Challenge Match Game 2: “Invention”
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Artificial Intelligence in Health Care: the Hope, the Hype, the Promise, the Peril
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, Editors WASHINGTON, DC NAM.EDU PREPUBLICATION COPY - Uncorrected Proofs NATIONAL ACADEMY OF MEDICINE • 500 Fifth Street, NW • WASHINGTON, DC 20001 NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM). Publication by the NAM worthy of public attention, but does not constitute endorsement of conclusions and recommendationssignifies that it is the by productthe NAM. of The a carefully views presented considered in processthis publication and is a contributionare those of individual contributors and do not represent formal consensus positions of the authors’ organizations; the NAM; or the National Academies of Sciences, Engineering, and Medicine. Library of Congress Cataloging-in-Publication Data to Come Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America. Suggested citation: Matheny, M., S. Thadaney Israni, M. Ahmed, and D. Whicher, Editors. 2019. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. NAM Special Publication. Washington, DC: National Academy of Medicine. PREPUBLICATION COPY - Uncorrected Proofs “Knowing is not enough; we must apply. Willing is not enough; we must do.” --GOETHE PREPUBLICATION COPY - Uncorrected Proofs ABOUT THE NATIONAL ACADEMY OF MEDICINE The National Academy of Medicine is one of three Academies constituting the Nation- al Academies of Sciences, Engineering, and Medicine (the National Academies). The Na- tional Academies provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. -
Booxter Export Page 1
Cover Title Authors Edition Volume Genre Format ISBN Keywords The Museum of Found Mirjam, LINSCHOOTEN Exhibition Soft cover 9780968546819 Objects: Toronto (ed.), Sameer, FAROOQ Catalogue (Maharaja and - ) (ed.), Haema, SIVANESAN (Da bao)(Takeout) Anik, GLAUDE (ed.), Meg, Exhibition Soft cover 9780973589689 Chinese, TAYLOR (ed.), Ruth, Catalogue Canadian art, GASKILL (ed.), Jing Yuan, multimedia, 21st HUANG (trans.), Xiao, century, Ontario, OUYANG (trans.), Mark, Markham TIMMINGS Piercing Brightness Shezad, DAWOOD. (ill.), Exhibition Hard 9783863351465 film Gerrie, van NOORD. (ed.), Catalogue cover Malenie, POCOCK (ed.), Abake 52nd International Art Ming-Liang, TSAI (ill.), Exhibition Soft cover film, mixed Exhibition - La Biennale Huang-Chen, TANG (ill.), Catalogue media, print, di Venezia - Atopia Kuo Min, LEE (ill.), Shih performance art Chieh, HUANG (ill.), VIVA (ill.), Hongjohn, LIN (ed.) Passage Osvaldo, YERO (ill.), Exhibition Soft cover 9780978241995 Sculpture, mixed Charo, NEVILLE (ed.), Catalogue media, ceramic, Scott, WATSON (ed.) Installaion China International Arata, ISOZAKI (ill.), Exhibition Soft cover architecture, Practical Exhibition of Jiakun, LIU (ill.), Jiang, XU Catalogue design, China Architecture (ill.), Xiaoshan, LI (ill.), Steven, HOLL (ill.), Kai, ZHOU (ill.), Mathias, KLOTZ (ill.), Qingyun, MA (ill.), Hrvoje, NJIRIC (ill.), Kazuyo, SEJIMA (ill.), Ryue, NISHIZAWA (ill.), David, ADJAYE (ill.), Ettore, SOTTSASS (ill.), Lei, ZHANG (ill.), Luis M. MANSILLA (ill.), Sean, GODSELL (ill.), Gabor, BACHMAN (ill.), Yung -
AI Computer Wraps up 4-1 Victory Against Human Champion Nature Reports from Alphago's Victory in Seoul
The Go Files: AI computer wraps up 4-1 victory against human champion Nature reports from AlphaGo's victory in Seoul. Tanguy Chouard 15 March 2016 SEOUL, SOUTH KOREA Google DeepMind Lee Sedol, who has lost 4-1 to AlphaGo. Tanguy Chouard, an editor with Nature, saw Google-DeepMind’s AI system AlphaGo defeat a human professional for the first time last year at the ancient board game Go. This week, he is watching top professional Lee Sedol take on AlphaGo, in Seoul, for a $1 million prize. It’s all over at the Four Seasons Hotel in Seoul, where this morning AlphaGo wrapped up a 4-1 victory over Lee Sedol — incidentally, earning itself and its creators an honorary '9-dan professional' degree from the Korean Baduk Association. After winning the first