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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> O'Reilly Media, Inc.
·-- LECTURESHIP ---·> O'Reilly Artificial Intelligence Conference 2016
New York
·-- ISBN ----------·> 9781491973905
·-- LECTURE DATE --·> 06-2017
09-2016 {Published}
·-- PERIOD in HRS--·> 25+
·-- SCALE ---------·> 76x100mb
·-- WORKING FILES--·> [ ] Included
[■] Without
·-- LECTURE LINK --·> https://goo.gl/m4OI9t
·-- SOME NOTES ----·> Those Keynotes are available as
different resolutions, we decide
to release the keynotes as 640x360 @ best,
everything else would be too big!
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The O'Reilly Artificial Intelligence Conference provided compelling
evidence that 2016 is the year artificial intelligence moved from the
province of university labs to being a critical part of the software
developer's toolkit and a focus for mainstream companies.
Whether youÆre a data scientist or software engineer looking to keep up
with the latest developments; a CO in analytics, data, information,
innovation or technology investigating AI trends; or a VC or corporate
strategist evaluating new business opportunities, you'll find new
information and insight in these videos. The compilation includes all
keynotes and sessions.
Watch rapid-fire keynotes from IntelÆs Genevieve Bell on the meaning of
intelligence within the context of machines; OÆReillyÆs founder Tim
OÆReilly on the reasons why society must not fear artificial
intelligence; MicrosoftÆs Lily Cheng on the success of Xiaoice, the
companyÆs Chinese AI-driven chatbot); and many other visionaries.
Conference sessions include: Automated InsightsÆ Robbie Allen on the
future of natural language generation over the next 10 years; IntelÆs
Vin Sharma on the companyÆs investment in open AI solutions for the
autonomous driving, healthcare, and financial services industries; UC
BerkeleyÆs Pieter Abbeel on reinforcement learning in robotics;
Preferred NetworksÆ Shohei Hido on a Python framework for complex neural
networks; GoogleÆs Martin Wicke on the TensorFlow-based APIs that will
democratize machine learning; and Cortical.ioÆs Francisco Webber on
semantic folding, an alternative to the big data machine learning
approach to AI.
- Total access to each of the 13 keynotes and 42 sessions delivered at
AI NY 2016
- Energized discourse by 66 AI experts from 39 of the worldÆs top AI
companies and research groups
- High-level briefings from MIT, HKUST, UCB, Stanford, and the Allen
Institute for Artificial Intelligence
- Demos of Capital OneÆs CI tool for cybersecurity and IntelÆs Xeon Phi
machine learning product line
- Strategic advisories from FirstMark Capital, HyperScience, McKinsey,
and The Longevity Fund
- Deep learning updates from TensorFlow, Enlitic, Algorithmia, and
BaiduÆs Silicon Valley AI Lab
- Demos of NVIDIAÆs neural network tool DIGITS and x.aiÆs AI personal
assistant "Amy"
- Insider looks at MicrosoftÆs Project Malmo and the deep learning
toolkit CNTK
- Overviews of breakthroughs in CNN based image, speech and emotion
recognition