Neural Networks Top 5 Key Areas: Deep Learning in Retail & Advertising Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. Yet...
Neural Networks Self-Driving Cars: the Tech & the Roadblocks Image source: Driver Gaze Classification by Lex Fridman.With successful development, self-driving car could be the most important breakthrough in the coming decades. As cities begin to make way for autonomous vehicles, the...
Neural Networks Creating the Open-Source Autonomous Vehicle As the race to create the first fully autonomous, road-safe vehicle continues, numerous road-blocks and challenges are pushing companies to find new innovative solutions.Successful development of autonomous vehicles requires a wide variety...
Deep Learning Security & Privacy is Vital For Machine Learning to Succeed As popularity of machine learning grows, there is rising recognition that it exposes new security and privacy issues in software systems. While artificially intelligent algorithms are providing new opportunities in business and society,...
Deep Learning The Great Conundrum of Hyperparameter Optimization Regularization is tuning or selecting the preferred level of model complexity so deep learning models are more successful in predictions.Techniques for regularization are applied to machine learning models to make the decision...
Neural Networks New Approaches to Unsupervised Domain Adaptation The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One approach circumventing this cost is training models on...
Deep Learning Beating the Perils of Non-Convexity in Neural Nets Neural networks, or "neural nets", have become a common term in the tech world and discussions around artificial intelligence, since their use in machine learning has revolutionised performance across multiple domains like computer...
Deep Learning Improving Reinforcement Learning With Minecraft Using games to train machine learning models has proven to be increasingly successful in recent years, and has helped to spread public understanding of algorithms and deep learning methods through mainstream media coverage,...
Deep Learning Deep Learning Platforms & GPUs: an Interview With Bryan Catanzaro High-performance graphics cards, typically associated with gaming, have become popular over the last few years in an area many might not expect: artificial intelligence. Many experts attribute recent acceleration of success in AI...
Deep Learning Interpretability: the Next Deep Learning Challenge Deep learning researchers are increasingly focusing on a big problem in the field: interpretability.While supervised neural nets trained on huge datasets can achieve impressive performances in tasks such as computer vision and...
Deep Learning What is the General AI Challenge? Current AI solutions, deemed 'narrow AI', are essentially task-specific - they learn to do one, well-defined task extremely well. A 'general AI' system, on the other hand, will be capable of “learning how...
Deep Learning The World's First Cognition Platform to Power the Future of AI "The final missing piece in AI is Visual Cognition and Understanding. In order for this dream to be realized, it takes more than winning scores at classifying ImageNet."At the Deep Learning Summit...
Deep Learning Catalyzing Deep Learning’s Impact in the Enterprise Deep learning is in the early stages of unlocking tremendous economic value outside its impact in large technology companies. While the algorithms have revolutionized consumer experiences in domains as varied as speech interfaces,...
Big Data Democratising Deep Learning: The Data Delusion Neil Lawrence is Senior Principal Scientist at Amazon, and Professor of Machine Learning at the University of Sheffield. His main technical research interest is machine learning through probabilistic models, with focuses on both...
Neural Networks Should We Give Chatbots Their Own Personalities? Today, we have machines that assemble cars, make candy bars, defuse bombs, and a myriad of other things. They can dispense our drinks, facilitate our bank deposits, and find the movies we want...
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 Extracting Customer Insights with Machine Learning In its relatively short lifetime, Airbnb has had over 100 million guests, with over 40 million of those occurring in the past year. Naturally, this exponential growth is a challenge to deal with...
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 The Evolution of NLP: Natural Language Understanding Despite recent advances in AI, a deep understanding of natural language by machines still remains highly challenging. Antoine Bordes, Research Scientist at Facebook Artificial Intelligence Research (FAIR), is working to change this with...
Deep Learning Facebook AI Research: Learning Physical Intuition by Example Adam Lerer is Research Engineer at Facebook AI Research, where he works on distributed neural network training, computer vision, visual common sense, and graph embeddings. Prior to joining Facebook, Adam worked at D....
Deep Learning Embedded Deep Learning: Recent Advancements & Challenges Deep learning and convolutional neural nets have become state of the art techniques for solving many computer vision problems, but the compute intensiveness and large memory requirement of these algorithms make it challenging...
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...
Deep Learning Should We Be Rethinking Unsupervised Learning? Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples.Unsupervised learning is a type of machine learning...
Big Data Deep Learning With Eli David, CTO of Deep Instinct Deep learning is inspired by the brain’s ability to learn: once a brain learns to identify an object, its identification becomes second nature. Similarly, as a deep learning-based "artificial brain" learns to...
