Growing up Scientists Seeking to Reverse Or Stall the Effects of Ageing Are Trying to Make the Leap from Laboratory Research to Human Trials
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Crisis Spurs Vast Change in Jobs Trump,Speaking in the White Faces a Reckoning
P2JW090000-4-A00100-17FFFF5178F ADVERTISEMENT Breaking news:your old 401k could be costing you. Getthe scoop on page R14. **** MONDAY,MARCH 30,2020~VOL. CCLXXV NO.74 WSJ.com HHHH $4.00 Last week: DJIA 21636.78 À 2462.80 12.8% NASDAQ 7502.38 À 9.1% STOXX 600 310.90 À 6.1% 10-YR. TREASURY À 1 26/32 , yield 0.744% OIL $21.51 g $1.12 EURO $1.1139 YEN 107.94 In Central Park, a Field Hospital Is Built for Virus Patients Trump What’s News Extends Distance Business&Finance Rules to edical-supplies makers Mand distributors are raising redflagsabout what April 30 they sayisalack of govern- ment guidanceonwhereto send products, as hospitals As U.S. death toll passes competefor scarce gear amid 2,000, experts call for the coronavirus pandemic. A1 GES staying apart amid Washingtonisrelying on IMA the Fed, to an unprecedented need formoretesting degree in peacetime,topre- GETTY servebusinessbalancesheets SE/ President Trump said he was as Congressreloads the cen- extending the administration’s tral bank’sability to lend. A4 ANCE-PRES social-distancing guidelines Manyactivist investorsare FR through the end of April as the walking away from campaigns U.S. death toll from the new GENCE or settling with firms early as /A coronavirus surgedpast 2,000 some demands seem less over the weekend. pertinent in altered times. B1 ANCUR BET Thestock market’s unri- By Rebecca Ballhaus, valed swingsthis month have KENA Andrew Restuccia OPEN ARMS: The Samaritan’s Purse charity set up an emergency field hospital in Central Park on Sunday near Mount Sinai Hospital, ignited even more interest and Jennifer Calfas which it said would be used to care for coronavirus patients. -
Incorporating Authentic Video Into Language-Learning Mobile Applications
Incorporating Authentic Video into Language-learning Mobile Applications Andrew Watabe A project submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Arts J. Paul Warnick, Chair Rob Alan Martinsen Rob Reynolds Center for Language Studies Brigham Young University Copyright © 2021 Andrew Watabe All Rights Reserved ABSTRACT Incorporating Authentic Video into Language-learning Mobile Applications Andrew Watabe Center for Language Studies, BYU Master of Arts Authentic content in language materials can provide learners with meaningful contexts that enhance language learning (Shrum & Glisan, 2016). This project seeks to create a Japanese- learning iOS app that teaches language directly from authentic Japanese YouTube videos. The app provides a video library where users can find videos on a variety of topics such as food, music, beauty, and games. Each video features video captions, vocabulary exercises, and grammar drills based on the language used in the video. Students enrolled in Japanese classes at Brigham Young University were asked to test out the app and provide feedback on their experience. The participants enjoyed the authentic content and found the written transcripts of the videos to be helpful to their learning. They also requested additional content and features to improve the app. Based on the participants’ comments, we created a plan of action including future updates for the app. Keywords: CALL, authentic texts, Japanese, scaffolding, mobile apps, YouTube -
Boredom and Interest on Facebook, Reddit, and 4Chan by Liam Mitchell
A Phenomenological Study of Social Media: Boredom and Interest on Facebook, Reddit, and 4chan by Liam Mitchell BA, Thompson Rivers University, 2004 MA, York University, 2005 A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY in the Department of Political Science Liam Mitchell, 2012 University of Victoria All rights reserved. This thesis may not be reproduced in whole or in part, by photocopy or other means, without the permission of the author. ii Supervisory Committee A Phenomenological Study of Social Media: Boredom and Interest on Facebook, Reddit, and 4chan by Liam Mitchell BA, Thompson Rivers University, 2004 MA, York University, 2005 Supervisory Committee Dr. Arthur Kroker (Department of Political Science) Supervisor Dr. Bradley Bryan (Department of Political Science) Departmental Member Dr. Peyman Vahabzadeh (Department of Sociology) Outside Member iii Abstract Supervisory Committee Dr. Arthur Kroker (Department of Political Science) Supervisor Dr. Bradley Bryan (Department of Political Science) Departmental Member Dr. Peyman Vahabzadeh (Department of Sociology) Outside Member Optimists used to suggest that the anonymity of the internet allows people to interact without prejudices about race, sex, or age. Although some websites still foster anonymous communication, their popularity pales in comparison with sites like Facebook that foreground identifying characteristics. These social network sites claim to enrich their users’ lives by cultivating connections, but they sometimes -
