Image Analysis Supervised Learning for Food Recognition There are apps that allow users to track their diet and uncover nutritional information. Most of these apps involve typing every food you eat, which can be very tedious. LiveSmart have built a model where users upload photos of their meal and the algorithm can identify the food....
Big Data The Woman Behind the First Black Hole Image Back in 2017 Katie Bouman, PhD student at MIT gave a TED talk on “How To Take a a Picture of a Black Hole.” Yesterday, Katie’s research project came to fruition when...
Deep Learning Twenty Billion Neurons: Building AI That Makes Sense of Video Twenty Billion Neurons unveiled an AI system that automatically understands complex real-world behaviour in video. Trained on hundreds of thousands of dedicated video recordings, it is the first network of its kind to...
Deep Learning Get Your Holiday Snaps Noticed: The Secret to High Ranking Images As the summer holidays draw to an end, you’re probably not the only one wishing you could do it all over again. Whilst the holiday might be over, the memories are there...
Machine Learning Fashion DNA: Structural Feature Mapping in the World of Retail Image source: Zalando ResearchWhen applying artificial intelligence to the world of fashion, in which the clothing and other articles involved have many varying individual properties, a meaningful structure must be defined.It seems...
Neural Networks New Approaches to Unsupervised Domain Adaptation The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One approach circumventing this cost is training models on...
Deep Learning Addressing the Critical Issues of Deep Learning in Medical Imaging Since being named as one of the top 10 breakthrough technologies of 2013, deep learning has hit the headlines repeatedly, with new applications emerging rapidly. In particular, deep learning techniques have proven to...
Machine Learning Taking the Scenic Route With Deep Learning Can deep learning change the way we interact with our environment? Navigation systems typically assist drivers to find the shortest or fastest path between locations using time or distance as input parameters. However...
Deep Learning Deep Learning with Google Brain's Oriol Vinyals Oriol Vinyals is a Senior Research Scientist at Google Brain, previously completing his PhD with the Electrical Engineering & Computer Science department at UC Berkeley. His name has appeared in the news many...
Deep Learning Here's What We Can Expect from Deep Learning in 2016 and Beyond As 2015 draws to a close, all eyes are on the year's accomplishments, as well as forecasting technology trends of 2016 and beyond. One particular field that has frequently been in the spotlight...
Deep Learning How Will Deep Learning Change the World of Retail? In November, Sentient Technologies announced a collaboration with Shoes.com, wherein the site uses a 'Visual Filter' built on deep learning - the world's first AI-powered shopping experience. At the other end of...
Neural Networks Deep Learning with Andrej Karpathy Andrej Karpathy is a 5th year PhD student at Stanford University, studying deep learning and its applications in computer vision and natural language processing (NLP). In particular, his recent work has focused on...
Big Data Recommended Reads - Intelligent Machines Week The tech world is rapidly evolving and it’s hard to keep up! To help you get up to date we’ve rounded up the best tech and innovation articles from this past...
Neural Networks Neural Abstraction Pyramid to Semantic RGB-D Perception Dr. Sven Behnke is Professor and Head of Computer Science at the University of Bonn, where he also heads the Autonomous Intelligent Systems group. At RE.WORK Deep Learning Summit in London, Sven...
Big Data Pushing the Frontiers of Computer Vision: A Q&A with Google's Christian Szegedy Due to the inroads of deep learning, computer vision appears to be on the verge of being solved. However, current methods are extremely data hungry and getting high quality labelled data is both...
