Next Meetup

Three Steps to Applying Machine Learning to Self-Driving Vehicles
Recent advances in artificial intelligence and robotics have unlocked new capabilities and potential for autonomous self-driving vehicles. However, bringing these vehicles outside of the lab into the real world requires careful consideration of safety and reliability. Ryan Gariepy of Clearpath Robotics & OTTO Motors will not only tell you why starting by putting self-driving vehicles on the road as a first step isn't a good idea, he will also tell you how his team is able to take advantage of state of the art research without compromising safety. Speaker Bio Ryan is the CTO of Clearpath. He drives research and development of the OTTO industrial self driving vehicle software and guides the continued expansion of Clearpath’s world-leading efforts in supporting robotics researchers. He is also a co-founder of the Robot Operating System developers’ conference and is a member of a variety of industrial and academic steering committees. He is on the Board of Directors for the Open Source Robotics Foundation and Next Generation Manufacturing Canada. He has completed a bachelor’s degree in mechatronics engineering and a master’s degree in mechanical engineering at the University of Waterloo, and has over two dozen pending patents in the field of intelligent systems. His previous work experience included UAV user experience and control systems design at Aeryon Labs followed by deployment and systems analysis on fleets of robots at Kiva Systems (now Amazon Robotics).

Wayfair

4 Copley Place Floor 7 · Boston, MA

    Past Meetups (17)

    What we're about

    Artificial Intelligence is a broad topic related to the simulation of intelligent behavior in computers. While we are a long ways away from general human-like behavior (i.e. Artificial General Intelligence or AGI), the era of narrow, specific applications of AI (i.e. Artificial Narrow Intelligence or ANI) has already begun. In fact, with the open sourcing of Google TensorFlow and the availability of many cloud-based services like Amazon Machine Learning, there has never been a better time to start building intelligent behaviors into your application.

    Fortunately for us, Boston is flush with AI-focused organizations of different sizes from Amazon to Facebook to Kayak to GetHuman. In this meetup, we will have the best and the brightest from our community speak about the many exciting and inspirational AI innovations that are happening right in our backyard.

    We believe that AI will be a core competency for many developers in the future and we hope that this meetup will help introduce developers unfamiliar with AI to the concepts as well as dive deep into some of the more interesting applications of AI within our ecosystem.

    Sponsors

    • Kayak (https://kayak.com) - Search flights, hotels and rental cars

    • Amazon (https://amazon.com) - Online shopping and cloud services

    • Google (https://google.com) - Search engine and a lot of other stuff

    • Facebook (https://facebook.com) - Social web app

    • GetHuman (https://gethuman.com/phone-number/Comcast) - Contact information like Comcast's phone number

    • Staples (https://staples.com) - Inter-disciplinary team of team of Data Scientists and Data Engineers working on Supply Chain Management

    Members (4,066)

    Photos (42)

    Find us also at