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<H3 CLASS="p1"><SPAN CLASS="s1">Winner Takes All:How AI Is Learning About Us By Playing Classic Video Games & Why the Results Are So Shocking</SPAN></H3>
<H4 CLASS="p1"><SPAN CLASS="s1">About This Workshop</SPAN></H4>
<DIV>"<EM>The obvious objective of video games is to entertain people by surprising them with new experiences.</EM>"<A HREF="https://www.brainyquote.com/quotes/quotes/s/shigerumiy443920.html?src=t_games" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Shigeru Miyamoto</A></DIV>
<P><IMG ALT="" SRC="https://tech2025.com/wp-content/uploads/2017/05/packman-gif.gif"></P>
<P>Xerox Research Scientist, Adrien Gaidon, recently remarked that, It's hard for a human to teach AI because they are worse than the worst toddlers in the world-you have to explain<EM>everything</EM>. It might be hard for human beings to teach AI, but video games like Atari, Go, poker, Jeopardy, Super Mario World, & Minecraft (among others), are doing an astounding job of teaching algorithms (the underpinnings of Artificial Intelligence) to learn how to "understand" & navigate the complicated world we inhabit. But<EM>how</EM>are videos able to train AI so well & what are the implications for the development of AI?</P>
<P CLASS="userdept"><SPAN><STRONG>JOIN US</STRONG></SPAN>for this special, interactive workshop featuring guest instructor,<SPAN CLASS="sender-name"><A HREF="http://engineering.nyu.edu/people/julian-togelius" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow"><STRONG>Julian Togelius</STRONG></A>(Assoc. Professor,</SPAN>Artificial Intelligence in Games, NYU Tandon School of Engineering), as we delve into the fascinating world of training algorithms using various types of games (from board games, to video games, to strategic games).</P>
<H4 CLASS="p1"><SPAN CLASS="s1">What Will This Workshop Cover?<BR></SPAN></H4>
<P CLASS="userdept">Dr. Togelius will give us a brief but insightful overview of the history of gaming being used to train AI, highlight some of the most notable & shocking advancements in AI that have come about as a result of using games to train them (ie, Alpha Go, Jeopardy, etc.), & get us up to speed on the latest research & findings in this space.</P>
<P CLASS="userdept">Questions & topics we'll be reviewing (among other things) include:</P>
<UL>
<LI>What exactly are we trying to train algorithms to do using games? What are the expectations of researchers working in this space?</LI>
<LI>How are games helping us to define<A HREF="https://en.wikipedia.org/wiki/Artificial_general_intelligence" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow"><EM>Artificial General Intelligence</EM></A>?</LI>
<LI>What are some of the challenges & disappointments researchers have experienced training AI using games?</LI>
<LI>What are the limitations of teaching AI using games?</LI>
<LI>How are AI consortiums like Elon Musk's OpenAI using games to train AI & what are their goals?</LI>
<LI>How are games being used to teach driverless car algorithms to drive?</LI>
<LI>How does the research & development in this space impact businesses (from startups, to enterprise)?</LI>
<LI>As AI improves surprisingly quickly, & literally beats us at our own games, what are we learning about ourselves that we didn't know before training AI using games?</LI>
<LI>Are there games that can teach<EM>human beings</EM>about how to understand & work with AI (ie, robots)?</LI>
</UL>
<P CLASS="p1">After the presentation, we will have our popular interactive, group experience where you will get the opportunity to explore & answer some of the challenging problems in this space with others who are just as intrigued by this topic as you are!</P>
<H4 CLASS="p1"><SPAN CLASS="s1">Prerequisite</SPAN></H4>
<P>No technical experience required. This is a<STRONG><SPAN>non-technical</SPAN></STRONG>workshop meant for everyone: marketers, advertisers, developers, engineers, product managers, investors, data analysts, students, policy wonks -- all are welcome! Here's a few articles on recent developments in this space that you may find informative & helpful:</P>
<UL>
<LI CLASS="article__title"><A HREF="http://www.blastr.com/2017-3-16/google-using-old-atari-games-teach-artificial-intelligence-how-learn" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Google is using old Atari games to teach artificial intelligence how to learn</A></LI>
