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colloquium

  Middlesex Computer Science Colloquium is the monthly departmental computer science colloquium of Middlesex University, London. It is organised by Can Baskent.

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colloquium event

Colloquium: Quantum-like Contextuality and Ambiguity in Natural Language

1 June 2021. Tuesday. 3 PM. London Time. On Zoom. Title Quantum-like Contextuality and Ambiguity in Natural Language Speaker Mehrnoosh Sadrzadeh, Department of Computer Science, University College London Abstract Language is contextual as meanings of words are dependent on their contexts. Contextuality is,  concomitantly, a well-defined concept in quantum mechanics where it is considered a major resource for […]

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colloquium event

Colloquium: Bitcoin Alchemy

4 May 2021. Tuesday. 3 PM. London Time. On Zoom. Title Bitcoin Alchemy Speaker Andrew M. Bailey, Philosophy, Politics, and Economics, Yale-NUS College, Singapore Abstract If there’s one thing ordinary people know about bitcoin the asset, it’s that it has a price, and that the price is up (or down, as the case may be). […]

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colloquium event

Colloquium: Data-Driven Service Computing: Managing Information Services in the era of Big Data and Internet of Things

2 March 2021. Tuesday. 3PM. London time. On Zoom. Title Data-Driven Service Computing: Managing Information Services in the era of Big Data and Internet of Things Speaker Lu Liu, School of Informatics, University of Leicester, UK. Abstract  Given the recent proliferation in the number of smart devices connected to the Internet, the era of Internet of Things […]

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IDC Special Seminar: “Designed Intelligence” by Dr Connor Upton (Accenture)

TITLE: Designed Intelligence SPEAKER: Dr Connor Upton, Group Design Director, Fjord at the Dock, Accenture, Dublin DATE: Tuesday, 19 Jan 2021, 3-4.15pm (London time). LOCATION: Join Zoom Meeting https://zoom.us/j/94355790919?pwd=cWZGT1dlRVRianJET2Uyd1Vlcjg0Zz09 Channel opens at 2:45 PM London Meeting ID: 943 5579 0919 Passcode: kK6eE8 ABSTRACT: We see a lot of research on how to design for and […]

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colloquium event

Colloquium: When Humans and Computers Come Together: A New or Resurged Old Research Paradigm?

2 February 2021. Tuesday. 3PM. London time. On Zoom. Title When Humans and Computers Come Together: A New or Resurged Old Research Paradigm? Speaker Shujin Li, School of Computing, University of Kent, UK. Abstract  In this talk the speaker will talk about his personal observation and thoughts on a range of newly emerged research topics and concepts […]

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colloquium event

Colloquium: “Cell Assembly-based Task Analysis”

5 January 2021. Tuesday. 3PM. London time. On Zoom. Title Cell Assembly-based Task Analysis (CAbTA) Speakers Dan Diaper, DDD Systems & Chris Huyck, Department of Computer Science, Middlesex University, London Abstract  Based on an Artificial Neural Network model, Cell Assembly-based Task Analysis is a new method that outputs a task performance model composed of integrated mind-brain […]

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colloquium event

Colloquium: “A Panel discussion on algorithms and society”

1 December 2020. Tuesday. 3pm. London Time. On Zoom. Title Mapping the Public Debate on Ethical Concerns: Algorithms in Mainstream Media Speaker Balbir S. Barn, Department of Computer Science, Middlesex University, London. Abstract Algorithms are in the mainstream media news on an almost daily basis. Their context is invariably artificial intelligence (AI) and machine learning […]

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colloquium event

Colloquium: “Human-Centred Algorithms”

3 November 2020. Tuesday. 3PM. London Time. On Zoom. Title Human-Centred Algorithms Speaker B.L. William Wong, Professor of Human-Computer Interaction, Middlesex University London, and Professor-in-Residence, Genetec, Inc. Abstract In this talk I will discuss some of the ethical problems that researchers have come to observe about the use of black-box algorithms, how we have interpreted them to make […]

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FroCoS and TABLEAUX coming to Middlesex in September

  This year’s edition of two long-standing international conferences, FroCoS 2019 and TABLEAUX 2019, will take place at Middlesex University on September 2–6. They cover a broad range of theoretical and practical aspects pertaining to formal logic, proof systems, automated deduction and formal verification. Among others, they welcome contributions involving AI, machine learning and fuzzy logic. More information is […]