The Technological Singularity and the Transhumanist Dream
ETHICAL CHALLENGES The technological singularity and the transhumanist dream Miquel Casas Araya Peralta In 1997, an AI beat a human world chess champion for the first time in history (it was IBM’s Deep Blue playing Garry Kasparov). Fourteen years later, in 2011, IBM’s Watson beat two winners of Jeopardy! (Jeopardy is a general knowledge quiz that is very popular in the United States; it demands a good command of the language). In late 2017, DeepMind’s AlphaZero reached superhuman levels of play in three board games (chess, go and shogi) in just 24 hours of self-learning without any human intervention, i.e. it just played itself. Some of the people who have played against it say that the creativity of its moves make it seem more like an alien that a computer program. But despite all that, in 2019 nobody has yet designed anything that can go into a strange kitchen and fry an egg. Are our machines truly intelligent? Successes and failures of weak AI The fact is that today AI can solve ever more complex specific problems with a level of reliability and speed beyond our reach at an unbeatable cost, but it fails spectacularly in the face of any challenge for which it has not been programmed. On the other hand, human beings have become used to trivialising everything that can be solved by an algorithm and have learnt to value some basic human skills that we used to take for granted, like common sense, because they make us unique. Nevertheless, over the last decade, some influential voices have been warning that our skills PÀGINA 1 / 9 may not always be irreplaceable. -
Common Labor, Common Lives: the Social Construction of Work in Four Communal Societies, 1774-1932 Peter Andrew Hoehnle Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 2003 Common labor, common lives: the social construction of work in four communal societies, 1774-1932 Peter Andrew Hoehnle Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the United States History Commons Recommended Citation Hoehnle, Peter Andrew, "Common labor, common lives: the social construction of work in four communal societies, 1774-1932 " (2003). Retrospective Theses and Dissertations. 719. https://lib.dr.iastate.edu/rtd/719 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Common labor, common lives: The social construction of work in four communal societies, 1774-1932 by Peter Andrew Hoehnle A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Agricultural History and Rural Studies Program of Study Committee: Dorothy Schwieder, Major Professor Pamela Riney-Kehrberg Christopher M. Curtis Andrejs Plakans Michael Whiteford Iowa State University Ames, Iowa 2003 © Copyright Peter Andrew Hoehnle, 2003. All rights reserved. UMI Number: 3118233 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. -
Big Data and the Nature of Business Decisions
Big Data and the Nature of Business Decisions April, 2013 Mark Madsen www.ThirdNature.net @markmadsen Our ideas about information and how it’s used are outdated. How We Think of Users The conventional design point is the passive consumer of information. Proof: methodology ▪ IT role is requirements, design, build, deploy, administer ▪ User role is receive data Self‐service is not like picking the right doughnut from a box. How We Think of Users How We Want Users to Think of Us Our design point is the passive consumer of information. Proof: methodology ▪ IT role is requirements, design, build, deploy, administer ▪ User role is run reports Self‐serve BI is not like picking the right doughnut from a box. How We Think of Users What Users Really Think Food supply chain: an analogy for data Multiple contexts of use, differing quality levels What do you I never said the mean, “only “E” in EDW meant doughnuts?” “everything”… It’s going to get a lot bigger E Not E! Everything is digital. It’s no longer just rows and columns, it’s bits. The sensor data revolution Sensor data doesn’t fit well with current methods of collection and storage, or with the technology to process and analyze it. Copyright Third Nature, Inc. Unstructured is really unmodeled. We turn text into data, but we don’t model it by hand. Sentiment, tone, opinion Words & counts, keywords, tags Topics, genres, relationships, Categories, Entities abstracts taxonomies people, places, things, events, IDs Copyright Third Nature, Inc. Three kinds of measurement data we collect The convenient data is transactional data. -
Calico Global V. Calico
