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Next Steps for AI: Getting Closer to Human Intelligence through Robots
EVENT ITINERARY: 5:50 – 6:30 PM – Sign-in at Front Desk 6-6:30 PM – Network & Announcements 6:30 – 7:30 PM – "Next Steps for AI: Getting Closer to Human Intelligence through Robots" - Brandon Rohrer 7:30 – 8 PM – Q&A --------------------------------------------- ABSTRACT: AI can currently challenge and outperform humans in a few particular tasks, like reading lips and playing Go. However, it still has a long way to go before it can compare with us on breadth and adaptability. Learning how to control physical robots doing complex tasks in new and complicated environments will assist AI in bridging this gap. To achieve this goal, Machine Learning Algorithms will have to learn unfamiliar skills in a constantly changing world while dealing with uncertainty, adversaries and the inevitable changes of age in their hardware. They will also have to integrate a wide variety of concrete and abstract information of varying reliability to make a stream of decisions, without using too much time or energy in the process. It may sound like a high bar to clear to earn the title of “intelligence”, but it is no more than we demand from human children. In this talk, the speaker will take a closer look at the gap between AI and biological intelligence, defined both by how performance is measured and by the prevailing assumptions baked into machine learning systems. The talk will also focus on how we get from the present to our envisioned future, including critical algorithmic research topics and benchmarks that can help focus the AI community's research efforts. SPEAKER BIO - B̲r̲a̲n̲d̲o̲n̲ ̲R̲o̲h̲r̲e̲r̲ loves solving puzzles and building things. Practising data science gives him the opportunity to do both in equal measure. Like most data scientists, he came to the field indirectly. He started by studying robotics and human rehabilitation at MIT (MS '99, PhD '02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modelling of agriculture DuPont Pioneer, and cloud data science at Microsoft. Now at Facebook, Brandon works to get internet and electrical power to those in the world who do not have it, using deep learning and satellite imagery. In his spare time, he likes to rock climb, write robot learning algorithms, and go on walks with his wife and their dog, Reign of Terror. Please visit B̲r̲a̲n̲d̲o̲n̲ ̲R̲o̲h̲r̲e̲r̲'s Linkedin Page if you want to find out more about his work and interests: https://www.linkedin.com/in/brohrer

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Respond by: 8/13/2018

    Past Meetups (80)

    What we're about

    The Boston Data Mining is part of the Open Data Science Meetup Group.

    It is the energy and enthusiasm of the members of Boston Data Mining Group which spearheaded the launch of ODSC.

    The meetup continues to focus on making data mining/science accessible to everyone. It aims to be inclusive to everyone regardless of their skill level. Our talks focus on the practical side of AI, Data Mining, product development and analytics

    Our Goals:

    • Host talks on a wide range of topics related to data mining/science.

    • Focus on the practical side of data mining/science.

    • Make data mining and data analytics accessible to everyone.

    • Increase awareness of open source data mining tools

    Our Members:

    • Any and everyone who is interested in doing data mining and analytics.

    Follow #ODSC on:

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