PPT-Human-Machine Reconfigurations

Author : karlyn-bohler | Published Date : 2017-07-01

Plans and Situated Actions Lucy Suchman Professor of Anthropology of Science and Technology at Lancaster University Xerox PARC for 22 years investigating and

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Human-Machine Reconfigurations: Transcript


Plans and Situated Actions Lucy Suchman Professor of Anthropology of Science and Technology at Lancaster University Xerox PARC for 22 years investigating and describing relations between human . Henning Schulzrinne. FCC & Columbia University. with slides from . Harish . Viswanathan. , Alcatel-Lucent . Overview. What is M2M precisely?. What is it good for?. A taxonomy. Technical challenges for M2M. Assembly Line. ” . for . the Information . Age. Human-Computer . Cooperation . for Large-Scale . Product Classification. Jianfu. Chen. Computer . Science Department, . Stony . Brook University. Machines Transform . Us. ?. Us and Them. Us and Them. Us and Them. Photograph courtesy of: . http://philip.greenspun.com/. Philip Greenspun. Us and Them. Us and Them. Are We Special?. Comparing Genomes – Chimp Mapped onto Human. Learning. Charis Thompson. Chancellor’s Professor, UC Berkeley . Professor, . LSE. ABSTRACT and stakes. In this talk I review some of the biggest threats - for example, algorithmic oppression and triage, exacerbation of bubble chambers and inequality, and cybersecurity and autonomous weapons - and some of the biggest opportunities of the current state of machine learning, and consider the major approaches being taken to guiding machine learning for human benefit.  I then describe three initiatives we are pursuing to intervene, implement, and archive better practice. Movies… anyone?. What should I do?. Tell me SOMETHING. Being more formal. Artificial Intelligence is something which gives computers the ability to learn without. b. eing explicitly programmed. Current state of machine intelligence. th. Century. Francis Bacon, 1561 – 1626) . Empiricism: . a . philosophical stance that holds that all knowledge is rooted in the senses and the experience they provide.. “We . do not think that it is any more relevant to the present subject whether the discovery to come were once known to the ancients…than it should matter to men whether the New World is the famous island Atlantis which the ancient world knew… . Prof. Lyle N. Long. Distinguished Professor of . Aerospace . Engineering, Mathematics, and Computational Science . The Pennsylvania State University. Presented at . NASA Langley Workshop on. Machine Learning Technologies and Their Applications to Scientific and Engineering Domains Workshop. Machine ethics. AV. Can a machine “decide” anything?. 2. If a small tree branch pokes out onto a highway and there’s no incoming traffic, we’d simply drift a little into the opposite lane and drive around it. But an automated car might come to a full stop, as it dutifully observes traffic laws that prohibit crossing a double-yellow line. This unexpected move would avoid bumping the object in front, but then cause a crash with the human drivers behind it. Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs Roozbeh Mottaghi 1 , Sanja Fidler 2 , Jian Yao 2 , Raquel Urtasun 2 , Devi Parikh 3 1 UCLA 2 TTI Chicago UNIT 3 – CHAPTER 1 – LESSON 3 Creativity in Algorithms Vocabulary Alert: Algorithm  - A precise sequence of instructions for processes that can be executed by a computer Iterate  - To repeat in order to achieve, or get closer to, a desired goal Machine Translation. Fully automatic. Helping human translators. Enter Source Text:. Translation from Stanford’s . Phrasal. :.  这 不过 是 一 个 时间 的 问题 . .. This is only a matter of time.. Increasingly Autonomous TechnologiesArtificial Intelligenceaprimer for CCW delegatesUNIDIR RESOURCESNo 8AcknowledgementsSupport from UNIDIRs core funders provides the foundation for all of the Institu John Windle MD. Professor of Cardiovascular Medicine. Richard and Mary Holland Distinguished Chair of Cardiovascular Science. Disclosures:. This work is supported, in part, from AHRQ R-01 grant HS22110-01A1. MadBytes is a leading innovator in CNC machine manufacturing, specialising in CNC woodworking machines, auto-nesting CNC machines, and fibre laser cutting machines. With a commitment to excellence and a passion for innovation, MadBytes continues to redefine the standards of CNC machine manufacturing worldwide.

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