Written by Alexander Raginsky 2nd Summer School on Integrating Vision and Language (iV&LSS 2016): Deep Learning 21?24 March 2016, University of Malta, Malta Organised by ICT COST Action IC1307 The European Network on Integrating Vision and Language (iV&L Net) – Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data About iV&L Net:
Written by Alexander Raginsky PRELIMINARY ANNOUNCEMENT iV&LSS 2016: Deep Learning The 2nd Summer School on Integrating Vision and Language 21?24 March 2016, University of Malta, Malta Organised by ICT COST Action IC1307 The European Network on Integrating Vision and Language (iV&L Net) – Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data
Written by Alexander Raginsky Microsoft Research and the Carnegie Mellon University have created a computer that can analyse a situation and answer multi-layered questions, according to a blog post. A multi-layered question is just that: A question with multiple elements that rely on each other. An example could be “What is in the basket?” In order to understand the
Written by Alexander Raginsky Deep learning and neural networks are increasingly important concepts in computer science with great strides being made by large companies like Google and startups like DeepMind. By Nikhil Buduma (Musings of an MIT student). Deep learning. Neural networks. Backpropagation. Over the past year or two, I’ve heard these buzz words being tossed around a lot,
Written by Alexander Raginsky What I love about working at Google is the opportunity to harness cutting-edge machine intelligence for users’ benefit. Two recent Research Blog posts talked about how we’ve used machine learning in the form of deep neural networks to improve voice search and YouTube thumbnails. Today we can share something even wilder — Smart Reply, a
Written by Alexander Raginsky Google’s DeepDream project has gone viral which allows to visualize the deep learning neural networks. It highlights a need for a generalized algorithm visualization tool, in this post we introduce to you one such effort. By Daniel Moisset, (Machinalis.com). We have released an initial version of TheWalnut.io, a web application which allows creating and sharing
Written by Alexander Raginsky Machine learning startup Startup.ML today unveiled a new website called Deep Learning News. It’s a place to go to find information online about deep learning, which is an increasingly trendy type of artificial intelligence. The new site is in the style of Hacker News, a popular online water cooler for programmers from prominent Silicon Valley
Written by Alexander Raginsky Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software Engineer Artificial Neural Networks have spurred remarkable recent progress in image classification and speech recognition. But even though these are very useful tools based on well-known mathematical methods, we actually understand surprisingly little of why certain models work and others
Written by Alexander Raginsky We would like to remind you that the early registration period for the tenth Madrid UPM Advanced Statistics and Data Mining Summer School finishes on June 7th. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. As in previous years, the school comprises 12 week-long courses,
Written by Alexander Raginsky AlchemyAPI sells text analysis and computer vision capabilities that can be integrated into application, services, and data systems via a SaaS API. But I don’t believe you’ll find the words “cognitive computing” on AlchemyAPI‘s Web site. So where’s the fit? What gap was IBM seeking to fill? For an IBM description of Watson cognitive computing,
