The Open Guide to Glasgow

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====== Artificial Intelligence and Machine Learning =======
  * See also [[Tech]]
===== Clubs/Groups =====
  * [[https://www.meetup.com/Glasgow-Artificial-Intelligence-Deep-Learning/|Glasgow Artificial Intelligence & Deep Learning]] - //We’re excited to bring you the latest happenings in AI, Machine Learning, Deep Learning, Data Science and Big Data.//
  * [[https://www.meetup.com/ml-club/|ML Club]] - //A community of people who are really into machine learning... and artificial intelligence, and data science, and most technologies!//

===== Research Groups =====
  * [[https://www.glasgowunisrc.org/organisation/events/|Artificial Intelligence Society (GUAI)]] - //Artificial Intelligence Society in University of Glasgow is a fantastic community which explores diverse smart advanced technologies of world, especially in connecting different industries. //
  * [[https://socialcdt.org/|SOCIAL AI Centre for Doctoral Training]] - //The overarching goal of SOCIAL AI  is to train the next generation of experts in Artificial Social Intelligence; the AI domain aimed at endowing artificial agents with social intelligence, the ability to deal appropriately with users’ attitudes intentions, feelings, personality and expectations.//
  * [[https://icaird.com/|iCAIRD: The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics]] - //A pan-Scotland collaboration of 15 founding partners from across industry, the NHS, and academia; including four current actively engaged SMEs.//
  * [[https://kyuanlab.org/|Kyuan Lab]] - //The K. Yuan Lab at the School of Computing Science, University of Glasgow works at the interface between machine learning and computational biology. We develop novel machine learning and statistical methods to genomic and image data to answer questions in cancer and virus evolution.//

===== Individuals =====
  * [[http://www.pmh47.net/|Paul Henderson]] - //I am a Lecturer (roughly equivalent to Assistant Professor) in Machine Learning at the University of Glasgow. My research focuses on building machines that understand the visual world with minimal supervision, learning aspects of its structure such as 3D geometry and decomposition into objects. This work lies at the intersection of machine learning, computer vision, and computer graphics. I also work on applications of machine learning and computer vision in the physical and life sciences. //
The Open Guide to Glasgow

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