforce element of projects more productive and efficient. Heavy industry projects rely on contractors, with related management challenges of handling documents, health and safety, and quality control. Initiafy provides contractor management on an online platform, giving workers training in a flexible way and ensuring standards are high across a contingent workforce. Initiafy operates in a number of countries, with workers coming from a number of nationalities so it is vital that training is accessible for all workers.

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. Nathan Stone (NS) and Peter McLean (PM) are a […]