three games, Google-DeepMind's computer looked impregnable. But the last two games may have revealed some weaknesses in its makeup. Game four totally changed the Go world’s view on AlphaGo’s dominance because it made it clear that the computer can 'bug' — or at least play very poor moves when on the losing side. It was obvious that Lee felt under much less pressure than in game three. And he adopted a different style, one based on taking large amounts of territory early on rather than immediately going for ‘street fighting’ such as making threats to capture stones. This style – called ‘amashi’ – seems to have paid off, because on move 78, Lee produced a play that somehow slipped under AlphaGo’s radar. David Silver, a scientist at DeepMind who's been leading the development of AlphaGo, said the program estimated its probability as 1 in 10,000. -
Wipo-Wto Colloquium Papers Research Papers from the Wipo-Wto Colloquium for Teachers of Intellectual Property Law 20182018 Apers
8 201 WIPO-WTO COLLOQUIUM PAPERS RESEARCH PAPERS FROM THE WIPO-WTO COLLOQUIUM FOR TEACHERS OF INTELLECTUAL PROPERTY LAW 20182018 APERS P World Trade Organization (WTO) World Intellectual Property Organization (WIPO) Rue de Lausanne 154 34, chemin des Colombettes CH-1211 Geneva 21 P.O. Box 18 Switzerland CH-1211 Geneva 20 OLLOQUIUM Switzerland C Telephone: TO +4122 739 51 14 W Fax: Telephone: +4122 739 57 90 +4122 338 91 11 Email: Fax: WIPO- [email protected] +4122 733 54 28 www.wto.org www.wipo.int WIPO-WTO COLLOQUIUM PAPERS RESEARCH PAPERS FROM THE 2018 WIPO-WTO COLLOQUIUM FOR TEACHERS OF INTELLECTUAL PROPERTY LAW Compiled by the WIPO Academy and the WTO Intellectual Property, Government Procurement and Competition Division DISCLAIMER The views and opinions expressed in this compilation are those of the individual authors of each article. They do not necessarily reflect the positions of the organizations cooperating on this publication. In particular, no views or legal analysis included in these papers should be attributed to WIPO or the WTO, or to their respective Secretariats. http://www.wto.org/index.htm© 2019 Copyright in this compilation is jointly owned by the World Intellectual Property Organization (WIPO) and the World Trade Organization (WTO). The contributing authors retain copyright in their individual works. ISBN 978-92-870-4418-1 i EDITORS Irene Calboli, Lee Chedister, Megan Pharis, Victoria Gonzales, Harrison Davis, John Yoon, and Carolina Tobar Zarate, Ali Akbar Modabber and Nishant Anurag (Copy Editor) EDITORIAL BOARD Mr Frederick -
The AGA Song Book up to Date
3rd Edition Songs, Poems, Stories and More! Edited by Bob Felice Published by The American Go Association P.O. Box 397, Old Chelsea Station New York, N.Y., 10113-0397 Copyright 1998, 2002, 2006 in the U.S.A. by the American Go Association, except where noted. Cover illustration by Jim Rodgers. No part of this book may be used or reproduced in any form or by any means, or stored in a database or retrieval system, without prior written permission of the copyright holder, except for brief quotations used as part of a critical review. Introductions Introduction to the 1st Edition When I attended my first Go Congress three years ago I was astounded by the sheer number of silly Go songs everyone knew. At the next Congress, I wondered if all these musical treasures had ever been printed. Some research revealed that the late Bob High had put together three collections of Go songs, but the last of these appeared in 1990. Very few people had these song books, and some, like me, weren’t even aware that they existed. While new songs had been printed in the American Go Journal, there was clearly a need for a new collection of Go songs. Last year I decided to do whatever I could to bring the AGA Song Book up to date. I wanted to collect as many of the old songs as I could find, as well as the new songs that had been written since Bob High’s last song book. You are holding in your hands the book I was looking for two years ago. -