Case 2:17-cv-00643-JRG Document 1 Filed 09/12/17 Page 1 of 13 PageID #: 1 UNITED STATES DISTRICT COURT FOR THE EASTERN DISTRICT OF TEXAS MARSHALL DIVISION CALICO GLOBAL PTY LTD., Plaintiff, v. Civil Action No.: 2:17-cv-00643 CALICO LLC. GOOGLE, INC., and JURY TRIAL DEMANDED ALPHABET INC., Defendants. PLAINTIFF’S COMPLAINT FOR TRADEMARK INFRINGEMENT Plaintiff CALICO GLOBAL PTY LTD. (hereinafter referred to as “Plaintiff”) brings this suit for trademark infringement Defendants, CALICO LLC (“Calico”). GOOGLE, INC., (“Google”) and ALPHABET INC. (“Alphabet”) (collectively, “Defendants”), and alleges as follows: NATURE OF ACTION 1. This is an action for trademark infringement based upon Defendants having improperly and willfully used a mark nearly identical to Plaintiff’s trademark CALICO, with trademark Registration No. 3,680,863, without permission, thereby causing customer confusion and unfairly competing with Plaintiff by the improper use of Plaintiff’s Trademark. JURISDICTION AND VENUE 2. This action arises under the trademark laws of the United States. 15 U.S.C. §§ 1051 et seq. This Court has jurisdiction over the subject matter of this action pursuant to 28 U.S.C. §§ 1331 and 1338(a) and (b), as well as 15 U.S.C. §1121. Case 2:17-cv-00643-JRG Document 1 Filed 09/12/17 Page 2 of 13 PageID #: 2 3. Personal jurisdiction exists over the Defendants because they conduct substantial business in Texas, and have ongoing and systematic contacts with this District, and therefore have sufficient contacts such that it would not offend traditional notions of fair play and substantial justice to subject Defendants to suit in this forum. -
Michael Krasny Has Interviewed a Wide Range of Major Political and Cultural Figures Including Edward Albee, Madeleine Albright
Michael Krasny has interviewed a wide range of major political and cultural figures including Edward Albee, Madeleine Albright, Sherman Alexei, Robert Altman, Maya Angelou, Margaret Atwood, Ken Auletta, Paul Auster, Richard Avedon, Joan Baez, Alec Baldwin, Dave Barry, Harry Belafonte, Annette Bening, Wendell Berry, Claire Bloom, Andy Borowitz, T.S. Boyle, Ray Bradbury, Ben Bradlee, Bill Bradley, Stephen Breyer, Tom Brokaw, David Brooks, Patrick Buchanan, William F. Buckley Jr, Jimmy Carter, James Carville, Michael Chabon, Noam Chomsky, Hillary Rodham Clinton, Cesar Chavez, Bill Cosby, Sandra Cisneros, Billy Collins, Pat Conroy, Francis Ford Coppola, Jacques Cousteau, Michael Crichton, Francis Crick, Mario Cuomo, Tony Curtis, Marc Danner, Ted Danson, Don DeLillo, Gerard Depardieu, Junot Diaz, Leonardo DiCaprio, Joan Didion, Maureen Dowd. Jennifer Egan, Daniel Ellsberg, Rahm Emanuel, Nora Ephron, Susan Faludi, Diane Feinstein, Jane Fonda, Barney Frank, Jonathan Franzen, Lady Antonia Fraser, Thomas Friedman, Carlos Fuentes, John Kenneth Galbraith, Andy Garcia, Jerry Garcia, Robert Gates, Newt Gingrich, Allen Ginsberg, Malcolm Gladwell, Danny Glover, Jane Goodall, Stephen Greenblatt, Matt Groening, Sammy Hagar, Woody Harrelson, Robert Hass, Werner Herzog, Christopher Hitchens, Nick Hornby, Khaled Hosseini, Patricia Ireland, Kazuo Ishiguro, Molly Ivins, Jesse Jackson, PD James, Bill T. Jones, James Earl Jones, Ashley Judd, Pauline Kael, John Kerry, Tracy Kidder, Barbara Kingsolver, Alonzo King, Galway Kinnell, Ertha Kitt, Paul Krugman, Ray -
One | What Is Ai?
ONE | WHAT IS AI? Artificial intelligence (AI) is a difficult concept to grasp. As an illustra- tion, only 17 percent of 1,500 U.S. business leaders in 2017 said they were familiar with how AI would affect their companies.1 These executives understood there was considerable potential for revolutionizing business processes but were not clear how AI would be deployed within their own organizations or how it would alter their industries. Hollywood offers little help in improving people’s understanding of advanced technologies. Many movies conflate AI with malevolent robots or hyperintelligent beings such as the Terminator or the evil HAL in Arthur C. Clarke’s 2001: A Space Odyssey. In film depictions, superpow- ered entities inevitably gain humanlike intelligence, go rogue, and inflict tremendous harm on the human population. The ominous message in these cinematic renditions is that AI is dangerous because it will eventu- ally enslave humans.2 One of the difficulties in understanding AI is the lack of a uniform definition. People often intertwine many things in their conceptions and then imagine the worst possible outcomes. They assume advanced technol- ogies will have omniscient capabilities, destructive motivations, and lim- 1 West-Allen_Turning Point_ab_i-xx_1-277.indd 1 6/2/20 10:30 AM 2 TURNING POINT ited human oversight and will be impossible to control. For those reasons, it is important to clarify what we mean by artificial intelligence, provide understandable examples of how it is being used, and outline its major risks. AI ORIGINS Alan Turing generally is credited with conceptualizing the idea of AI in 1950, when he speculated about “thinking machines” that could reason at the level of a human being. -
5G Utility Pole Planner Using Google Street View and Mask R-CNN Yanyu Zhang, Osama Alshaykh
