Humanoid Robots Deep Reinforcement Learning for Robotics Previously named one of MIT Technology Review's 'Innovators Under 35', Pieter Abbeel is Co-Founder of Gradescope and Associate Professor at UC Berkeley, as well as working as a consultant for machine learning and...
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...
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...
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...
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 Deep Learning Data Analytics: Actionable Intelligence on a Massive Scale To interact with the world’s information, most of us turn to search engines. We do it so often that we tend to think of search engines as the internet. But they’re...
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...
Big Data What Could You Do with the Largest Emotion Database in the World? Emotions influence every aspect of our lives – from how we connect and communicate, our health and wellbeing, and how we make decisions. So deep insight into consumers’ unfiltered and unbiased emotional reactions to...
