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...
Connected Home How Will Renewable Energy & Machine Learning Change Our Future Homes? In Stuttgart, Germany, a prototype house is demonstrating what is possible with state-of-the-art renewable energy and building automation technology.The Aktivhaus B10 is part of a research project exploring how materials, design and...
Big Data Scalable Data Science and Deep Learning with H2O.ai Named one of Fortune's 2014 Big Data All-Stars, Arno Candel is the Chief Architect at H2O.ai, a distributed and scalable open-source machine learning platform. H2O is a leading open-source in-memory machine learning...
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 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 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 What Are Apple's Plans With Newly Acquired AI Startups? Gracelyn Jadyn has been in the blogging industry since 2010 and has been invited by several reputable tech websites to cover events and write about the latest innovative devices on the market. Connect...
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 What Happens When Machine Learning & IoT Collide? Less than 2 weeks to go until we're exploring IoT & Machine Learning in San Francisco!The Internet of Things combined with Machine Learning. What problems can we solve? Over 40 speakers and...
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 Making Sense of IoT Data with Machine Learning A big promise of the Internet of Things (IoT) is that by analyzing millions of new sources of data from embedded, networked devices our experience of the world becomes better and more efficient....
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...
Machine Learning Predictive Analytics in IoT: Lessons Learnt from Aerospace The rapid spread of Internet of Things (IoT) technologies is producing a massive volume of sensor data, and growing exponentially each year. As the value for this kind of data is impacting multiple...
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...
Connected Home Presenting the Emerging Technology Pioneers of 2015 New technology is changing the way we work and live. At the third annual RE.WORK Future Technology Summit we will showcase breakthrough technologies in Robotics, Artificial Intelligence, MedTech, 3D Printing, Smart Materials...
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...