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit Presented by Josh Fried Background: Machine Learning Neural Networks: ● Multi Layer Perceptrons ● Recurrent Neural Networks (mostly LSTMs) ● Convolutional Neural Networks Synapse - each edge, has a weight Neuron - each node, sums weights and uses non-linear activation function over sum Propagating inputs through a layer of the NN is a matrix multiplication followed by an activation Background: Machine Learning Two phases: ● Training (offline) ○ relaxed deadlines ○ large batches to amortize costs of loading weights from DRAM ○ well suited to GPUs ○ Usually uses floating points ● Inference (online) ○ strict deadlines: 7-10ms at Google for some workloads ■ limited possibility for batching because of deadlines ○ Facebook uses CPUs for inference (last class) ○ Can use lower precision integers (faster/smaller/more efficient) ML Workloads @ Google 90% of ML workload time at Google spent on MLPs and LSTMs, despite broader focus on CNNs RankBrain (search) Inception (image classification), Google Translate AlphaGo (and others) Background: Hardware Trends End of Moore’s Law & Dennard Scaling ● Moore - transistor density is doubling every two years ● Dennard - power stays proportional to chip area as transistors shrink Machine Learning causing a huge growth in demand for compute ● 2006: Excess CPU capacity in datacenters is enough ● 2013: Projected 3 minutes per-day per-user of speech recognition ○ will require doubling datacenter compute capacity! Google’s Answer: Custom ASIC Goal: Build a chip that improves cost-performance for NN inference What are the main costs? Capital Costs Operational Costs (power bill!) TPU (V1) Design Goals Short design-deployment cycle: ~15 months! Plugs in to PCIe slot on existing servers Accelerates matrix multiplication operations Uses 8-bit integer operations instead of floating point How does the TPU work? CISC instructions, issued by host. -
The Burden of Choice, the Complexity of the World and Its Reduction: the Game of Go/Weiqi As a Practice of "Empirical Metaphysics"
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/330509941 The Burden of Choice, the Complexity of the World and Its Reduction: The Game of Go/Weiqi as a Practice of "Empirical Metaphysics" Article in Avant · January 2019 DOI: 10.26913/avant.2018.03.05 CITATIONS READS 0 76 1 author: Andrzej Wojciech Nowak Adam Mickiewicz University 27 PUBLICATIONS 18 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Metrological Sovereignity, Suwerenność metrologiczna View project Ontological Politics View project All content following this page was uploaded by Andrzej Wojciech Nowak on 20 January 2019. The user has requested enhancement of the downloaded file. AVANT, Vol. IX, No. 3/2018 ISSN: 2082-6710 avant.edu.pl/en DOI: 10.26913/avant.2018.03.05 The Burden of Choice, the Complexity of the World and Its Reduction: The Game of Go/Weiqi as a Practice of “Empirical Metaphysics” Andrzej W. Nowak Institute of Philosophy Adam Mickiewicz Univesity in Poznań, Poland andrzej.w.nowak @ gmail.com Received 27 October 2018, accepted 28 November 2018, published in the winter 2018/2019. Abstract The main aim of the text is to show how a game of Go (Weiqi, baduk, Igo) can serve as a model representation of the ontological-metaphysical aspect of the actor–network theory (ANT). An additional objective is to demonstrate in return that this ontological-meta- physical aspect of ANT represented on Go/Weiqi game model is able to highlight the key aspect of this theory—onto-methodological praxis. -
Sydney Go Journal Issue Date – February 2007
