ArtificialIntelligenceArticles
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Shtetl-Optimized (entertaining & informative blog by theoretical computer scientist Scott Aaronson). NIPS vs. NeurIPS: guest post by Steven Pinker https://www.scottaaronson.com/blog/?p=4476
Andrew Ng Interview with Father Of Deep Learning , Geoffrey Hinton |Andrew Ng and Geoffrey Hinton https://www.youtube.com/watch?v=089U2maCg0Q&feature=youtu.be&app=desktop
Workshop on Theory of Deep Learning: Where Next? Playlist

If you want to learn more about the current state of the art in the theory of deep learning, then these presentations are a great starting point. They feature talks from luminaries such as Sanjeev Arora, Chris Manning, and Anima Anandkumar, among many others. https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ&utm_campaign=NLP+News&utm_medium=email&utm_source=Revue+newsletter
Deep Learning Pioneers Yann LeCun and Yoshua Bengio Elected as AAAI-20 Fellows
https://techgrabyte.com/deep-learning-yann-lecun-yoshua-bengio-aaai/
The AI technology we're developing is designed to prioritise patients who need to be seen and treated urgently by a doctor or eye care professional. If we can diagnose and treat eye conditions early, it gives us the best chance of saving people's sight. With further research it could lead to greater consistency and quality of care for patients with eye problems in the future."

"Using two types of neural network - mathematical systems for identifying patterns in images or data - the AI system quickly learnt to identify 10 features of eye disease from highly complex optical coherence tomography (OCT) scans. The system was then able to recommend a referral decision based on the most urgent conditions detected

https://www.ucl.ac.uk/news/2018/aug/artificial-intelligence-equal-experts-detecting-eye-diseases?
Starting January 6, we're doing a series of lectures at MIT on deep learning and AI. Skip the first one, but afterwards there are some great talks. All are welcome. Seating limited (first come, first served). Video will be posted a couple days after each lecture. Details: https://
https://deeplearning.mit.edu/
From the existence of the self to the nature of free will, many philosophers have dedicated their lives to the problems of the mind. But now some neuroscientists claim to have settled these raging debates. Is it possible we have discovered a science to replace philosophy and can finally make real progress? https://www.youtube.com/watch?v=x_ypquYcNl4

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After AI Debate Readings
"Recurrent Independent Mechanisms"
Goyal et al., 2019: https://arxiv.org/abs/1909.10893
#AIDebate