Session 2: Campus US - Washington DC & New York City

HEC Montréal

Description

Location: Salle Demers Beaulne, HEC Montréal (côte Ste-Catherine)

AM:

• We will also have an exclusive presentation from Pryon’s CEO: Igor Jablokov Bio. Mr Jablokov is Alexa’s dad… or brother.

• I will talk about technology and business models. Présentation about the new business models and how Artifical Intelligence works.

• We will organize the group work.

Presentations

Main presentation

Part I. What is AI

• TensorFlow

Part II. AI and Ethics

Readings:

• https://www.whitehouse.gov/briefing-room/statements-releases/2023/05/04/fact-sheet-biden-harris-administration-announces-new-actions-to-promote-responsible-ai-innovation-that-protects-americans-rights-and-safety/

• https://amp-lepoint-fr.cdn.ampproject.org/c/s/amp.lepoint.fr/2519782

• https://open.spotify.com/episode/7EFMR9MJt6D7IeHBUugtoE?si=mNtTPzz7TEaB3kM1ChV1dw&nd=1&utm_medium=organic&_branch_referrer=H4sIAAAAAAAAA72N3QqCMACFn2ZeKrpQCiQylQqMCOs21jZ1OLexHyKfvhn0CsG5OJyPjzNYq8wmioySlnXvECkVcibGaKu0JA7bXCoqApCsOsf5w2meD4sC4A4ktc%2BCw5%2BN5eQnqpiRhPqWVXVzXTcnm5bZkR6Km%2ButrACsDQOwnM62vcxz1laogGMT74d7TF7fL8T5E%2BHxH38gSQXxNA46iqzTNJe6R4LhD0RfRBUbAQAA&product=open&%24full_url=https%3A%2F%2Fopen.spotify.com%2Fepisode%2F7EFMR9MJt6D7IeHBUugtoE%3Fsi%3DmNtTPzz7TEaB3kM1ChV1dw&feature=organic&_branch_match_id=1186959232836388856

Satya Nadella

• Video: https://news.microsoft.com/build2022/#highlights

Resources

• https://www.lapresse.ca/affaires/techno/2023-05-30/vie-numerique-intelligence-artificielle/l-ia-constitue-un-risque-d-extinction-pour-l-humanite.php?sharing=true
• https://www.salon.com/2023/05/18/why-we-need-a-manhattan-project-for-ai-safety/
• https://www.ledevoir.com/economie/792044/les-experts-mettent-en-garde-contre-l-ia-mais-a-qui-profite-le-scenario-du-pire
• https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023.pdf

References

• Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993
• Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013
• Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65(6), 386-408. – https://ve42.co/Rosenblatt1958
• NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958
• Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958
• Alvinn driving NavLab footage – https://ve42.co/NavLab
• Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, (2)1, 305-313. – https://ve42.co/Pomerleau1989
• ImageNet website – https://ve42.co/ImageNet
• Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge
• AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097-1105. – https://ve42.co/AlexNet
• Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014
• Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog
• Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1-69. – https://ve42.co/Jin2019
• Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018
• Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity
• Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022
• Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530, 144–147. – https://ve42.co/Waldrop2016