TED Talks and Dave Eggers's the Circle
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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 -
Ecog Signal Processing for Brain Computer Interface with Multiple Degrees of Freedom for Clinical Application Marie-Caroline Schaeffer
ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application Marie-Caroline Schaeffer To cite this version: Marie-Caroline Schaeffer. ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application. Medical Physics [physics.med-ph]. Université Grenoble Alpes, 2017. English. NNT : 2017GREAS026. tel-01763451 HAL Id: tel-01763451 https://tel.archives-ouvertes.fr/tel-01763451 Submitted on 11 Apr 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour obtenir le grade de DOCTEUR DE LA COMMUNAUTE UNIVERSITE GRENOBLE ALPES Spécialité : MBS – Modèles, méthodes et algorithmes en biologie, santé et environnement Arrêté ministériel : 25 mai 2016 Présentée par Marie-Caroline SCHAEFFER Thèse dirigée par Tetiana AKSENOVA (EDISCE), CEA préparée au sein du Laboratoire CLINATEC dans l'École Doctorale Ingénierie pour la Santé, la Cognition et l’Environnement Traitement du signal ECoG pour Interface Cerveau Machine à grand nombre de degrés de liberté pour application clinique Thèse soutenue publiquement le 6 Juin 2017 , devant le jury composé de : Prof. Alim-Louis BENABID Président Dr. Laurent BOUGRAIN Membre Prof. François CABESTAING Rapporteur Dr. Marco CONGEDO Membre Prof. -
ENG 384 Assignment.Odt
PLANNING AND CONSTRUCTION OF MECHATRONICS ENGINEERING FACILITIES FOR SUSTAINABLE DEVELOPMENT IN NIGERIA; CHALLENGES AND WAY FORWARD BY SAJINYAN, OLANREWAJU OLAKUNLE 18/ENG05/055 SUBMITTED TO MECHANICAL AND MECHATRONICS DEPARTMENT COLLEGE OF ENGINEERING, ABUAD IN PARTIAL FULFILLMENT OF ENG 384: ENGINEERING LAW 2ND MAY, 2021 ABSTRACT With time, technology and engineering keep progressing across the world. In ancient times, it started with only civil engineering which involved the building of structures like houses for shelter or tools to make farming easier. Now there’s a wide range of individual engineering studies one can dive into inside this modern age. Some examples being Electrical engineering, mechanical engineering, computer engineering, even software engineering. Some of these modern age engineering programs can be further divided into other engineering categories Mechatronics engineering included. Other engineering disciplines from these categories include: Bio-Medical engineering, Structural engineering, Aeronautical Engineering. In this paper, planning and construction of Mechatronics engineering structures and facilities for sustainable development in Nigeria; its challenges as well as its way forward will be treated. INTRODUCTION TO MECHATRONICS ENGINEERING Mechatronics, also called mechatronics engineering, is an interdisciplinary branch of engineering that focuses on the engineering of electronic, electrical and mechanical engineering systems, and also includes a combination of robotics, electronics, computer, telecommunications, -
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. -
Human Enhancement Technologies and Our Merger with Machines
Human Enhancement and Technologies Our Merger with Machines Human • Woodrow Barfield and Blodgett-Ford Sayoko Enhancement Technologies and Our Merger with Machines Edited by Woodrow Barfield and Sayoko Blodgett-Ford Printed Edition of the Special Issue Published in Philosophies www.mdpi.com/journal/philosophies Human Enhancement Technologies and Our Merger with Machines Human Enhancement Technologies and Our Merger with Machines Editors Woodrow Barfield Sayoko Blodgett-Ford MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin Editors Woodrow Barfield Sayoko Blodgett-Ford Visiting Professor, University of Turin Boston College Law School Affiliate, Whitaker Institute, NUI, Galway USA Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Philosophies (ISSN 2409-9287) (available at: https://www.mdpi.com/journal/philosophies/special issues/human enhancement technologies). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Volume Number, Page Range. ISBN 978-3-0365-0904-4 (Hbk) ISBN 978-3-0365-0905-1 (PDF) Cover image courtesy of N. M. Ford. © 2021 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. -
Rehabilitation Technologies: Biomechatronics Point of View
1 Rehabilitation Technologies: Biomechatronics Point of View Erhan Akdoğan and M. Hakan Demir Yıldız Technical University Turkey 1. Introduction Rehabilitation aims to bring back the patient’s physical, sensory, and mental capabilities that were lost due to injury, illness, and disease, and to support the patient to compensate for deficits that cannot be treated medically (http://www.ehendrick.org/healthy, June 2010). After the Spinal Cord Injury (SCI), stroke, muscle disorder, and surgical operation such as knee artroplasticy, patients need rehabilitation to recover their movement capability (mobilization) (Bradly et al., 2000; Inal, 2000; Metrailler et al., 2007; Okada et al., 2000; Reinkensmeyer, 2003 and http://www.manchesterneurophysio.co.uk, November 2010). The number of those who need rehabilitation is steadily increasing everyday. Parallel to this, equipment and techniques used in the field of rehabilitation are becoming more advanced and sophisticated. On the other hand, mechatronics, an interdisciplinary science, is a combination of machinery, electric-electronics and computer sciences plays an important role in rehabilitation technologies. In particular mechatronics systems provide important benefits for movements that are related to physical exercises in rehabilitation process. Biomechatronics is a sub-discipline of mechatronics. It is related to develop mechatronics systems which assist or restore to human body. A biomechatronic system has four units: Biosensors, Mechanical Sensors, Controller, and Actuator. Biosensors detect intentions of human using biological reactions coming from nervous or muscle system. The controller acts as a translator between biological and electronic systems, and also monitors the movements of the biomechatronic device. Mechanical sensors measure information about the biomechatronic device and relay to the biosensor or controller. -
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. -
Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: a Systematic Literature Review
sensors Systematic Review Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review Nuraini Jamil 1 , Abdelkader Nasreddine Belkacem 2,* , Sofia Ouhbi 1 and Abderrahmane Lakas 2 1 Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; [email protected] (N.J.); sofi[email protected] (S.O.) 2 Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; [email protected] * Correspondence: [email protected] Abstract: Humans interact with computers through various devices. Such interactions may not require any physical movement, thus aiding people with severe motor disabilities in communicating with external devices. The brain–computer interface (BCI) has turned into a field involving new elements for assistive and rehabilitative technologies. This systematic literature review (SLR) aims to help BCI investigator and investors to decide which devices to select or which studies to support based on the current market examination. This examination of noninvasive EEG devices is based on published BCI studies in different research areas. In this SLR, the research area of noninvasive Citation: Jamil, N.; Belkacem, A.N.; BCIs using electroencephalography (EEG) was analyzed by examining the types of equipment used Ouhbi, S.; Lakas, A. Noninvasive for assistive, adaptive, and rehabilitative BCIs. For this SLR, candidate studies were selected from Electroencephalography Equipment the IEEE digital library, PubMed, Scopus, and ScienceDirect. The inclusion criteria (IC) were limited for Assistive, Adaptive, and to studies focusing on applications and devices of the BCI technology. -
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.