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Machine Learning and Machine Intelligence MPhil List

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List of talks and seminars relevant to students enrolled on the MPhil in Machine Learning and Machine Intelligence.

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If you have a question about this list, please contact: John Dudley; . If you have a question about a specific talk, click on that talk to find its organiser.

0 upcoming talks and 8 talks in the archive.

CUED Speech Group Seminars

Vector Quantization in Deep Neural Networks for Speech and Image Processing

UserMohammad Vali, Aalto University, Finland.

HouseOnline only: Zoom: https://cam-ac-uk.zoom.us/j/89623597387?pwd=PalnRtu2be5cw3aGReM6EyvfcMrcly.1.

ClockMonday 11 November 2024, 12:00-13:00

The Wheeler Lectures in Computer Science

Wheeler Lecture 2024: Supercharging the Human Mind With AI

UserProfessor Yvonne Rogers - Professor of Interaction Design, Director of UCL Interaction Centre, Deputy Head of the Computer Science Department UCL.

HouseLecture Theatre 1, Computer Laboratory.

ClockWednesday 23 October 2024, 15:00-17:00

CUED Control Group Seminars

Complex Robotic Systems: Modeling, Control, and Planning using Dual Quaternion Algebra

UserBruno Vilhena Adorno, University of Manchester.

HouseLR3A, Department of Engineering and online (Zoom).

ClockThursday 17 October 2024, 14:00-15:00

MPhil in Machine Learning and Machine Intelligence Research Review

UserJohn Dudley (University of Cambridge), Course Director.

House Cambridge University Engineering Department, Lecture Room 6.

ClockTuesday 18 June 2024, 12:45-16:30

MPhil in Machine Learning and Machine Intelligence Research Review

UserJohn Dudley (University of Cambridge), Course Director.

House Cambridge University Engineering Department, Lecture Theatre 6.

ClockTuesday 18 June 2024, 12:45-16:30

The Philosophy of Explainable AI and Applications in Medicine

UserDr Rune Nyrup, Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence.

House Cambridge University Engineering Department, Lecture Room 4.

ClockMonday 13 February 2023, 14:00-15:00

Promises and Challenges in Trustworthy Machine Learning Deployment, with a Criminal Justice Case Study

UserDr Miri Zilka, Leverhulme Research Fellow in the Machine Learning Group; Research Associate at King’s College; Associate Fellow at the Leverhulme Centre for the Future of Intelligence.

House Cambridge University Engineering Department, Lecture Room 4.

ClockMonday 06 February 2023, 11:00-12:00

Calls to F the Algorithm: Lessons from the 2020 Exam Debacle

UserRoger Taylor, former Chair of Ofqual.

House Cambridge University Engineering Department, Lecture Room 4.

ClockMonday 30 January 2023, 11:00-12:00

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