Connected Home Face Analysis Enables A New Breed of Smart Home Devices Currently, the future of smart homes relies on connected devices that communicate with each other, in order to create customizable user experiences for added efficiency and comfort in our lives. Now a new...
AI Pioneers Deep Learning with Hugo Larochelle, Twitter Cortex Hugo Larochelle is Research Scientist at Twitter Cortex, and Assistant Professor at the Université de Sherbrooke. Prior to this, he spent two years in the Machine Learning Group at the University of Toronto,...
Deep Learning Recap: Videos From RE•WORK Deep Learning Summit, San Francisco 2016 At this year’s Deep Learning Summit in San Francisco, over four hundred world experts, data scientists and entrepreneurs gathered for two days to explore the opportunities of advancing trends in deep learning...
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...
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...
Neural Networks Deep Minds: An Interview with Google's Alex Graves & Koray Kavukcuoglu At the RE.WORK Deep Learning Summit in London last month, three research scientists from Google DeepMind, Koray Kavukcuoglu, Alex Graves and Sander Dieleman took to the stage to discuss classifying deep neural...
Neuroscience Optical Neurotechnology: Watching Brain Circuits in Action A combination of technological developments over the last few years have instigated a revolution in the brain sciences. The development of two photon fluorescence microscopy has allowed scientists to observe single neurons, and...
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...
Deep Learning A New Approach for Training Deep Models in Unsupervised Learning Jörg Bornschein is a Global Scholar with the Canadian Institute for Advanced Research (CIFAR) and postdoctoral researcher in Yoshua Bengio’s machine learning lab at the University of Montreal. Jörg’s research is...
Space Applied Neuroscience: A Revolution in Brain Health In 2014, the researchers at Starlab made headlines when they achieved the first known realisation of brain-to-brain (B2B) communication between humans.Starlab's mission is to transform science into technologies with a profound positive...
Neural Networks Community News - 19 Aug 2015 Virtual Assistants & Intelligent Agents. The Race is On.Virtual Assistants are poised to be the next big thing in technology and artificial intelligence. They will create a new meta-layer of machine intelligence...
Deep Learning Training Neural Networks: Q&A with Ian Goodfellow, Google Neural networks require considerable time and computational firepower to train. Previously, researchers believed that neural networks were costly to train because gradient descent slows down near local minima or saddle points. At the...
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...
Neural Networks Changing the Way We Talk to Machines As our mobile devices, wearables and cities become more powerful and feature-rich, a better understanding and dialogue between humans and machines is becoming key to the success of emerging technologies. Achieving human-machine dialogue...
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...
Neural Networks Deep Learning with Structure Charlie Tang is a PhD student in the Machine Learning group at the University of Toronto, working with Geoffrey Hinton and Ruslan Salakhutdinov, whose research interests include machine learning, computer vision and cognitive...