Author – David Mitchell on behalf of The Sydney Go Club Sydney Go Journal Issue Date – February 2007 Dr. Geoffrey Gray’s antique Go Ban (picture courtesy of Dr Gray) Up coming events Queensland Go Championship Saturday 17th and Sunday 18th February in Brisbane. Venue: Brisbane Bridge Centre Registration and other details on page 33 For the latest details visit www.uq.net.au/~zzjhardy/brisgo.html Contributions, comments and suggestions for the SGJ to: [email protected] Special thanks to Devon Bailey and Geoffrey Gray for proof reading this edition and correcting my mistakes. © Copyright 2007 – David Mitchell Page 1 February 2007 Author – David Mitchell on behalf of The Sydney Go Club Sydney Lightning Tournament report 3 Changqi Cup 4 3rd Changqi Cup – 1st Qualifier 6 3rd Changqi Cup – 2nd Qualifier 10 Problems 14 Handicap Strategy 15 Four Corners 29 Two page Joseki lesson 35 Answers 37 Korean Go Terms 39 The Sydney Go Club Meets Friday nights at :- At Philas House 17 Brisbane St Surry Hills From 5.00pm Entrance fee - $5 per head; Concession $3; Children free - includes tea and coffee. For further information from Robert [email protected] © Copyright 2007 – David Mitchell Page 2 February 2007 Lightning Tournament The lightning tournament was held on the January 12th and a good time was had by all, thanks to Robert Vadas organising skills. The final was between Max Latey and David Mitchell, the latter managing another lucky win. The following pictures tell the story David Mitchell (foreground); Max more eloquently than words. Latey (background); the two finalists Robert giving some sage advice. -
Chinese Health App Arrives Access to a Large Population Used to Sharing Data Could Give Icarbonx an Edge Over Rivals
NEWS IN FOCUS ASTROPHYSICS Legendary CHEMISTRY Deceptive spice POLITICS Scientists spy ECOLOGY New Zealand Arecibo telescope faces molecule offers cautionary chance to green UK plans to kill off all uncertain future p.143 tale p.144 after Brexit p.145 invasive predators p.148 ICARBONX Jun Wang, founder of digital biotechnology firm iCarbonX, showcases the Meum app that will use reams of health data to provide customized medical advice. BIOTECHNOLOGY Chinese health app arrives Access to a large population used to sharing data could give iCarbonX an edge over rivals. BY DAVID CYRANOSKI, SHENZHEN medical advice directly to consumers through another $400 million had been invested in the an app. alliance members, but he declined to name the ne of China’s most intriguing biotech- The announcement was a long-anticipated source. Wang also demonstrated the smart- nology companies has fleshed out an debut for iCarbonX, which Wang founded phone app, called Meum after the Latin for earlier quixotic promise to use artificial in October 2015 shortly after he left his lead- ‘my’, that customers would use to enter data Ointelligence (AI) to revolutionize health care. ership position at China’s genomics pow- and receive advice. The Shenzhen firm iCarbonX has formed erhouse, BGI, also in Shenzhen. The firm As well as Google, IBM and various smaller an ambitious alliance with seven technology has now raised more than US$600 million in companies, such as Arivale of Seattle, Wash- companies from around the world that special- investment — this contrasts with the tens of ington, are working on similar technology. But ize in gathering different types of health-care millions that most of its rivals are thought Wang says that the iCarbonX alliance will be data, said the company’s founder, Jun Wang, to have invested (although several big play- able to collect data more cheaply and quickly. -
Mandarin Chinese 2
® Mandarin Chinese 2 Reading Booklet & Culture Notes Mandarin Chinese 2 Travelers should always check with their nation’s State Department for current advisories on local conditions before traveling abroad. Booklet Design: Maia Kennedy © and ‰ Recorded Program 2002 Simon & Schuster, Inc. © Reading Booklet 2016 Simon & Schuster, Inc. Pimsleur® is an imprint of Simon & Schuster Audio, a division of Simon & Schuster, Inc. Mfg. in USA. All rights reserved. ii Mandarin Chinese 2 ACKNOWLEDGMENTS VOICES Audio Program English-Speaking Instructor. Ray Brown Mandarin-Speaking Instructor . Qing Rao Female Mandarin Speaker . Mei Ling Diep Male Mandarin Speaker . Yaohua Shi Reading Lessons Female Mandarin Speaker . Xinxing Yang Male Mandarin Speaker . Jay Jiang AUDIO PROGRAM COURSE WRITERS Yaohua Shi Christopher J. Gainty READING LESSON WRITERS Xinxing Yang Elizabeth Horber REVIEWER Zhijie Jia EDITORS Joan Schoellner Beverly D. Heinle PRODUCER & DIRECTOR Sarah H. McInnis RECORDING ENGINEERS Peter S. Turpin Kelly Saux Simon & Schuster Studios, Concord, MA iiiiii Mandarin Chinese 2 Table of Contents Introduction Mandarin .............................................................. 1 Pictographs ........................................................ 2 Traditional and Simplified Script ....................... 3 Pinyin Transliteration ......................................... 3 Readings ............................................................ 4 Tonality ............................................................... 5 Tone Change or Tone Sandhi -
