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PALMS 2022

→ Europe/Zurich
Description

The aim of the school is to provide advanced undergraduate and master level students with an overview of exciting recent developments in machine learning, not normally included in the regular curriculum. Accommodation will be provided free of charge for students who are travelling to attend. 


Lectures are given by internationally recognised experts on a variety of topics, ranging from neural networks and Bayesian inference to unsupervised machine learning. Through collaborative problem solving sessions, discussion groups and social events, students will interact with lecturers and organisers.

Conference web page: https://www.scientists4palestine.com/paps2022/ 

  • Sunday, 24 July
    • 10:30
      Registration
    • 1
      School opening
    • 2
      Introduction to Machine Learning
      Speaker: Dr Daniel Worrall (Deep Mind)
      PALMS1.pdf
    • 13:30
      Lunch
    • 3
      Deep learning applied to fundamental science: Lecture 1
      Speaker: Maurizio Pierini (CERN)
      Pierini_Lecture1.pdf
    • 15:45
      Break
    • 4
      Deep learning applied to fundamental science: hands-on
      Speaker: Maurizio Pierini (CERN)
  • Monday, 25 July
    • 5
      Deep learning applied to fundamental science: Lecture 2
      Speaker: Maurizio Pierini (CERN)
      Pierini_Lecture2.pdf
    • 6
      Deep learning applied to fundamental science: Lecture 3
      Speaker: Maurizio Pierini (CERN)
      Pierini_Lecture3.pdf
    • 11:15
      Break
    • 7
      Introduction to Computer vision
      Speaker: Prof. Marwa Mahmoud (Glasgow University)
      Lecture 1.pdf
    • 12:30
      Lunch
    • 8
      Deep Learning Theory I
      Speaker: Dr Daniel Worrall (Deep Mind)
      PALMS1.pdf
    • 14:45
      Break
    • 9
      Deep learning applied to fundamental science: hands-on session
      Speaker: Maurizio Pierini (CERN)
    • 10
      Working in the Palestinian IT sector

      GazaSkygeeks :
      Facebookpage : https://www.facebook.com/GazaSkyGeeks
      Instagram page : https://www.instagram.com/gazaskygeeks/?hl=en
      Website : www.gazaskygeeks.com
      Emails : haneenb@gazaskygeeks.com , rand@gazaskygeeks.com
      Articles and Reports :
      https://www.indeed.com/career-advice/finding-a-job/types-of-it-jobs
      https://www.anera.org/wp-content/uploads/2022/06/OTG-Tech-Ecosystem-Palestine-spreads.pdf
      Self learning platforms :
      https://www.freecodecamp.org/
      https://www.codewars.com/
      https://www.geeksforgeeks.org/
      Freelancing Platforms :
      https://www.upwork.com/
      https://www.peopleperhour.com/
      https://mostaql.com/

  • Tuesday, 26 July
    • 11
      Vision-based AI
      Speaker: Prof. Marwa Mahmoud (Glasgow University)
      Lecture 2.pdf
    • 12
      Supervised Learning, Neural Networks and Applied Computer Vision
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
      day1-01.pdf
    • 11:15
      Break
    • 13
      Deep Learning Theory II
      Speaker: Dr Daniel Worrall (Deep Mind)
      PALMS2.pdf
    • 12:30
      Lunch
    • 14
      From Neural Nets to Deep Nets and Deep Convolutionial Neural Networks, Applied Computer Vision
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
      day1-02.pdf
    • 14:45
      Break
    • 15
      Computing Vision: hands-on session
      Speaker: Prof. Marwa Mahmoud (Glasgow University)
      HandsonExercise.pdf
    • 16
      Applications within Academia
      Speakers: Prof. Deema Totah (University of Iowa), Prof. Thomas Van Riet (KULeuven)
  • Wednesday, 27 July
    • 17
      Computing Vision: hands on
      Speaker: Prof. Marwa Mahmoud (Glasgow University)
    • 18
      Deep Learning Theory III
      Speaker: Dr Daniel Worall (Deep Mind)
    • 11:15
      Break
    • 19
      Vision based AI for social signal processing
      Speaker: Prof. Marwa Mahmoud (Glasgow University)
      Lecture 3.pdf
    • 12:30
      Lunch
    • 20
      Data Challenges and Deep Transfer Learning
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
      Day-02.pdf
    • 14:45
      Break
    • 21
      Hands on: Applied Computer Vision
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
    • 16:00
      Break
    • 22
      Hands-on: Neural Networks for Hand-written digits recognition and symbols classification in engineering diagrams
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
  • Thursday, 28 July
    • 23
      Deep Generative Models
      Speaker: Dr Daniel Worall (Deep Mind)
    • 10:15
      Break
    • 24
      Hands on: Deep Transfer Learning and Medical Image Analysis
      Speaker: Prof. Eyad Elyan (Robert Gordon University)
    • 25
      Certificate handing ceremony
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