Machine Learning Fashion DNA: Structural Feature Mapping in the World of Retail Image source: Zalando ResearchWhen applying artificial intelligence to the world of fashion, in which the clothing and other articles involved have many varying individual properties, a meaningful structure must be defined.It seems...
Machine Learning 5 Surefire Ways to Have a Successful Chatbot It's hard to go online without landing on a website with chatbot integration, and with the potential of these bots ever increasing we're seeing companies adopt them more and more rapidly. However, this...
Machine Learning Autonomous Vehicles Need Superhuman Perception For Success For self-driving cars and other smart transport to be successfully integrated in the real-world, the safety of passengers and pedestrians must be ensured. In the world of intelligent machines, perception answers the question:...
Deep Learning Women in Tech: Interview With DeepMind's Silvia Chiappa We interview leading women in STEM to learn more about how we can all work to make science and technology industries more inclusive. How can more women be encouraged to work in these...
Big Data Machine Learning Intelligence For Micro-Moment Shopping As artificially intelligent software becomes more economical and accessible for businesses across the globe, retailers and online marketplaces are now focusing on harnessing the power of big data and machine learning to understand...
Machine Learning What's Next For Virtual Assistants & Deep Learning? Deep Learning continues to further advance and disrupt as we progress through 2017, with London one of the key global research and startup hubs for breakthrough AI technology. The 2016 Deep Learning Summit...
Machine Learning Visual Localization & Mapping for Autonomous Driving Image source: V-Charge Project by ETH Zurich Autonomous Systems LabThe battle against climate change needs new mobility concepts, and advancing autonomous electric vehicles could be key in the global mission to reduce CO2...
Deep Learning Agile Deep Learning For Modern Software Development Deep Learning has been called the "new electricity", with its sudden transformational power over every industry. While the attention on deep learning's innovative algorithms is well-deserved, turning innovation into value requires integrating these...
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...
Machine Learning Using AI to Improve Quality of Life For Diabetic Patients The world of startups is constantly moving and evolving. With the exponential growth of deep learning research and technologies in recent years, innovative new companies are often funded, acquired and transformed from startups...
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...
Space Discovering Extrasolar Planets with Deep Learning An extrasolar planet, or exoplanet, is a planet that orbits a star other than the Sun in our solar system. As of 1 April 2017, there have been 3,607 exoplanets discovered in...
Big Data Earth Day 2017: Tackling Climate Science With Deep Learning Climate change is one of the most important problems facing humanity in the 21st century. By using simulations, scientists can provide us with a unique opportunity to understand the evolution of the climate...
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 Cloud-based Deep Learning: Reducing Tedium in Radiology Radiology requires countless hours searching for tiny lesions, creating distance and contour annotations, and filling out checklists to determine stages of disease - these tasks are onerous and error-prone, resulting in high costs...
Machine Learning Simulating Financial Markets On Deep Learning Models An autoencoder is an artificial neural network where output units are directly connected back to input units, and is often used for unsupervised learning of efficient codings.In finance, autoencoders and other deep...
Humanoid Robots Cognitive Robotics: Learning Environment Perception Image source: Autonomous Intelligent Systems Group, University of BonnFor robots to successfully perceive and understand their environment, they must be taught to act in a goal-directed way. While mapping environments geometry is a...
Connected Home Internet of Things Day 2017 Special Offer! For this year's IoT Day on 9 April, we have a special offer for Internet of Things and Machine Learning enthusiasts in our community. Use the discount code IOTDAY to save 20% on...
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...
Deep Learning Addressing the Critical Issues of Deep Learning in Medical Imaging Since being named as one of the top 10 breakthrough technologies of 2013, deep learning has hit the headlines repeatedly, with new applications emerging rapidly. In particular, deep learning techniques have proven to...
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...
