Deep Learning Neural Attention: Machine Learning Meets Neuroscience Neural attention has been applied successfully to a variety of different applications including natural language processing, vision, and memory. An attractive aspect of these neural models is their ability to extract relevant features...
Deep Learning Video Interview With Deep Learning Expert Honglak Lee Honglak Lee is Assistant Professor of Computer Science & Engineering at the University of Michigan. He received his Ph.D. from Computer Science Department at Stanford University in 2010, advised by Prof. Andrew...
Neural Networks Predicting Future Human Behavior With Deep Learning Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive...
Deep Learning Visual Question Answering Problems: Reasoning With Deep Learning Ilija Ilievski is a PhD student at the National University of Singapore, studying interdisciplinary research in the intersection of vision and language. He believes question answering over multimodal data is the next frontier...
Machine Learning Exploring AI & Machine Intelligence With Google, Facebook, MIT & More Following the success of the inaugural RE•WORK Machine Intelligence Summit in Berlin, the summit is now coming to New York!On 2-3 November, over 200 attendees will come together in New York...
AI Pioneers Video Interview With Deep Learning Expert Yoshua Bengio Yoshua Bengio is a renowned figure in the deep learning field. His titles include Full Professor of the Department of Computer Science & Operations Research at the Université de Montréal, head of the...
Humanoid Robots Robots Need "Common Sense" A.I. to Work in Our Uncertain World Jeremy Wyatt is Professor of Robotics and Artificial Intelligence, in the Computer Science department at University of Birmingham, where they create algorithms that enable robots to work in uncertain and unfamiliar worlds.With...
Deep Learning Autonomous Drones Navigate Disaster Zones Using Computer Vision With their potential to navigate quickly through unstructured environments and fly through collapsed buildings, autonomous drones are set to play a major role in search-and-rescue and remote-inspection missions, where a fast response is...
Machine Learning Taking the Scenic Route With Deep Learning Can deep learning change the way we interact with our environment? Navigation systems typically assist drivers to find the shortest or fastest path between locations using time or distance as input parameters. However...
Agtech From Cows to Crops: Computer Vision for Precision Agriculture Recent technological advances have allowed a step-change in the way the farmers, agronomists and plant breeders can gather and analyse data. Automated livestock welfare management, precision weed control and measurement of phenotypic traits...
Big Data Using Deep Learning for Anomaly Detection in Radiological Images Deep learning is usually linked to big data, but in a medical context radiologists often need help in diagnosing rare conditions that have limited historical data. Can deep learning prove a useful tool...
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...
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...
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...
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...
UAVs Drones for Good: Delivering Off-Grid Healthcare The usage of drones by companies and individuals is increasing exponentially, with new uses and applications hitting the headlines every day. But how can we use unmanned aerial vehicles (UAVs) to positively impact...
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...
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...
