Have you thought about adding artificial intelligence to your project? It's easier than you think, and NVIDIA is making AI fully accessible to makers, self-taught developers, and embedded technology enthusiasts by providing the tools and inspiration to get up and running fast. In this contest, you'll tap into the power of the new NVIDIA Jetson Nano - a powerful, easy-to-use, mini AI computer that lets you run multiple neural networks in parallel. It's perfect for any project using image classification, object detection, segmentation, speech processing, and more. NVIDIA is giving away thousands in prizes including a paid trip to NVIDIA GTC 2020, a brand new Titan RTX, a Jetson AGX Xavier Developer Kit, and Public Cloud Compute credits that you can use for your next project.

There has been a revolution brewing in the technology industry. An artificial intelligence (AI) method called deep learning that uses deep or multi-layer neural networks is dramatically improving computer vision and video analytics. So much so that deep learning-based computer vision can now beat human capability in rapidly identifying objects in images. With video technology all around us -- it's this deep learning that can help us process vast amount of data that has been too great to humans alone to process. Now, we at IBM are taking this technology to the next step.

Video is the world's largest generator of data, captured by hundreds of millions of cameras in areas like government property, public transit, commercial buildings, and roadways. The number of cameras is expected to rise to more than one billion by 2020. AI technology enables powerful intelligent video analytics that can turn this staggering number of pixels into public safety and smart city solutions. NVIDIA Metropolis is the foundation of the AI City--an edge-to-cloud platform that can turn anonymized video into valuable insights. Driven by powerful technologies like NVIDIA Jetson TX2 at the edge and NVIDIA Tesla in the data center, it delivers intelligent video analytics for a wide range of applications.

Get to know some intelligent machines and the developers who built them. Join us for a night of cocktails/appetizers, tech talks, and learn how our partners, developers and start-ups are using the Jetson TX1 AI supercomputer to create intelligent devices to solve tomorrow's problems today. Meet Jetson partners and hear first-hand how they took their projects from idea to reality. Get to know folks from Horus, Parrot and many more --companies that are using Jetson every day! And, of course, we'll have swag.

That's how much content will be captured by 2020 by surveillance cameras across the globe. These one billion cameras -- twice today's number -- will be at traffic intersections, transit stations and other public areas, helping to make our cities safer and smarter. They'll be in retail stores, service centers, warehouses, and more, gathering information to boost sales, track inventory and improve service. But how to make sense of this staggering number of pixels? But a branch of artificial intelligence called deep learning offers a powerful, scalable method for extracting the most out of these vision systems.

AI has impacted our day-to-day lives for years, whether that's automated voice calls or virtual personal assistants - like Siri - or even self-driving cars. The next step is to implement AI technology into personal and cyber security systems. Currently, one or two guards will monitor a bank of security screens, and it is a successful method of security, but it is not full proof. Eliminating human error is a key driver behind bringing Artificial Intelligence to security through intelligent video analytics. Humans can easily get distracted, generally have short attention spans, and often find it difficult to focus on multiple things at once - a bank of security screens.

Video has taken the world by storm with a myriad of intelligent devices continuously capturing vast amounts of data about how people live and what they do. At the end of 2014, IHS Technology estimated over 245 million operational cameras were active globally. London alone has 500,000 cameras dotted throughout the city, which works out at about one camera for every 16 people. Thanks to smart cameras, CCTV devices, and even drones mounted with intelligent cameras, users are able to record videos at an unprecedented scale and pace. This vast store of data-rich content is used for a range of purposes – from gaming and law enforcement to crowd management at large events.

Video has taken the world by storm with a myriad of intelligent devices continuously capturing vast amounts of data about how people live and what they do. At the end of 2014, IHS Technology estimated over 245 million operational cameras were active globally. London alone has 500,000 cameras dotted throughout the city, which works out at about one camera for every 16 people. Thanks to smart cameras, CCTV devices, and even drones mounted with intelligent cameras, users are able to record videos at an unprecedented scale and pace. This vast store of data-rich content is used for a range of purposes – from gaming and law enforcement to crowd management at large events.