Here is the pre-reading material is mentioned from organizers:
https://montreal.ai/aidebate.pdf
And you can also submit your questions by following link:
https://montrealartificialintelligence.com/aidebate/?fbclid=IwAR0apri8P3UENmgGhRxeg5k022wh25ynFj7fnJ0OOEd7Kw_vh_6XRfkZA-s
Live streaming:
https://www.eventbrite.ca/e/debate-yoshua-bengio-gary-marcus-live-streaming-tickets-81620778947?fbclid=IwAR2MG35fVKQvxSXQc4DYXn-q9bVEwmfrqfT98m9IuF1gCgEHGRCx0k0ftmc
https://montreal.ai/aidebate.pdf
And you can also submit your questions by following link:
https://montrealartificialintelligence.com/aidebate/?fbclid=IwAR0apri8P3UENmgGhRxeg5k022wh25ynFj7fnJ0OOEd7Kw_vh_6XRfkZA-s
Live streaming:
https://www.eventbrite.ca/e/debate-yoshua-bengio-gary-marcus-live-streaming-tickets-81620778947?fbclid=IwAR2MG35fVKQvxSXQc4DYXn-q9bVEwmfrqfT98m9IuF1gCgEHGRCx0k0ftmc
π1
2019 is also finishing with great achievements in AI field. Thanks to the extended report from 'artificial intelligence index' which I highlighted more specific ones (Of cource is just my choise only):
π AI Research went crazy. Between 1998 and 2018, thereβs been a 300% increase in the publication of peer-reviewed papers on AI.
π Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012.
π Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning
π USA still leads in AI, no matter what other countries say
π AI algorithms are becoming cheaper and mainstream
π self driving vehicles market is coming of age and raking in a lot of investments
π AI Research went crazy. Between 1998 and 2018, thereβs been a 300% increase in the publication of peer-reviewed papers on AI.
π Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012.
π Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning
π USA still leads in AI, no matter what other countries say
π AI algorithms are becoming cheaper and mainstream
π self driving vehicles market is coming of age and raking in a lot of investments
Due to your interest and some specific points, you will read about in more detail from the report:
https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf?fbclid=IwAR228NxD7QCdksNYkSPZ2vcpm5Jzk5zCGx9v0NpsAkQVOspv85MvG3LK3wE
https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf?fbclid=IwAR228NxD7QCdksNYkSPZ2vcpm5Jzk5zCGx9v0NpsAkQVOspv85MvG3LK3wE
π1
Paper pdf:
https://arxiv.org/pdf/2001.05201.pdf
Github:
https://wywu.github.io/projects/EBT/EBT.html
Youtube:
https://youtu.be/tNPuAnvijQk
https://arxiv.org/pdf/2001.05201.pdf
Github:
https://wywu.github.io/projects/EBT/EBT.html
Youtube:
https://youtu.be/tNPuAnvijQk
π1
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Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
Paper:
https://arxiv.org/pdf/2001.05613.pdf
Project page:
https://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Dataset will be available publicly soon
https://arxiv.org/pdf/2001.05613.pdf
Project page:
https://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Dataset will be available publicly soon
π2
More than 200 NLP datasets - this is gold (last update 21.01.202)
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
https://quantumstat.com/dataset/dataset.html
and also Google provided dataset search tool for publicly available datasets:
https://datasetsearch.research.google.com/
End to End Machine Learning: From Data Collection to Deployment.
- Collect and scrape data with Scrapy / Selenium
- Train a deep character CNN for (English) sentiment analysis using PyTorch
- Build an interactive web app with Dash to serve the model in real-time
- Put everything in Docker Compose
- Deploy to AWS on a custom domain name
- Collect and scrape data with Scrapy / Selenium
- Train a deep character CNN for (English) sentiment analysis using PyTorch
- Build an interactive web app with Dash to serve the model in real-time
- Put everything in Docker Compose
- Deploy to AWS on a custom domain name
π1
https://towardsdatascience.com/end-to-end-machine-learning-from-data-collection-to-deployment-ce74f51ca203
If you want to play with the app and see how it looks like:
π»Demo: https://www.reviews.ai2prod.com/
Code:
https://github.com/MarwanDebbiche/post-tuto-deployment
If you want to play with the app and see how it looks like:
π»Demo: https://www.reviews.ai2prod.com/
Code:
https://github.com/MarwanDebbiche/post-tuto-deployment
Medium
End to End Machine Learning Tutorial β From Data Collection to Deployment π
Learn how to build and deploy a machine learning application from scratch. An end-to-end tutorial on data scraping, modeling and deployment
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This video is synthetic and was created using deep learning
β€1