Algorithms and Terrorism: the Malicious Use of Artificial
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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. -
Identificação De Textos Em Imagens CAPTCHA Utilizando Conceitos De
Identificação de Textos em Imagens CAPTCHA utilizando conceitos de Aprendizado de Máquina e Redes Neurais Convolucionais Relatório submetido à Universidade Federal de Santa Catarina como requisito para a aprovação da disciplina: DAS 5511: Projeto de Fim de Curso Murilo Rodegheri Mendes dos Santos Florianópolis, Julho de 2018 Identificação de Textos em Imagens CAPTCHA utilizando conceitos de Aprendizado de Máquina e Redes Neurais Convolucionais Murilo Rodegheri Mendes dos Santos Esta monografia foi julgada no contexto da disciplina DAS 5511: Projeto de Fim de Curso e aprovada na sua forma final pelo Curso de Engenharia de Controle e Automação Prof. Marcelo Ricardo Stemmer Banca Examinadora: André Carvalho Bittencourt Orientador na Empresa Prof. Marcelo Ricardo Stemmer Orientador no Curso Prof. Ricardo José Rabelo Responsável pela disciplina Flávio Gabriel Oliveira Barbosa, Avaliador Guilherme Espindola Winck, Debatedor Ricardo Carvalho Frantz do Amaral, Debatedor Agradecimentos Agradeço à minha mãe Terezinha Rodegheri, ao meu pai Orlisses Mendes dos Santos e ao meu irmão Camilo Rodegheri Mendes dos Santos que sempre estiveram ao meu lado, tanto nos momentos de alegria quanto nos momentos de dificuldades, sempre me deram apoio, conselhos, suporte e nunca duvidaram da minha capacidade de alcançar meus objetivos. Agradeço aos meus colegas Guilherme Cornelli, Leonardo Quaini, Matheus Ambrosi, Matheus Zardo, Roger Perin e Victor Petrassi por me acompanharem em toda a graduação, seja nas disciplinas, nos projetos, nas noites de estudo, nas atividades extracurriculares, nas festas, entre outros desafios enfrentados para chegar até aqui. Agradeço aos meus amigos de infância Cássio Schmidt, Daniel Lock, Gabriel Streit, Gabriel Cervo, Guilherme Trevisan, Lucas Nyland por proporcionarem momentos de alegria mesmo a distância na maior parte da caminhada da graduação. -
The Creation of Neuroscience
The Creation of Neuroscience The Society for Neuroscience and the Quest for Disciplinary Unity 1969-1995 Introduction rom the molecular biology of a single neuron to the breathtakingly complex circuitry of the entire human nervous system, our understanding of the brain and how it works has undergone radical F changes over the past century. These advances have brought us tantalizingly closer to genu- inely mechanistic and scientifically rigorous explanations of how the brain’s roughly 100 billion neurons, interacting through trillions of synaptic connections, function both as single units and as larger ensem- bles. The professional field of neuroscience, in keeping pace with these important scientific develop- ments, has dramatically reshaped the organization of biological sciences across the globe over the last 50 years. Much like physics during its dominant era in the 1950s and 1960s, neuroscience has become the leading scientific discipline with regard to funding, numbers of scientists, and numbers of trainees. Furthermore, neuroscience as fact, explanation, and myth has just as dramatically redrawn our cultural landscape and redefined how Western popular culture understands who we are as individuals. In the 1950s, especially in the United States, Freud and his successors stood at the center of all cultural expla- nations for psychological suffering. In the new millennium, we perceive such suffering as erupting no longer from a repressed unconscious but, instead, from a pathophysiology rooted in and caused by brain abnormalities and dysfunctions. Indeed, the normal as well as the pathological have become thoroughly neurobiological in the last several decades. In the process, entirely new vistas have opened up in fields ranging from neuroeconomics and neurophilosophy to consumer products, as exemplified by an entire line of soft drinks advertised as offering “neuro” benefits. -
Real Vs Fake Faces: Deepfakes and Face Morphing
Graduate Theses, Dissertations, and Problem Reports 2021 Real vs Fake Faces: DeepFakes and Face Morphing Jacob L. Dameron WVU, [email protected] Follow this and additional works at: https://researchrepository.wvu.edu/etd Part of the Signal Processing Commons Recommended Citation Dameron, Jacob L., "Real vs Fake Faces: DeepFakes and Face Morphing" (2021). Graduate Theses, Dissertations, and Problem Reports. 8059. https://researchrepository.wvu.edu/etd/8059 This Thesis is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. Real vs Fake Faces: DeepFakes and Face Morphing Jacob Dameron Thesis submitted to the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering Xin Li, Ph.D., Chair Natalia Schmid, Ph.D. Matthew Valenti, Ph.D. Lane Department of Computer Science and Electrical Engineering Morgantown, West Virginia 2021 Keywords: DeepFakes, Face Morphing, Face Recognition, Facial Action Units, Generative Adversarial Networks, Image Processing, Classification. -
