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...
Big Data Deep Learning for AI: Takeaways from Yoshua Bengio At the Deep Learning Summit, Boston 2016, Yoshua Bengio took us through the evolution of Artificial Intelligence (AI) - how it started with supervised learning, its progression to Machine Learning with speech recognition...
Deep Learning Exploring Machine Learning at OpenAI & Google With the Experts On 26-27 January, we held the Deep Learning Summit and Virtual Assistant Summit in San Francisco, enjoying another mind-expanding 2 days learning about the latest trends and applications in the AI world. During...
Machine Learning 11th Global Deep Learning Summit to Be Held Singapore This April Following the success of the Deep Learning Summit series in San Francisco, London, and Boston, RE•WORK is pleased to announce its 11th global Deep Learning Summit in Singapore. It is taking place...
Deep Learning Deep Learning at the Front Lines of Healthcare Today’s healthcare system was not built for a seamless integration of rapidly emerging technologies, such as machine learning innovations. Health data is largely inaccessible and not standardized, making it challenging to work...
Deep Learning Reprogramming the Human Genome: Why AI is Needed "Exponential data problems is very challenging and it's why it's hard to apply machine learning to genomics""Sequencing 1M genomes or 1B genomes won't address these problems"Last week at the Deep Learning...
Deep Learning Chinese New Year Discount on RE•WORK Summits in Asia To celebrate the Chinese New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 25 January to 30 January. Simply enter the code NEWYEAR at...
Big Data The "Something Something" Video Dataset Neural networks trained on Datasets, like ImageNet, have recently led to major advances in visual object classification. The main obstacle that prevents networks from reasoning more deeply about scenes and situations, and from...
Deep Learning UREX: Under-appreciated Reward Exploration by Google Brain The most widely-used exploration methods in reinforcement learning today (like entropy regularization and epsilon-greedy) have not changed much in the last 20 years. Google Brain argues that these exploration strategies are naive and...
Big Data The Future of In-Place Associative Computing Today’s solutions that seek to emulate the human mind waste time and energy moving data around. That is not what the human mind does – rather than move data around, it efficiently processes...
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 How Deep Learning is Expected to Develop in 2017 2016 saw some progressive advancements in AI technology, such as AlphaGo beating Go grandmaster Lee Sedol. We have seen other great developments such as with image recognition, where we can one day expect...
Deep Learning Deep Learning in Production at Facebook Facebook is powered by machine learning and AI. From advertising relevance, news feed and search ranking to computer vision, face recognition, and speech recognition, they run ML models at massive scale, computing trillions...
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...
Deep Learning Video Interview With SwiftKey Founder & CTO Ben Medlock As co-founder and CTO of SwiftKey, Ben Medlock invented the intelligent keyboard for smartphones and tablets that has transformed typing on touchscreens. SwiftKey's smart typing technology learns from each user to more accurately...
Machine Learning Computational Sustainability: Mapping Poverty with AI Policies for sustainable development can entail complex decisions about balancing environmental, economic, and societal needs, and making these decisions in an informed way presents significant computational challenges. Modern AI techniques combined with new...
Deep Learning Why Genomic Medicine Needs Deep Learning Brendan Frey is Co-founder and CEO of Deep Genomics, a company that aims to develop machine learning technologies to transform precision medicine, genetic testing, diagnostics and the development of therapies. His group has...
Big Data What Did You Miss at the Deep Learning Summit Last Week? On 22-23 September, over 500 founders, CTOs, business leaders, software engineers and entrepreneurs came together at the 2nd annual Deep Learning Summit in London, to explore the latest advancements in deep learning methods,...
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...
Virtual Assistant Summit How Can Chatbots Help Small Businesses? There are over 500 million small to medium businesses on the planet, and without them life as we know it simply wouldn’t exist. But more than 50 million of those businesses fail...
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...
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....
