Amazon introduced AWS Deep Learning Containers, a collection of Docker images preinstalled with preferred deep learning frameworks, with the aim of making it more seamless to get AI-enabled apps on Amazon Web Services. At AWS, general manager of deep learning Dr. Matt Wood noted that the company has “done all the hard work of building, compiling, and generating, configuring, optimizing all of these frameworks,” taking that burden off of app developers. The container images are all “preconfigured and validated by Amazon.” Continue reading AWS Tool Aims to Simplify the Creation of AI-Powered Apps

Facebook’s Rosetta is a machine learning system that extracts text in many languages from over one billion images in a real time. Facebook built its own optical character recognition system that can process such huge amount of content, day in and day out. In a recent blog post, Facebook explained how Rosetta works, using a convolutional neural network to recognize and transcribe text, even non-Latin alphabets and non-English words. The system was trained with a mix of human- and machine-annotated public images. Continue reading Facebook Adds 24 Languages to Rosetta Translation Feature