ACM Bytecast Episode Title: Luis Von Ahn
Podcast Title: ACM Bytecast Episode Title: Luis Von Ahn Welcome to the ACM Bytecast podcast, where researchers, practitioners, and innovators share about their experiences, lessons, and future visions in the field of computing research. In this episode, host Rashmi Mohan welcomes Luis Von Ahn—founder of Duolingo, the most popular foreign language learning app. The conversation starts off with a quick look at Luis’s background, what he does, and what drew him into this field as a whole. Luis’s mother began his interest in computers at 8 years old and he’s never looked back since. While he started off his training in the field of computer science, he has now started 3 businesses, one of which is Duolingo. Rashmi taps into the history on Luis’s first two businesses before jumping into Duolingo. Learn about the creation of CAPTCHA and re-CAPTCHA. While one of these is a challenge-response test to help computers determine whether the user on websites was human or not, the other protects website from spam. The cru- cial foundation for Luis’s businesses were simply real world problems that he sought to help fix. Luis integrated these real issues in the industry and worked on them from the academic world. Being used across countless websites today, Luis’s work proved pivotal. Rashmi asks Luis about his perspective on integrating academia and business more—don’t miss out on his thoughts! Rashmi shifts the conversation to learning the details involved in the transition from academia to actually running a business and the learning curve associated with this. -
Synthetic Video Generation
Synthetic Video Generation Why seeing should not always be believing! Alex Adam Image source https://www.pocket-lint.com/apps/news/adobe/140252-30-famous-photoshopped-and-doctored-images-from-across-the-ages Image source https://www.pocket-lint.com/apps/news/adobe/140252-30-famous-photoshopped-and-doctored-images-from-across-the-ages Image source https://www.pocket-lint.com/apps/news/adobe/140252-30-famous-photoshopped-and-doctored-images-from-across-the-ages Image source https://www.pocket-lint.com/apps/news/adobe/140252-30-famous-photoshopped-and-doctored-images-from-across-the-ages Image Tampering Historically, manipulated Off the shelf software (e.g imagery has deceived Photoshop) exists to do people this now Has become standard in Public have become tabloids/social media somewhat numb to it - it’s no longer as impactful/shocking How does machine learning fit in? Advent of machine learning Video manipulation is now has made image also tractable with enough manipulation even easier data and compute Can make good synthetic Public are largely unaware of videos using a gaming this and the danger it poses! computer in a bedroom Part I: Faceswap ● In 2017, reddit (/u/deepfakes) posted Python code that uses machine learning to swap faces in images/video ● ‘Deepfake’ content flooded reddit, YouTube and adult websites ● Reddit since banned this content (but variants of the code are open source https://github.com/deepfakes/faceswap) ● Autoencoder concepts underlie most ‘Deepfake’ methods Faceswap Algorithm Image source https://medium.com/@jonathan_hui/how-deep-learning-fakes-videos-deepfakes-and-how-to-detect-it-c0b50fbf7cb9 Inference Image source https://medium.com/@jonathan_hui/how-deep-learning-fakes-videos-deepfakes-and-how-to-detect-it-c0b50fbf7cb9 ● Faceswap model is an autoencoder. -
Luis Von Ahn - Episode 14 Transcript
ACM ByteCast Luis von Ahn - Episode 14 Transcript Rashmi Mohan: This is ACM ByteCast, a podcast series from the Association for Computing Machinery, the world's largest educational and scientific computing society. We talk to researchers, practitioners, and innovators who are at the intersection of computing research and practice. They share their experiences, the lessons they've learned, and their own visions for the future of computing. I am your host, Rashmi Mohan. Rashmi Mohan: If you want to boost your brain power, improve your memory, or enhance your multitasking skills, then you're often recommended to learn a foreign language. For many of us, that option has become a reality, thanks to our next guest and his creation. Luis von Ahn is a serial entrepreneur and Founder and CEO of Duolingo. An accomplished researcher and consulting professor of Computer Science at Carnegie Mellon University, he straddles both worlds seamlessly. He's a winner of numerous awards, including the prestigious Lemelson-MIT Prize and the MacArthur Fellowship often known as The Genius Grant. Louis, welcome to ACM ByteCast. Luis von Ahn: Thank you. Thank you for having me. Rashmi Mohan: Wonderful. I'd love to lead with a simple question that I ask all of my guests. If you could please introduce yourself and talk about what you currently do, and also give us some insight into what drew you into the field of computer science. Luis von Ahn: Sure. So my name is Luis. I am currently the CEO and co-founder of a company called Duolingo. Duolingo is a language learning platform. -
