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A New Supercomputer for Scaling Up Machine Learning and Artificial Intelligence at Waipapa Taumata Rau / The University of Auckland

A New Supercomputer for Scaling Up Machine Learning and Artificial Intelligence at Waipapa Taumata Rau / The University of Auckland

The School of Computer Science at Waipapa Taumata Rau / The University of Auckland (UoA), has invested in and installed a new GPU supercomputer, aiming at building capability of large-scale machine learning and artificial intelligence research and teaching.  The...

Machine Learning Seminar by Prof. Christian S. Jensen – New Vehicle Routing Paradigms Enabled by Big Vehicle Trajectory Data

Machine Learning Seminar by Prof. Christian S. Jensen – New Vehicle Routing Paradigms Enabled by Big Vehicle Trajectory Data

  Short Bio Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns primarily analytics, including machine learning, data mining, and query processing, and data management,...

Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models

Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models

  Short Bio Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise and as a Research Scientist at Stanford University's Center for Design Research. He has contributed to AI and cognitive...

AI Reading Group on Nov 25 2021: The neural architecture of language: Integrative modeling converges on predictive processing

AI Reading Group on Nov 25 2021: The neural architecture of language: Integrative modeling converges on predictive processing

Where and when: Thursday, Nov 25 at 2-3pm in Google Meet (see the calendar invite for the link). Abstract The neuroscience of perception has recently been revolutionized with an integrative modeling approach in which computation, brain function, and behavior are...

ML Student Seminar on Nov 18 2021: Beyond Recall: Teaching High Quality Language Models to Generalise to Unseen Compositional Questions

ML Student Seminar on Nov 18 2021: Beyond Recall: Teaching High Quality Language Models to Generalise to Unseen Compositional Questions

Where and when: Thursday, Nov 18 at 2-3pm in Google Meets (see the calendar invitation for the link) Speaker: Tim Hartill, supervised by Michael Witbrock and Pat Riddle Abstract: Sequence-to-sequence Transformer-based Language Models pretrained on large text...

ML Student Seminar on Oct 21 2021: Understanding the mechanisms of multiple epidemic waves of COVID-19

ML Student Seminar on Oct 21 2021: Understanding the mechanisms of multiple epidemic waves of COVID-19

Where and when: Thursday, Oct 21 at 2-3pm in Google Meets (see the calendar invitation for the link) Speaker: Johnny Zhu, supervised by Joerg Wicker and Gill Dobbie Abstract: Covid-19 has been raging around the world for more than 20 months. The epidemic has...

Machine Learning Seminar by Mengjie Zhang – Evolutionary Machine Learning: Research, Applications and Challenges

Machine Learning Seminar by Mengjie Zhang – Evolutionary Machine Learning: Research, Applications and Challenges

  Short Bio Mengjie Zhang is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, an IEEE Distinguished Lecturer, currently Professor of Computer Science at Victoria University of Wellington, where he heads the...

AI Reading Group on Sep 2 2021: Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

AI Reading Group on Sep 2 2021: Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Where and when: Thursday, Sep 2 at 2-3pm in 303S-561 Abstract Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed...