| || * 2o17 PGA CREW
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| __/ ___/ / | _ / _ | _ | _ | |___| \ \| _ |
| | | |______| __/ \ | \ | \ | _ | |\ \ \ |mK^dS!
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| || 2o17.o6.16 | |
| - HOT.OFF.THE.PRESS !! || | WE.WARP.YOUR.MIND.WITH |
| -------------------- `----------------' ---------------------- |
| ....[PROPAGANDA].................................................. |
| || : |
| || OREILLY.ARTIFICIAL.INTELLIGENCE.CONFERENCE.2016.NEW.YORK.NY : |
| || PART2.TUTORiAL-PROPAGANDA PART [2/2] : |
| ||...............................................................: |
| |
| ....[URL]......................................................... |
| || http://tinyurl.com/ydabxz92 : |
| ||...............................................................: |
| |
| ....[ISBN/COURSE.NUMBER].......................................... |
| || ISBN-13: 978-1-49-197391-2 : |
| ||...............................................................: |
| |
| ....[COURSE.iNFO]................................................. |
| || By: O'Reilly Media, Inc. : |
| || Publisher: O'Reilly Media, Inc. : |
| || Copyright: 2017 : |
| || Release Date: September 2016 : |
| || ISBN-13: 978-1-49-197391-2 : |
| || Topics: Artificial Intelligence / Software Development : |
| || ------------------------------------------------------------- : |
| || Description : |
| || ----------- : |
| || 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 you are 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 Intels Genevieve Bell on the : |
| || meaning of intelligence within the context of machines; : |
| || OReillys founder Tim OReilly on the reasons why society must : |
| || not fear artificial intelligence; Microsofts Lily Cheng on the: |
| || success of Xiaoice, the company Chinese AI-driven chatbot); : |
| || and many other visionaries. : |
| || : |
| || Conference sessions include: Automated Insights Robbie Allen : |
| || on the future of natural language generation over the next 10 : |
| || years; Intels Vin Sharma on the company investment in open AI : |
| || solutions for the autonomous driving, healthcare, and : |
| || financial services industries; UC Berkeleys Pieter Abbeel on : |
| || reinforcement learning in robotics; Preferred Networks Shohei : |
| || Hido on a Python framework for complex neural network; Googles: |
| || Martin Wicke on the TensorFlow-based APIs that will : |
| || democratize machine learning; and Cortical.ios Francisco : |
| || Webber on semantic folding, an alternative to the big data : |
| || machine learning approach to AI. : |
| || : |
| || O'Reilly Artificial Intelligence Conference : |
| || : |
| || - 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 worlds : |
| || top AI companies and research groups : |
| || : |
| || - High-level briefings from MIT, HKUST, UCB, Stanford, and the: |
| || | || - Allen Institute for Artificial Intelligence : |
| || : |
| || - Demos of Capital Ones CI tool for cybersecurity and Intels : |
| || 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 Baidus Silicon Valley AI Lab : |
| || : |
| || - Demos of NVIDIAs neural network tool DIGITS and x.ais AI : |
| || personal assistant "Amy" : |
| || : |
| || - Insider looks at Microsofts Project Malmo and the deep : |
| || learning toolkit CNTK : |
| || : |
| || - Overviews of breakthroughs in CNN based image, speech and : |
| || emotion recognition : |
| || : |
| ||...............................................................: |
| |
| ....[TABLE.OF.CONTENTS]........................................... |
| || : |
| || O'Reilly Artificial Intelligence Keynotes : |
| || - Software engineering of systems that learn in uncertain : |
| || domains - Peter Norvig (Google) 00:14:03 : |
| || - Why we'll never run out of jobs - Tim O'Reilly (O'Reilly : |
| || - Media, Inc.) 00:19:00 : |
| || - Artificial intelligence: Making a human connection - : |
| || Genevieve Bell (Intel Corporation) 00:10:43 : |
| || - Humanizing AI development: Lessons from China and Xiaoice at: |
| || - Microsoft - Lili Cheng (Microsoft Research) 00:21:16 : |
| || - How AI is propelling driverless cars, the future of surface : |
| || transport - Shahin Farshchi (Lux Capital) 00:13:48 : |
| || - Obstacles to progress in AI - Yann LeCun (Facebook) 00:18:42: |
| || - Minds and brains and the route to smarter machines - Gary : |
| || Marcus (Geometric Intelligence) 00:16:38 : |
| || - Thors hammer - Jim McHugh (NVIDIA) 00:12:22 : |
| || - Lesssons on building data products at Google - Aparna : |
| || Chennapragada (Google) 00:18:02 : |
| || - Deep learning at scale and use cases,Naveen Rao 00:15:34 : |
| || - Why AI needs emotion - Rana El Kaliouby (Affectiva) 00:16:18: |
| || Impact on business & society : |
