Facebook Adds 24 Languages to Rosetta Translation Feature

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

Amazon Debuts Intel-Powered DeepLens Camera to Teach AI

On November 29 at the AWS re:Invent conference, Amazon Web Services introduced its AWS DeepLens, a video camera whose main purpose is to teach developers how to program AI functions. The camera comes loaded with different AI infrastructures and AWS infrastructure such as AWS Greengrass Core and a version of MXNet. Developers can also add their own frameworks like TensorFlow. The 4-megapixel camera can shoot 1080p HD video and offers a 2D microphone system for recording sound, in the form factor of an action camera on top of an external hard drive. Continue reading Amazon Debuts Intel-Powered DeepLens Camera to Teach AI

Qualcomm Releases SDK Designed to Upgrade Apps for AI

Qualcomm, whose chips are in 40 percent of all smartphones, has revealed its strategy for streamlining AI tasks, by developing a software development kit (SDK) dubbed Neural Processing Engine. The SDK will help developers revamp their apps for AI tasks on Qualcomm’s Snapdragon 600 and Snapdragon 800 processors. The company first announced the SDK a year ago. Qualcomm’s tactics differ from ARM and Microsoft, which are designing new chips, and Facebook and Google, which hope to reduce the computing power needed to run AI apps. Continue reading Qualcomm Releases SDK Designed to Upgrade Apps for AI