Computer Vision News - October 2016

Computer Vision News lists some of the great stories that we have just found somewhere else. We share them with you, adding a short comment. Enjoy! 3 OCR Libraries for Java Compared: Which is the Winner? Gábor Vecsei did a great work to compare Tesseract , Asprise and Google Could Vision , three Optical Character Recognition libraries for Java . Want to know which library is the winner? Read it here and find the codes here . You might be tempted to read other articles in this blog… Computer Vision News Spotlight News 25 The Extraordinary Link Between DNN and the Nature of Universe How do you explain that Deep Neural Networks are better than humans at tasks such as face recognition and object recognition? There seem to be no mathematical reason why networks arranged in layers should be so good at it. Or so it seemed until now: Henry Lin (Harvard) and Max Tegmark (MIT) found out that the answer comes from physics, the nature of the universe and the hierarchy of its structure . Read this fascinating work here! Engineers Teach Machines to Recognize Tree Species Did you know that data from satellite and street-level images (like Google Maps’) is used to automatically create an inventory of street trees? The California Institute of Technology can help municipalities manage the urban stock of trees. Other practical application of computer vision and image processing in forestry exist. Read... Salesforce Offers CRM Artificial Intelligence for Business Marc Benioff, chairman and CEO of Salesforce, thinks that the availability of Einstein - which embeds AI capabilities across every Salesforce Cloud - will make Salesforce the world's smartest CRM . Salesforce Einstein leverages all customer, activity, social and IoT data to to train predictive models powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery. Read… What's in the Photo? Google’s Caption Tool now Open-source Show and Tell is Google’s automated captioning system , which learns to identify and describe photos. Now it is available for open-source use with TensorFlow , Google's open machine-learning framework. Read… See also this lovely video from MIT CSAIL , consult this excellent list of TensorFlow resources and don’t miss this report about NASA’s 3D mapping of the Sun’s edge .