Deep Learning Machine Intelligence Is Red Hot Space but Startups Face Uphill Battle Steve Ardire is a software startup advisor with a focus in AI, machine intelligence and cognitive computing, and will be speaking at the Virtual Assistant Summit in San Francisco, on 28-29 January 2016....
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...
Anticipatory Computing Humanizing Artificially Intelligent Agents - and Why it Matters A company is applying artificial intelligence to solve a problem that every office struggles with - scheduling and organisation. How will they accomplish this for 400 million users? With a little help from...
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...
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 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...
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...