Torsten Wiesel (1924– ) [1]
Published on The Embryo Project Encyclopedia (https://embryo.asu.edu) Torsten Wiesel (1924– ) [1] By: Lienhard, Dina A. Keywords: vision [2] Torsten Nils Wiesel studied visual information processing and development in the US during the twentieth century. He performed multiple experiments on cats in which he sewed one of their eyes shut and monitored the response of the cat’s visual system after opening the sutured eye. For his work on visual processing, Wiesel received the Nobel Prize in Physiology or Medicine [3] in 1981 along with David Hubel and Roger Sperry. Wiesel determined the critical period during which the visual system of a mammal [4] develops and studied how impairment at that stage of development can cause permanent damage to the neural pathways of the eye, allowing later researchers and surgeons to study the treatment of congenital vision disorders. Wiesel was born on 3 June 1924 in Uppsala, Sweden, to Anna-Lisa Bentzer Wiesel and Fritz Wiesel as their fifth and youngest child. Wiesel’s mother stayed at home and raised their children. His father was the head of and chief psychiatrist at a mental institution, Beckomberga Hospital in Stockholm, Sweden, where the family lived. Wiesel described himself as lazy and playful during his childhood. He went to Whitlockska Samskolan, a coeducational private school in Stockholm, Sweden. At that time, Wiesel was interested in sports and became the president of his high school’s athletic association, which he described as his only achievement from his younger years. In 1941, at the age of seventeen, Wiesel enrolled at Karolinska Institutet (Royal Caroline Institute) in Solna, Sweden, where he pursued a medical degree and later pursued his own research. -
Future of Research on Catastrophic and Existential Risk
ORE Open Research Exeter TITLE Working together to face humanity's greatest threats: Introduction to The Future of Research in Catastrophic and Existential Risk AUTHORS Currie, AM; Ó hÉigeartaigh, S JOURNAL Futures DEPOSITED IN ORE 06 February 2019 This version available at http://hdl.handle.net/10871/35764 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication Working together to face humanity’s greatest threats: Introduction to The Future of Research on Catastrophic and Existential Risk. Adrian Currie & Seán Ó hÉigeartaigh Penultimate Version, forthcoming in Futures Acknowledgements We would like to thank the authors of the papers in the special issue, as well as the referees who provided such constructive and useful feedback. We are grateful to the team at the Centre for the Study of Existential Risk who organized the first Cambridge Conference on Catastrophic Risk where many of the papers collected here were originally presented, and whose multi-disciplinary expertise was invaluable for making this special issue a reality. We’d like to thank Emma Bates, Simon Beard and Haydn Belfield for feedback on drafts. Ted Fuller, Futures’ Editor-in-Chief also provided invaluable guidance throughout. The Conference, and a number of the publications in this issue, were made possible through the support of a grant from the Templeton World Charity Foundation (TWCF); the conference was also supported by a supplementary grant from the Future of Life Institute. -
Vikas Sindhwani Google May 17-19, 2016 2016 Summer School on Signal Processing and Machine Learning for Big Data
Real-time Learning and Inference on Emerging Mobile Systems Vikas Sindhwani Google May 17-19, 2016 2016 Summer School on Signal Processing and Machine Learning for Big Data Abstract: We are motivated by the challenge of enabling real-time "always-on" machine learning applications on emerging mobile platforms such as next-generation smartphones, wearable computers and consumer robotics systems. On-device models in such settings need to be highly compact, and need to support fast, low-power inference on specialized hardware. I will consider the problem of building small-footprint non- linear models based on kernel methods and deep learning techniques, for on-device deployments. Towards this end, I will give an overview of various techniques, and introduce new notions of parsimony rooted in the theory of structured matrices. Such structured matrices can be used to recycle Gaussian random vectors in