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 Baidu Releases Open Source Deep Learning Code Warp-CTC Today, Baidu Research's Silicon Valley AI Lab (SVAIL) is releasing an open source code called Warp-CTC. This tool can plug into existing machine learning frameworks to significantly speed up AI development - up...
Deep Learning Baidu's Adam Coates on Deep Speech 2, New Open Source AI Tool & More Named one of MIT Technology Review's 35 Innovators Under 35 for 2015, Adam Coates is Director of the Baidu Silicon Valley AI Lab. Previously a post-doctoral researcher at Stanford, over the past six...
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...
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...
Machine Learning Creating a More Humane Artificial Intelligence Virtual assistants have received a lot of attention as helpful tech that will make our lives easier, whether it's finding the quickest route to our destination; controlling smart home products; suggesting restaurants or...
Machine Learning Visionary Cars: With Deep Learning, Autonomous Cars Get Smarter as They Drive This guest article was written by Susan Kuchinskas, a journalist and author who covers science and technology. Visit her website to read more of her articles here.Driverless cars will need to make...
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...
Machine Learning I've Taught Computers How to Paint Portraits – and to Code Can we teach computers to code?Software can already be artistic or make mathematical finds, but for it to excel we have to give it the right skill set, says AI researcher Simon...
Machine Learning From Virtual Assistants to Virtual Specialists From the same company that brought us Siri, SRI International launched Kasisto in 2014 with the aim of taking mobile conversation to the next level. Founded with the vision of helping consumers in...
Big Data How to Integrate Deep Learning Into Your Business Paul Murphy is CEO of Clarify, platform that makes media content extraction and search easy for developers to integrate into their applications. Paul's career in the software operations industry has spanned twenty years...
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...
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...
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...