<LI CLASS="article__title"><A HREF="https://motherboard.vice.com/en_us/article/elon-musks-group-wants-to-use-video-games-to-teach-ai-about-life" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Elon Musk's Group Wants to Use Video Games to Teach AI About Life</A></LI>
<LI><A HREF="https://www.wired.com/2016/04/videogames-ai-learning/" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Making AI Play Lots of Video Games Could Be Huge</A></LI>
<LI><A HREF="http://mentalfloss.com/article/72090/why-ai-systems-are-learning-play-old-school-video-games" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Why AI Systems Are Learning to Play Old-School Video Games</A></LI>
<LI><A HREF="https://www.bloomberg.com/news/articles/2017-04-17/don-t-worry-driverless-cars-are-learning-from-grand-theft-auto" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Don't Worry, Driverless Cars Are Learning From Grand Theft Auto</A></LI>
<LI><A HREF="https://www.wired.com/2016/01/in-a-huge-breakthrough-googles-ai-beats-a-top-player-at-the-game-of-go/" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">In a Huge Breakthrough, Googles AI Beats a Top Player at the Game of Go</A></LI>
<LI><A HREF="http://www.nytimes.com/2011/02/17/science/17jeopardy-watson.html?pagewanted=all&_r=0" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Google Wins on Jeopardy: Trivial, It's Not</A></LI>
<LI><A HREF="http://www.techrepublic.com/article/ibm-watson-the-inside-story-of-how-the-jeopardy-winning-supercomputer-was-born-and-what-it-wants-to-do-next/" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">IBM Watson: The Inside Story of How the Jeopardy-Winning Supercomputer Was Born, & What It Wants to Do Next</A></LI>
<LI><A HREF="http://www.sciencemag.org/news/2017/03/artificial-intelligence-goes-deep-beat-humans-poker" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Artificial Intelligence Goes Deep to Beat Humans at Poker</A></LI>
<LI><A HREF="https://www.pokernews.com/news/2017/01/how-to-watch-the-brains-vs-ai-poker-rematch-26767.htm" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">How To Watch the Brains Vs. AI Poker Rematch</A></LI>
<LI><A HREF="https://www.pokernews.com/news/2017/01/how-to-watch-the-brains-vs-ai-poker-rematch-26767.htm" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">Kick back & watch our AI learn to play Atari games in real-time</A></LI>
</UL>
<H4><SPAN CLASS="aligncenter">Agenda</SPAN></H4>
<UL>
<LI>6pm - 6:15pm - Sign in, enjoy lite bites & beverages</LI>
<LI>6:15 - 6:20 - Introduction, Tech 2025 announcements, sponsor acknowledgement</LI>
<LI>6:20 - 6:45 - Guest instructor,<SPAN CLASS="sender-name">Julian Togelius, presentation</SPAN></LI>
<LI>6:40 - 7:50 - Interactive group exercises & problem-solving</LI>
<LI>7:50 - 8pm - Final thoughts & Q&A</LI>
</UL>
<H4>Guest Presenter</H4>
<P><IMG ALT="" SRC="https://tech2025.com/wp-content/uploads/2017/05/Julian-Togelius-300x250.jpeg"></P>
<P><SPAN CLASS="sender-name"><A HREF="http://engineering.nyu.edu/people/julian-togelius" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow"><STRONG>Julian Togelius</STRONG></A><STRONG>, Associate Professor,</STRONG></SPAN><STRONG>Artificial Intelligence in Games, Procedural Content Generation, Player Modelling, Games Researcher, NYU Tandon School of Engineering.</STRONG></P>
<P>I work on artificial intelligence & games. I research & develop methods for making games more fun, easier to design & develop, more adaptive, or just to enable games & interactive experiences that we cannot yet create. I'm interested in all kinds of games that people actually play: video games, board games, card games or mind games.</P>
<P>When it comes to AI techniques I'm flexible & willing to engage with all kinds of methods, but my methodological roots are in evolutionary computation & neural networks.</P>
<P>Some keywords that describe what I do are game AI, player modelling, procedural content generation, automatic game design, believable bot behaviour, coevolution, neuroevolution, genetic programming & monte carlo tree search.</P>
<P>Read his research & articles<A HREF="http://julian.togelius.com/" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow"><STRONG>HERE</STRONG></A> /<STRONG>Twitter:</STRONG><A HREF="http://twitter.com/togelius" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">@togelius</A>/<STRONG>LinkedIn:</STRONG><A HREF="http://www.linkedin.com/in/togelius" TARGET="_blank" REL="noopener noreferrer noopener nofollow noopener noreferrer nofollow nofollow noreferrer nofollow">linkedin.com/in/togelius</A></P>
<P CLASS="p1"><SPAN CLASS="s1"><BR></SPAN></P>
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