| || - What I learned by replacing middle-class manufacturing jobs : |
| || with ML and AI - Eduardo Arino de la Rubia(Domino Lab) 46:19: |
| || - The future of natural language generation, 2016-2026 - : |
| || Robbie Allen (Automated Insights, Inc.) 00:40:39 : |
| || - The new artificial intelligence frontier - Babak Hodjat : |
| || (Sentient Technologies) 00:39:30 : |
| || - The future of AI - Oren Etzioni (Allen Institute 4 AI) 42:24: |
| || Implementing AI : |
| || - How to make robots empathetic to human feelings in real time: |
| || Pascale Fung (The Hong Kong University Science) 00:42:23 : |
| || - How advances in deep learning and computer vision can : |
| || empower the blind community - Anirudh Koul (Microsoft) 37:47: |
| || - Growing up: Continuous integration for machine-learning : |
| || models Zachary Hanif (Capital One) 00:38:01 : |
| || - Deep learning: Modular in theory, inflexible in practice - : |
| || Diogo Almeida (Enlitic) : |
| || - Unlock the power of AI: A fundamentally different approach : |
| || to building intelligent systems - M. Hammond (Bonsai) 43:04 : |
| || - A peek at x.ais data science architecture - Angela Zhou : |
| || (x.ai) 00:26:06 : |
| || - How to scope an AI project - Jana Eggers (Nara Logics) 47:12: |
| || - AI is not a matter of strength but of intelligence - : |
| || Francisco Webber (Cortical.io) 00:45:14 : |
| || - Managing the deep learning computer-vision pipeline with : |
| || DIGITS - Jon Barker (NVIDIA) 00:33:42 : |
| || - Intel's new processors: A machine-learning perspective - : |
| || Amitai Armon (Intel) 00:39:14 : |
| || - Lesssons learned from deploying the top deep learning frame-: |
| || works in production - Kenny Daniel (Algorithmia) 00:36:47 : |
| || - The identities of bots: A learning architecture for : |
| || conversational software - Suman Roy (betaworks) 00:41:23 : |
| || - Deep neural network model compression and an efficient : |
| || inference engine - Song Han (Stanford University) 00:36:38 : |
| || - Benefits of scaling machine learning - Reza Zadeh (Stanford : |
| || | Matroid) 00:35:40 : |
| || - Building an AI startup: Realities and tactics - Matt Turck : |
| || (FirstMark Capital) and Peter Brodsky (HyperScience) 37:33 : |
| || Interacting with AI : |
| || - Deeply active learning: Approximating human learning w small: |
| || datasets combined with human assistance - B. Han 26:28 : |
| || - Combining statistics and expert human judgement for better : |
| || recommendations - (Stitch Fix) 00:40:57 : |
| || Sponsored : |
| || - Deploying AI-based services in the data center for real-time: |
| || responsive experiences - Sanford Russell (NVIDIA) 00:42:08 : |
| || Verticals & applications : |
| || - End-to-end learning for autonomous driving - (NVIDIA) 40:44 : |
| || - Making AI a reality for the enterprise & the physical world : |
| || Aman Naimat (Demandbase), M. Patel (McKinsey & Co.) 00:37:28: |
| || - Achieving precision medicine at scale: Building medical AI : |
| || to predict individual disease evolution in real time - Ash : |
| || Damle (Lumiata) 00:38:29 : |
| || - Leveraging artificial intelligence in creative technology - : |
| || J. Rubinovitz and A. Bearskin (DBRS Innovation Lab) 00:38:02: |
| || - Deep reinforcement learning for robotics - Pieter Abbeel : |
| || (OpenAI / UC Berkeley) 00:41:44 : |
| || - Interactive learning systems: Why now and how? - Alekh : |
| || Agarwal (Microsoft Research) 00:43:41 : |
| || Tools & methods : |
| || - Transforming your industry with cognitive computing - : |
| || Guruduth Banavar (Cognitive Computing, IBM) 00:44:40 : |
| || - The need for speed: Benchmarking deep learning workloads - : |
| || Greg Diamos (Baidu) and Sharan Narang (Baidu) 00:35:51 : |
| || - TensorFlow for mobile poets - Pete Warden (TensorFlow) 40:05: |
| || - Progress of delivering real AI workloads - Xuedong Huang : |
| || (Microsoft Research) 00:40:04 : |
| || - UnLocking AI: How to enable every human in the world to : |
| || train and use AI - Matt Zeiler 00:38:39 : |
| || - Chainer: A flexible and intuitive framework for complex : |
| || neural networks - Shohei Hido & Orion Wolfe (Preferred : |
| || Networks) 00:31:31 : |
| || : |
| || ** NOTE ON THIS RELEASE ** : |
| || : |
| || PGA, really is disappointed in the oxbridge releases of OSCON : |
| || and others where instead of releasing untouched files they : |
| || decided to re-encode the files. There are countless issues w : |
| || these releases. Here is a short list, we are not saying this : |
| || to harm or hurt oxbridge, just to explain why we are doing : |
| || things differently. : |
| || : |
| || 1.) If size is a problem / split up the release in 2 parts. : |
| || 2.) After re-encoding we noticed duplciate frames and bad : |
