For the first time, RE•WORK will be bringing the increasingly popular Deep Learning Summit to Montreal, Canada, and are excited to announce the attendance of Yoshua Bengio, Yann LeCun, and Geoffrey Hinton who will be appearing on the Panel of Pioneers to share their expertise as the founders of the deep learning revolution.
Topics: Machine Learning, Deep Learning, A I
When 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. We spoke to Roland Vollgraf, Research Lead at Zalando Research, to explore machine learning in the fashion industry further.
Topics: Machine Learning, Deep Learning, Pattern Recognition, A I
In the world of intelligent machines, perception answers the question: what is around me? This situational awareness is paramount for safe operation of autonomous vehicles in real-world environments. Michael Milford, Associate Professor at Queensland University of Technology (QUT), gives insight into the recent advancements in robotic perception in autonomous systems and the challenges that lie ahead.
Topics: Machine Learning, Deep Learning, A I, Smart Transport
Because the chatbot craze is still relatively new and experimental, users will likely encounter moments of frustration when chatting with bots. While the potential for error is always present, you can minimize the risk by focusing on a few common problem areas. Anyone interested in chatbot development should be aware of these headache-inducing limitations; you want conversation with your brand’s chatbot to be fun, engaging and simple—not frustrating and error-ridden.
You should always be on the lookout for bottlenecks that cause problems for your users. But if you don’t know where to begin to improve chatbot user experience, start with one of these points.
Topics: Machine Learning, A I, Chatbots
We interview leading women in STEM to learn more about how we can all work to make science and technology industries more inclusive. Silvia Chiappa, Senior Research Scientist at DeepMind, gave us insights about her career in science, how we can overcome barriers for women in tech, and more.
Topics: Machine Learning, Deep Learning, A I, Women in Tech
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 their customers and deliver the best shopping experience. We spoke to Kumar Ujjwal, Senior Product Manager of Big Data & Machine Learning at Kohl's Department Stores, to learn more about deep learning in micro-moments.
Topics: Big Data, Machine Learning, Deep Learning, A I
Production systems have an increasingly high level of expectation for reliability and robustness, which is challenging to achieve on continuous basis, leading more and more companies to use artificial intelligence wherever possible to ease the strain on labour and finances. We spoke to Abdelrahman Ogail, a Software Development Engineer in the core machine learning team at Amazon Robotics, to learn more about how they're revolutionizing warehouses through smart robotics.
Topics: Machine Learning, Deep Learning, A I, Robotics
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. As this year's Deep Learning Summit and Virtual Assistant Summit draw closer, we're taking a look back at some of the mind-expanding presentations and interviews from 2016, from medical chatbots to Ex Machina.
Topics: Machine Learning, Deep Learning, Virtual Assistant Summit, Healthcare
Congested traffic in cities and drivers searching suitable parking spots is a massive problem that must be addressed if we are to successfully combat climate change and meet sustainable development goals. Mathias Bürki, PhD Candidate in the Autonomous Systems Lab at ETH Zurich, discusses bringing fully autonomous driving into urban environments, and visual localization and mapping systems in the context of autonomous driving.
Topics: Machine Learning, A I, Smart Transport, Connected Car
Autonomous machines that interact, collaborate and co-exist with humans are becoming more and more functional, making their way out of research labs and into industry. But despite successes in robot function, robot interaction with people is lagging behind. We spoke to Anca Dragan, Assistant Professor at UC Berkeley and Founder of the InterACT Lab, to learn more about advancements in human-computer interaction.
Topics: Women in Tech, Humanoid Robots, Industrial Automation, Home Automation