Understanding & Generalizing Alphago Zero
Under review as a conference paper at ICLR 2019 UNDERSTANDING &GENERALIZING ALPHAGO ZERO Anonymous authors Paper under double-blind review ABSTRACT AlphaGo Zero (AGZ) (Silver et al., 2017b) introduced a new tabula rasa rein- forcement learning algorithm that has achieved superhuman performance in the games of Go, Chess, and Shogi with no prior knowledge other than the rules of the game. This success naturally begs the question whether it is possible to develop similar high-performance reinforcement learning algorithms for generic sequential decision-making problems (beyond two-player games), using only the constraints of the environment as the “rules.” To address this challenge, we start by taking steps towards developing a formal understanding of AGZ. AGZ includes two key innovations: (1) it learns a policy (represented as a neural network) using super- vised learning with cross-entropy loss from samples generated via Monte-Carlo Tree Search (MCTS); (2) it uses self-play to learn without training data. We argue that the self-play in AGZ corresponds to learning a Nash equilibrium for the two-player game; and the supervised learning with MCTS is attempting to learn the policy corresponding to the Nash equilibrium, by establishing a novel bound on the difference between the expected return achieved by two policies in terms of the expected KL divergence (cross-entropy) of their induced distributions. To extend AGZ to generic sequential decision-making problems, we introduce a robust MDP framework, in which the agent and nature effectively play a zero-sum game: the agent aims to take actions to maximize reward while nature seeks state transitions, subject to the constraints of that environment, that minimize the agent’s reward. -
Computer Go: from the Beginnings to Alphago Martin Müller, University of Alberta
Computer Go: from the Beginnings to AlphaGo Martin Müller, University of Alberta 2017 Outline of the Talk ✤ Game of Go ✤ Short history - Computer Go from the beginnings to AlphaGo ✤ The science behind AlphaGo ✤ The legacy of AlphaGo The Game of Go Go ✤ Classic two-player board game ✤ Invented in China thousands of years ago ✤ Simple rules, complex strategy ✤ Played by millions ✤ Hundreds of top experts - professional players ✤ Until 2016, computers weaker than humans Go Rules ✤ Start with empty board ✤ Place stone of your own color ✤ Goal: surround empty points or opponent - capture ✤ Win: control more than half the board Final score, 9x9 board ✤ Komi: first player advantage Measuring Go Strength ✤ People in Europe and America use the traditional Japanese ranking system ✤ Kyu (student) and Dan (master) levels ✤ Separate Dan ranks for professional players ✤ Kyu grades go down from 30 (absolute beginner) to 1 (best) ✤ Dan grades go up from 1 (weakest) to about 6 ✤ There is also a numerical (Elo) system, e.g. 2500 = 5 Dan Short History of Computer Go Computer Go History - Beginnings ✤ 1960’s: initial ideas, designs on paper ✤ 1970’s: first serious program - Reitman & Wilcox ✤ Interviews with strong human players ✤ Try to build a model of human decision-making ✤ Level: “advanced beginner”, 15-20 kyu ✤ One game costs thousands of dollars in computer time 1980-89 The Arrival of PC ✤ From 1980: PC (personal computers) arrive ✤ Many people get cheap access to computers ✤ Many start writing Go programs ✤ First competitions, Computer Olympiad, Ing Cup ✤ Level 10-15 kyu 1990-2005: Slow Progress ✤ Slow progress, commercial successes ✤ 1990 Ing Cup in Beijing ✤ 1993 Ing Cup in Chengdu ✤ Top programs Handtalk (Prof.