| || audio. The quality is very low (and was not great to begin: |
| || with. (If they can save on content delivery costs they : |
| || will =] : |
| || 3.) It looks like Oxbridge is using a standard template : |
| || now, this is a good starting point but his template will : |
| || fix (ren-encode on the fly) a stream that gets an out of : |
| || frame in the wrong order (or missed frame). PGA detects : |
| || these situations and deletes the video and re-records it : |
| || : |
| ||...............................................................: |
| |
| ....[SiZE.NUMBER.OF.DiSCS]........................................ |
| || 47 Files @ 500,000,000 Bytes = 21,968 MB : |
| ||...............................................................: |
| |
| ....[GREETINGS/Hi-5's]............................................ |
| || kEiSO - QUASAR - PRODEV - ELOHIM - JGTiSO - OXBRiDGE : |
| ||...............................................................: |
| |
| ....[FUCK-YOU's/NEWS]............................................. |
| || PROPAGANDA would like to see the quality and documentation of : |
| || the bookware scene to increase. Quality not Quanity. Original : |
| || untouched, content! We also would like to see the following to: |
| || allow automation of cataloging of bookware releases. : |
| || : |
| || RLS DIR / TITLE MUST BE FROM ISBN10/13 RELEASE INFO. : |
| || : |
| || ISBN13 NUMBER as FILE NAME OR IN RLS NAME APPROPRIATELY LABLED: |
| || IN NFO AT THE LEAST. : |
| || : |
| || PROPER AGREEMENT OF TO USE .ISO OR NOT ? THESE ARE NOT DVD'S : |
| || LIKE IN THE PAST WHEN BOOKWARE WAS ORDERED BY DISK. THESE ARE : |
| || USUALLY WEB RELEASES NOW DAYS AND THE ISO PROVIDES NO QUALITY.: |
| || : |
| || Working/Sample Files *MUST* be included and labled in archive : |
| || ISBN13#-WorkingFiles.zip or ISBN#-SampleFiles.zip : |
| || : |
| || PROPAGANDA WOULD LIKE TO SEE THE LIKES OF JGT/QUASAR/kE's & : |
| || OTHERS WORK FULFILLED AND THE QUALITY OF BOOKWARE PRESERVED & : |
| || PROVIDE A MECHANISM TO EASILY CHECK FOR DUPE AND COMPLETE RELS: |
| || --------------------------------------------------------------: |
| || Lastly - PROPAGANDA, would like to thank the people in the : |
| || bookware industry for doing what they do. We believe that : |
| || the real money to support the industry should come from the : |
| || corporate licensing contracts - that people who want to learn : |
| || should be able to do so. We encourage bookware / video / : |
| || e-learning and major Software and Hardware vendors to allow : |
| || access to these materials to whomever may want to learn these : |
| || technologies, so that we can bridge the educational gaps in : |
| || our communities world-wide. Companies like Cisco / Oracle / : |
| || IBM & Micro$oft already make billions off of their support : |
| || contracts and hw/sfw sales - Do they seriously benefit from : |
| || preventing people from learning these technologies? : |
| || : |
| || Regardless of the above, there are people who are instructors : |
| || and such who spend time writing and developing these courses, : |
| || we salute these ladies and lads, and hope they will encourage : |
| || a different way of funding these projects. They *DO* deserve : |
| || our support! If you have the means or you work in IT and you : |
| || use one of these courses to better yourself and get a raise, : |
| || then *BUY* one of these courses and show support to the hard : |
| || working instructors, editors, film crews and so-on that made : |
| || this course possible. IF YOU LIKE IT, *BUY* IT OR GET YOUR : |
| || WORKPLACE TO BUY A CORPORATE SUPPORT CONTRACT!! WE DID! : |
| || ------------------------------------------------------------- : |
| || /dev/random: : |
| || ------------ : |
| || They paint the world full of shadows, and then tell their : |
| || children to stay close to the light, their light, their : |
| || reasons, *their* judgements. Because in the darkness there be : |
| || dragons, but it is not true. We can prove that it is not true.: |
| || In the dark there is discovery, there is possibility, there is: |
| || freedom in the dark when someone has illuminated it. And who : |
| || who has been so close as we are right now? : |
| || : |
| || PGA is dedicated to the purity of real piracy, not for making : |
| || money off of it, or exploiting the scene in *ANY* way. We are : |
| || the true pirates, illuminating the darkness, giving birth to : |
| || possibilities in a time where so little seems achievable. Join: |
| || us and usher in this new age. : |
| ||...............................................................: |
|....................................................................|
- LAYOUT & DESiGN BY #MONk!# oF DiViNE STYLERS! -