Deep Learning Visualizing & Understanding Recurrent Neural Networks with Andrej Karpathy, OpenAI Andrej Karpathy is a Research Scientist working on deep learning, generative models and reinforcement learning at OpenAI. He studied at Stanford University, focusing on deep learning and its applications in computer vision and...
Deep Learning Democratising Deep Learning: Q&A With Prof. Neil Lawrence The widespread success of deep learning in a variety of domains is being hailed as a new revolution in artificial intelligence. It has taken 20 years to go from defeating Kasparov at Chess...
Deep Learning Algorithms Women in Tech: Deborah Harrison, Microsoft Cortana Today, while the field of artificial intelligence is still in its adolescence, the industry stands in a brilliant position to shape not only technological innovation but also the culture of conversation between humans...
Big Data Applying A.I. to Diverse Transactional Data For Better Decision Making Transactional data comes from very diverse sources, and is categorical in nature, often with attributes such as a person’s gender, marital status, hometown, career, or the types of movies they like. At...
Deep Learning Recap: Videos From the Machine Intelligence Summit On 29-30 June in Berlin, we held the RE•WORK Machine Intelligence Summit, bringing together industry leaders, influential technologists, academic researchers, data scientists and founders for two days of discussions sharing best practices...
Deep Learning Exploring the Artificially Intelligent Future of Finance With technological enhancements increasing computing power and decreasing its cost, easing access to big data and innovating algorithms, there has been a huge surge in interest of artificial intelligence, machine learning and its...
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...
Deep Learning How Will Deep Learning Change Your Business? The media interest surrounding deep learning has grown exponentially in the last few years. But what does it actually mean, and how will it change business and society?Deep learning is a subset...
Machine Learning Infinite Compute Power for GPU Accelerated Deep Learning NVIDIA have been a pioneer in accelerating deep learning, and have been developing deep learning software, libraries and tools for a number of years. Many of today's deep learning solutions rely on NVIDIA...
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...
Connected Home Face Analysis Enables A New Breed of Smart Home Devices Currently, the future of smart homes relies on connected devices that communicate with each other, in order to create customizable user experiences for added efficiency and comfort in our lives. Now a new...
AI Pioneers Deep Learning with Hugo Larochelle, Twitter Cortex Hugo Larochelle is Research Scientist at Twitter Cortex, and Assistant Professor at the Université de Sherbrooke. Prior to this, he spent two years in the Machine Learning Group at the University of Toronto,...
Big Data The Intersection of AI & IoT for a Healthier Smart Home There are countless connected home products available, but are they actually "smart"?Sean Lorenz, CEO & Founder of Senter, believes mainstream consumer adoption of connected home products will only happen when we begin...
Machine Learning An Overview of Startups Advancing the Deep Learning in Healthcare Revolution During the Deep Learning in Healthcare Summit in London last week we hosted the ‘Shaping Tomorrow’ startup session to showcase innovative startups applying cutting-edge deep learning algorithms and tools to advance healthcare and...
Energy Deep Learning at Scale: Q&A with Naveen Rao, Nervana Systems Deep learning has had a major impact in the last three years. Imperfect interactions with machines, such as speech, natural language, or image processing have been made robust by deep learning, which holds...
Big Data Deep Learning in Healthcare Part 2: Future & Predictions View Part 1 of the discussion here. The application of artificial intelligence and deep learning in healthcare and medicine is often quoted to grow tenfold in 5 years, from algorithms that learn to...
Big Data Deep Learning in Healthcare Part 1: Opportunities & Risks The application of artificial intelligence and deep learning in healthcare and medicine is often quoted to grow tenfold in 5 years, from algorithms that learn to recognise complex patterns within rich medical data,...
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 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...
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...
