Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive vision and scene understanding. Recently his work has received a lot of media attention, including features in Forbes, Wired, CNN and PopSci, and other media outlets worldwide. As part of his work with MIT CSAIL, Carl built a deep learning vision system for AI to learn and understand human behaviour and interactions, using popular TV shows like The Office, Desperate Housewives, and YouTube videos. The resulting algorithm analyzes videos, then uses what it learns to predict how humans will behave.

RE•WORK's fifth global Machine Intelligence Summit kicked off today in Hong Kong, hosted alongside the AI in Healthcare Summit, which saw a mix of researchers, industry experts and startups explore the latest machine learning, AI tools and techniques. With two tracks, a full day of presentations, workshops, networking and a VC session, there was plenty to capture everyone's attention. Leading minds from NASA, eBay, and HSBC lead the way on topics such as deep learning for eCommerce and using GANs in algorithmic trading. The morning began with attendees grabbing breakfast and sitting down to listen to the Deputy Government CIO at The Government of the HKSAR speak on how they are using big data and AI to develop Hong Kong as a smart city. Their main goal is to use AI to make more informed decisions which will improve both the quality of public services and the quality of life of Hong Kong's citizens.

What does the future of Artificial Intelligence mean for you? The UK Government announced just this week, a new £1 Billion Drive Into Artificial Intelligence. "Artificial intelligence provides limitless opportunities to develop new, efficient and accessible products and services", said Business Secretary Greg Clark. For 2 days, we're bringing together world leading researchers and industry pioneers to learn, discuss and explore the impact machine learning and deep learning algorithms will have on your business and across our daily lives. With just over one month to go, we're highlighting the 10 reasons not to miss the upcoming Machine Intelligence Summit, taking place in Hong Kong on 6-7 June.

For 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 necessary prerequisite for many mobile robot applications, understanding the semantics of the environment will enable novel applications, which require more advanced cognitive abilities. Sven Behnke, Head of Autonomous Intelligent Systems Group at the University of Bonn, is tackling this area of robotics by combining dense geometric modelling and semantic categorization. Through this, 3D semantic maps of the environment are built. Sven's team have demonstrated the utility of semantic environment perception with cognitive robots in multiple challenging application domains, including domestic service, space exploration, search and rescue, and bin picking.

How close are artificial intelligence systems to human-level intelligence? This poses numerous questions about impact and timescales, as well as potential positive effects on our environment. The RE•WORK Machine Intelligence Summit, taking place on 28-29 June 2017 in Amsterdam, will explore these impacts in depth. Robots are goal orientated in nature and thus perceive their environment as such. In order to achieve goals based in cognition, robots not only need to map their environment but also discern semantics.

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 approaches for automatic playlist generation. A variety of factors play a role in influencing a listener's perception of what music is appropriate on a given seed (e.g. Erik Schmidt, Senior Scientist at Pandora will be presenting at the Machine Intelligence Summit in San Francisco, 23-24 March. Erik will present an overview of recommendations at Pandora, followed by a deep dive into the challenges of recommending content.

To celebrate the New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 26 December to 6 January. Simply enter the code NEWYEAR at the checkout to receive your 20% discount on ANY summit ticket (including our on-demand video memberships). This offer is also applicable to our already discounted Super Early Bird and Early Bird passes, giving you a massive double saving! At our 2017 summits, we will be exploring Deep Learning in Healthcare; Finance and Retail; Machine Intelligence in Autonomous Vehicles; Virtual Assistants; Women in Machine Intelligence; and more.

Over 200 attendees came together at the Machine Intelligence Summit to explore the opportunities of advancing trends in machine learning and their applications in business and society. How will AI impact transport, manufacturing, healthcare, retail and more?

Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive vision and scene understanding. Recently his work has received a lot of media attention, including features in Forbes, Wired, CNN and PopSci, and other media outlets worldwide. As part of his work with MIT CSAIL, Carl built a deep learning vision system for AI to learn and understand human behaviour and interactions, using popular TV shows like The Office, Desperate Housewives, and YouTube videos. The resulting algorithm analyzes videos, then uses what it learns to predict how humans will behave.

The artificial intelligence market is growing rapidly, and companies are now looking to invest in technologies that can help them gain a competitive edge in business. What are the latest breakthroughs in machine intelligence research and how will their application impact the future of business and society? Machine Intelligence is the umbrella term for the growing ecosystem of companies working in the areas of artificial intelligence, deep learning, machine learning and robotics fields. The explosion of this rapidly advancing market has caught the attention of press and an increasing number of large-scale investments, and despite the hype there are valuable applications of the technology which can be used to help us to solve real challenges in business and society. With only one month to go, we're highlighting the 10 not to be missed topics at the upcoming Machine Intelligence Summit, taking place in New York on 2-3 November.