5G Utility Pole Planner Using Google Street View and Mask R-CNN Yanyu Zhang, Osama Alshaykh Abstract—With the advances of fifth-generation (5G)[1] Static Street View and labeled by VGG Image cellular networks technology, many studies and work have been Annotator(VIA)[8]. Then training the dataset base carried out on how to build 5G networks for smart cities. In the previous research, street lighting poles and smart light poles are on Mask R-CNN structure with an efficient capable of being a 5G access point[2]. In order to determine the NVIDIA GeForce RTX 2080 Super GPU. After position of the points, this paper discusses a new way to identify training, we got a train test error rate of 7.86% and poles based on Mask R-CNN[3], which extends Fast R-CNNs[4] by making it employ recursive Bayesian filtering and perform a test error rate of 32.03%. Then we downloaded all proposal propagation and reuse. The dataset contains 3,000 of the street view pictures in Boston from Google high-resolution images from google map. To make training Map and detect whether there are poles in these faster, we used a very efficient GPU implementation of the convolution operation. We achieved a train error rate of 7.86% pictures or not. After that, we marked poles as and a test error rate of 32.03%. At last, we used the immune points on the map, and use immune algorithm to algorithm[5][6] to set 5G poles in the smart cities. decide the best and least number of poles that will Keywords – 5G, Mask R-CNN, immune algorithm, google be built in Boston. -
Kurzweil's Argument for the Success of AI
Artificial Intelligence 170 (2006) 1227–1233 www.elsevier.com/locate/artint Book review Ray Kurzweil, The Singularity Is Near: When Humans Transcend Biology, Viking Adult, ISBN 0670033847, September 2005, 672 pages. Kurzweil’s argument for the success of AI Drew McDermott Yale University, Department of Computer Science, PO Box 208285, New Haven, CT, USA Available online 7 November 2006 “Positive feedback” is one of those phrases that sounds like it ought to mean something good, when it actually means something that is almost always bad: a runaway process whose output forces its inputs further in the direction they are already headed. A chain reaction in an atomic bomb is a classic example, where the production of neutrons is proportional to the number of atoms split, which is in turn proportional to the number of neutrons. Of course, a bomb is one of the few cases where the goal is to produce a runaway process. Even in this case, positive feedback has the property that it quickly destroys the conditions that made the positive feedback possible. This is a hallmark of the breed. Take any other example, such as the multiplication of rabbits, whose output—rabbits—is proportional to the number of rabbits. This simple model assumes that food is abundant; the exponentially increasing rabbit population soon violates that assumption. In Ray Kurzweil’s book, The Singularity is Near, it is argued that the evolution of humanity and technology is driven by a positive feedback, and that the resulting destruction of many of the truths we hold dear will result in a post-human world of wonders. -
Ray Kurzweil Reader Pdf 6-20-03
Acknowledgements The essays in this collection were published on KurzweilAI.net during 2001-2003, and have benefited from the devoted efforts of the KurzweilAI.net editorial team. Our team includes Amara D. Angelica, editor; Nanda Barker-Hook, editorial projects manager; Sarah Black, associate editor; Emily Brown, editorial assistant; and Celia Black-Brooks, graphics design manager and vice president of business development. Also providing technical and administrative support to KurzweilAI.net are Ken Linde, systems manager; Matt Bridges, lead software developer; Aaron Kleiner, chief operating and financial officer; Zoux, sound engineer and music consultant; Toshi Hoo, video engineering and videography consultant; Denise Scutellaro, accounting manager; Joan Walsh, accounting supervisor; Maria Ellis, accounting assistant; and Don Gonson, strategic advisor. —Ray Kurzweil, Editor-in-Chief TABLE OF CONTENTS LIVING FOREVER 1 Is immortality coming in your lifetime? Medical Advances, genetic engineering, cell and tissue engineering, rational drug design and other advances offer tantalizing promises. This section will look at the possibilities. Human Body Version 2.0 3 In the coming decades, a radical upgrading of our body's physical and mental systems, already underway, will use nanobots to augment and ultimately replace our organs. We already know how to prevent most degenerative disease through nutrition and supplementation; this will be a bridge to the emerging biotechnology revolution, which in turn will be a bridge to the nanotechnology revolution. By 2030, reverse-engineering of the human brain will have been completed and nonbiological intelligence will merge with our biological brains. Human Cloning is the Least Interesting Application of Cloning Technology 14 Cloning is an extremely important technology—not for cloning humans but for life extension: therapeutic cloning of one's own organs, creating new tissues to replace defective tissues or organs, or replacing one's organs and tissues with their "young" telomere-extended replacements without surgery.