order to build randomized feature maps in sub-linear time for approximating various kernel functions. In the deep learning context, low-displacement structured parameter matrices admit fast function and gradient evaluation. I will discuss how such compact nonlinear transforms span a rich range of parameter sharing configurations whose statistical modeling capacity can be explicitly tuned along a continuum from structured to unstructured. I will present empirical results on mobile speech recognition problems, and image classification tasks. I will also briefly present some basics of TensorFlow: a open-source library for numerical computations on data flow graphs. Tensorflow enables large-scale distributed training of complex machine learning models, and their rapid deployment on mobile devices. Bio: Vikas Sindhwani is Research Scientist in the Google Brain team in New York City. -
“Counterterrorism Bookshelf” – 23 Books on Terrorism & Counter-Terrorism Related Subjects by Joshua Sinai
PERSPECTIVES ON TERRORISM Volume 8, Issue 1 IV. Book Reviews “Counterterrorism Bookshelf” – 23 Books on Terrorism & Counter-terrorism Related Subjects by Joshua Sinai "is column consists of two parts: capsule reviews of ten books recently published on terrorism and counterterrorism-related topics, and - continuing the series begun in the previous column of highlighting books by signi$cant publishers (listed in alphabetical order) - capsule reviews of 13 important books published by CRC Press. Note: Future columns will review books by publishers such as Hurst, Oxford University Press, Palgrave Macmillan, Polity, Routledge, Rowman & Little#eld, Springer, Stanford University Press, and the University of Chicago Press. General Reviews Gershon Baskin, with Ilene Prusher, !e Negotiator: Freeing Gilad Schalit From Hamas. New Milford, CT: "e Toby Press, 2013. 283 pages, US$24.95 [Hardcover], ISBN: 978-1592643493. "is is a $rst-hand account by an American-Israeli peace activist of his role in arranging for the release of Gilad Schalit, an Israeli soldier who was kidnapped by Hamas in 2006. Schalit was released in October 2011 as part of an exchange deal by the Israeli government and Hamas for 1,027 Palestinian and Israeli Arab prisoners with a nexus to terrorist activity. Acting in his non-governmental capacity, Jerusalem-based Dr. Baskin was extensively involved (with other players) in the secret back channel negotiations between Israel and Hamas, with these dealings and the wider context in which they were conducted revealed in the letters, e-mails, and other documents that were exchanged between the players over the $ve-year period, which are contained in the book, thus making it a valuable primary source for those analyzing Israeli-Hamas relations. -
Terrorist Tactics and Strategies Compiled and Selected by Judith Tinnes
PERSPECTIVES ON TERRORISM Volume 12, Issue 5 Bibliography: Terrorist Tactics and Strategies Compiled and selected by Judith Tinnes [Bibliographic Series of Perspectives on Terrorism - BSPT-JT-2018-6] Abstract This bibliography contains journal articles, book chapters, books, edited volumes, theses, grey literature, bibliographies and other resources on terrorist tactics and strategies (such as the planning of attacks, targeting, decision making, and successful or failed plots). Though focusing on recent literature, the bibliography is not restricted to a particular time period and covers publications up to September 2018. The literature has been retrieved by manually browsing more than 200 core and periphery sources in the field of Terrorism Studies. Additionally, full-text and reference retrieval systems have been employed to broaden the search. Keywords: bibliography; resources; literature; terrorism; tactics, strategies, planning, plots, attacks, targeting, decision making NB: All websites were last visited on 16.09.2018. - See also Note for the Reader at the end of this literature list. Bibliographies and other Resources Al-Khalidi, Ashraf; Renahan, Thomas (Eds.) (2015, May-): Daesh Daily: An Update On ISIS Activities. URL: http://www.daeshdaily.com Atkins, Stephen E. (2011): Annotated Bibliography. In: Stephen E. Atkins (Ed.): The 9/11 Encyclopedia. (Vol. 1). (2nd ed.). Santa Barbara: ABC-CLIO, 481-508. Bergen, Peter et al. (2016-): Terrorism in America after 9/11. (New America In-Depth Report). URL: https:// www.newamerica.org/in-depth/terrorism-in-america Bowie, Neil G. (2017, August): Terrorism Events Data: An Inventory of Databases and Data Sets, 1968-2017. Perspectives on Terrorism, 11(4), 50-72. URL: https://www.universiteitleiden.nl/binaries/content/assets/ customsites/perspectives-on-terrorism/2017/issue-4/0620174-terrorism-events-data-an-inventory-of- databases-and-data-sets-1968-2017-by-neil-g.-bowie.pdf Bowie, Neil G.; Schmid, Alex P.