Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Closing (D2L13 Insight@DCU Machine Learning Workshop 2017)

165 views

Published on

https://telecombcn-dl.github.io/dlmm-2017-dcu/

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Closing (D2L13 Insight@DCU Machine Learning Workshop 2017)

  1. 1. DEEP LEARNING WORKSHOP Dublin City University 27-28 April 2017 Closing Day 2 Lecture 13 #InsightDL2017
  2. 2. Learn more 2[course site][course site]
  3. 3. Learn more 3 Deep Learning labs with TensorFlow and Keras by Amaia Salvador & Santi Pascual.
  4. 4. 4 Learn more http://cs231n.stanford.edu/
  5. 5. 5 Learn more http://cs224n.stanford.edu/
  6. 6. 6 ? Learn more
  7. 7. 7 Learn more “Machine learning” sub-Reddit.
  8. 8. 8 Learn more
  9. 9. 9 Opportunities @ Insight ● There are several (9 in fact !) ways in which your company can work with Insight (next slide), across the 4 main sites (DCU, NUIG, UCC, UCD) and others ● We have +70 such companies working with us on projects to date, from MNCs to SMEs, based in Ireland and abroad ● Many / most of these projects involve machine learning in some form
  10. 10. 10
  11. 11. 11 Opportunities @ Insight ● Taught masters courses ○ M.Sc. in Data Analytics ○ M.Eng. in Electronic and Computer Engineering with a Major in Image Processing & Analysis ● where you can work with us on a Practicum (project) while working for your company (many do this) ● There is a new B.Sc. in Data Science in DCU with intake this year ● There are undergraduate FYPs !
  12. 12. 12 UPC + Insight DCU
  13. 13. 13 UPC + Insight DCU Kevin McGuinness Noel O’Connor Cathal Gurrin Alan E. Smeaton
  14. 14. 14 TRECVID 2014 ACM MultiMedia 2014 ACM ICMR 2015 ACM ICMR 2016 (Best poster) CVPR 2016
  15. 15. 15 Opportunities @ UPC
  16. 16. 16 2017: https://telecombcn-dl.github.io/2017-dlcv/ Summer Seminar on Deep Learning for Computer Vision (From 21 to 27 June @ Barcelona) Opportunities @ UPC
  17. 17. Learn more 17 Sant Joan’s Day in Catalonia (our New Year’s Eve in June 22) Summer Seminar on Deep Learning for Computer Vision (21 - 27 June 2017 @ UPC, Barcelona)
  18. 18. 18 Attend to courses at ETSETB TelecomBCN school or research projects in our lab. Opportunities @ UPC New module: “Deep learning for Multimedia” in MET master New BSc program on Data Science
  19. 19. 19 Master in Computer Vision (one and two-year tracks). Opportunities @ UPC
  20. 20. 20 Visit our lab for research (can be coordinated with Insight). Opportunities @ UPC
  21. 21. 21 Opportunities @ UPC ● Segmentation (also medical). ● Lifelogging. ● Unsupervised learning ● Generatiåve models. ● Video analytics. ● Vision & language. ● Vision & audio. ● Visual reasoning. ● Knowledge bases upc.ai
  22. 22. 22 Opportunities @ UPC Click on slides for more details:
  23. 23. 23 Opportunities @ UPC 11 Professors / Associate Professors 9 Phd students 2 Technical support ● Multimedia retrieval ● Vision & Language ● Biomedical applications ● Remote Sensing ● Lifelogging & Wearables ● Affective Computing ● User interfaces ● Depth estimation
  24. 24. 24 Google Photos labeled black people 'gorillas' (USA Today, January 2015) Challenges
  25. 25. 25 The New York Times, “In Race Against Fake News, Google and Facebook Stroll to the Starting Line” (January 2017) Challenges
  26. 26. 26 NYU Center for Data Science: “When text analysis turns into censorship” (January 2017) Challenges
  27. 27. 27 “Microsoft silences its new A.I. bot Tay, after Twitter users teach it racism” (Techcrunch, March2016) Challenges
  28. 28. 28 Challenges “News anchor sets off Alexa devices around San Diego ordering unwanted dollhouses” (CW6 San Diego, January 2017)
  29. 29. Darknet JON He leaned close and onions, barefoot from his shoulder. "I am not a purple girl," he said as he stood over him. "The sight of you sell your father with you a little choice." "I say to swear up his sea or a boy of stone and heart, down," Lord Tywin said. "I love your word or her to me." 29 Challenges
  30. 30. Poetry Ross Goodwin, Neuralsnap (2016). 30 Challenges
  31. 31. 31 “Movie written by algorithm turns out to be hilarious and intense” (Ars Technica, June 2016) Challenges
  32. 32. Challenges 32 Barack Obama, Neural Nets, Self-driving cars, and the Future of the World (Wired, June 2016)
  33. 33. Expects £654 billion to the UK economy by 2035. Researchers predicted that two million jobs retail jobs will disappear by 2030 and 600,000 will go in manufacturing. Announcement of a “Digital Strategy” on March 1: ● £20m investment in robotics and artificial intelligence. ● Additional £17.3m to EPSRC (universities). 33 The Telegraph: “Government to plough £20m into artificial intelligence research including robots and driverless cars” (February 26, 2017) Challenges
  34. 34. “C$170m (US$127m/£102m) in funding from the Canadian and Ontario governments and a group of 30 businesses, including Google and RBC.” 34 Challenges BBC News, “Vector Institute is just the latest in Canada's AI expansion” (March 29, 2017)
  35. 35. 35 Challenges Mark Riedl (Georgia Tech): Supporting the AI Talent Pipeline.
  36. 36. 36 Challenges
  37. 37. 37 Challenges
  38. 38. Artificial intelligence 38 David Autor, Will automation take away all jobs ? (TEDTalks, September 2016)
  39. 39. Jeremy Howard, “The wonderful and terrifying implications of computers that can learn”, TEDTalks 2014. Artificial intelligence 39
  40. 40. Artificial intelligence Stephen Hawking, “The development of full artificial intelligence could spell the end of the human race.” (BBC 2014) 40
  41. 41. 41 ArtificiaI Intelligence & Human Ethics
  42. 42. Neil Lawrence, OpenAI won’t benefit humanity without open data sharing (The Guardian, 14/12/2015) Phd Comics: “Who owns your data ? (Hint: it is not you)” 42 ArtificiaI Intelligence & Human Ethics
  43. 43. 43 The White House: “How to prepare the future for the Future Intelligence” (Jun’16) “Artificial Intelligence, Autonomy, and the Economy” (Dec’16) “These transformations will open up new opportunities for individuals, the economy, and society, but they have the potential to disrupt the current livelihoods of millions of Americans. Whether AI leads to unemployment and increases in inequality over the long-run depends not only on the technology itself but also on the institutions and policies that are in place.” ArtificiaI Intelligence & Human Ethics
  44. 44. 44 ArtificiaI Intelligence & Human Ethics
  45. 45. 45
  46. 46. 46 Thank you, go raimh maith agaibh, gràcies !

×