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Comic-Con 2016 - Beyond Human: The Rise Of Machine Intelligence #SDCC
The document discusses the rise of machine intelligence and its applications in various industries, highlighting the development of conversational AI and intelligent autonomous agents. It mentions the integration of AI technologies such as machine learning, natural language processing, and analytics into everyday products and workflows. Additionally, it references films portraying artificial intelligence and provides links to resources explaining machine learning.
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Comic-Con 2016 - Beyond Human: The Rise Of Machine Intelligence #SDCC
- 1. Beyond Human: The RiseOf Machine Intelligence Lucas Ives PullString @Lri - @PullStringInc Nigel Duffy Sentient Technologies n/a - @sentientdai Sarah Austin Broad Listening @sarahaustin @BroadListening Brandon Wirtz Recognant @bwops - n/a Greg Corrado Google n/a - @googleresearch Danny Sullivan Search Engine Land @dannysullivan @sengineland #SDCCAI Thanks: @Sbroback & @Dent
- 2. •Industry leading platformfor building computer conversation •Author-driven •Leverages advantages of AI, ML, NLP, ASR •Direct support for team-based workflows •Write once, publish anywhere •Scalability, analytics, enterprise security
- 4. INTELLIGENT AUTONOMOUS AGENTS Nigel Duffy,Chief Technology Officer Sentient Technologies
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- 14. Already in EverydayProducts Photos Inbox Maps
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- 31. List of artificialintelligence films https://en.wikipedia.org/wiki/List_of_artificial_intelligence_films Which movies get artificial intelligence right? http://www.sciencemag.org/news/2015/07/which-movies-get-artificial-intelligence- right How Machine Learning Works, As Explained By Google http://marketingland.com/how-machine-learning-works-150366 Image credits: Wikipedia & Google
- 32. Beyond Human: The RiseOf Machine Intelligence Greg Corrado Google n/a - @googleresearch Lucas Ives PullString @Lri - @PullStringInc Sarah Austin Broad Listening @sarahaustin @BroadListening Nigel Duffy Sentient Technologies n/a - @sentientdai Brandon Wirtz Recognant @bwops - n/a Danny Sullivan Search Engine Land @dannysullivan @sengineland #SDCCAI Thanks: @Sbroback & @Dent
Editor's Notes
- #13 find photos using text search, or face clustering quick, context-sensitive replies to email dedupe cleans noisy/bad data Google Photos - Back in the day of film cameras, or even digital cameras, we took a few pictures could afford the time to organize our photos. With the rise of mobile phones and higher capacity memory cards, we take far more pictures than we can curate. Image clustering (e.g. each family member) and search for untagged photos allows us to discover images in our collection. Smart Reply - Typing on a phone is hard, and we are often rushed by the deluge of email. Having prepared answers allows to tackle email more efficiently. Dedupe - Our data might have a lot of duplicate locations, for example two adjacent Starbucks locations. Except if you’re in Seattle, you may not want to dedupe as there really are that many Starbucks!
- #15 find photos using text search, or face clustering quick, context-sensitive replies to email dedupe cleans noisy/bad data Google Photos - Back in the day of film cameras, or even digital cameras, we took a few pictures could afford the time to organize our photos. With the rise of mobile phones and higher capacity memory cards, we take far more pictures than we can curate. Image clustering (e.g. each family member) and search for untagged photos allows us to discover images in our collection. Smart Reply - Typing on a phone is hard, and we are often rushed by the deluge of email. Having prepared answers allows to tackle email more efficiently. Dedupe - Our data might have a lot of duplicate locations, for example two adjacent Starbucks locations. Except if you’re in Seattle, you may not want to dedupe as there really are that many Starbucks!
- #16 Pedestrian detection isn’t the only component of a self-driving car, but it is critical to understand what is a pedestrian. This photo was taken around Halloween 2015 on the top level of the parking garage at the X office, where they test some of the cars. Understanding that pedestrians may not all have humanoid forms is important when the streets flood with kids every Halloween.
- #18 We have build programs so that machine can learn how to play Atari games from the raw pixels and a score. And now, we’re tackled the most complex game - Go. In October 2015, AlphaGo beat the European champion, Fan Hui (whom we subsequently hired as advisor). Everyone thought that the “solving” Go would take many more decades. In March 2016, we took on the leading world player Lee Sedol. AlphaGo won 4-1. This represents a significant achievement in AGI. Go is a ~3000 year old game from China. Rules are very simple, but the number of game configurations is vast, ~641 orders of magnitude more than chess (10e761 vs 10e120). It is impossible to compute all possible configurations - there are more than the number of atoms in the universe. Chess - Deep Blue - 1997 Jeopardy - Watson - 2011