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

HEC Montréal

Description

Présentation about the new business models and how Artifical Intelligence works.

We will start our session with an exclusive presentation from Pryon’s CEO: Igor Jablokov Bio. Mr Jablokov is Alexa’s dad… or brother.

Pryon

Pryon: Bringing NLP to companies

• Jablokov I. and Warin T. (2022) “How Augmented Intelligence is Bringing the Focus Back on the Human”, California Management Review Insights, May 23, https://cmr.berkeley.edu/assets/documents/pdf/2022-05-how-augmented-intelligence-is-bringing-the-focus-back-on-the-human.pdf

Presentations

Main presentation

Part I. What is AI

• TensorFlow

Part II. AI and Ethics

Satya Nadella

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

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