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,...
Machine Learning Online Banking is Evolving With NLP & Deep Learning The world of online banking is heading towards a digital reality where questions are no longer answered by humans, but by computers. In the last year alone the number of banks focusing on...
Machine Learning Using AI to Estimate Customer Life Time Value in E-Commerce As deep learning techniques and applications continue to spread across business and society, this technology is now making an impact on retail and advertising. Data mining and deep learning algorithms are applied to...
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...
Smart Transport Women in STEM: Interview with Julie Choo I first met Julie Choo, a techpreneur and author, at the Deep Learning Summit in London. When I learnt of her interest and research in autonomous vehicles I invited her to participate at...
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...
Big Data Building the Foundation of the Autonomous Vehicle While tech companies battle to be the first to create fully autonomous vehicles, there is a quiet evolution happening in the background that is building the foundation for these vehicles: data collection, with...
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 IWD 2017: Interview with Accenture's Manager of AI International Women’s Day takes place annually on 8 March, providing companies, institutions and individuals with an opportunity to discuss and promote diversity and equality around the world. The day is celebrated widely...
Machine Learning The Future of Autonomous Vehicles: Share Your Views We're working on an infographic and article for the Huffington Post about the trends and limitations of autonomous vehicles, and we'd love for our readers to be involved! Our aim is to gather...
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...
Machine Learning A New Era of Driverless Transport is Upon Us Thanks to the collision of machine learning and the Internet of Things (IoT), driverless technology is advancing rapidly, and advancements are expected to continue on this trajectory with technology giants like Google, Intel,...
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 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 Accelerating Tech: the Future of Autonomous Vehicles The technologies driving forward a new era of autonomous vehicles have been accelerating exponentially in the past few years. The futuristic cars that until recently were only found in science fiction could be...
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 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...
Machine Learning Applying Machine Learning & Sensing Technologies to Accelerate the Connected Car "We as an industry have to figure out how to get gigabytes of data off our cars"Renovo, says the traditional concept of a vehicle platform faces potential radical change in an era...
Big Data Music Discovery at Pandora Finding the music of the moment can often be a challenging problem, even for humans with well-versed musical tastes. These challenges further explode into a myriad of complexities when attempting to construct algorithmic...
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...
Machine Learning Inspiring Women in Machine Intelligence Join us for an evening of discussions and networking around the progress and application of machine intelligence at the annual Women in Machine Intelligence Dinner in London on 21 February with expert speakers...
