NVIDIA released a PyTorch library ‘Kaolin’, which in few steps, moves 3D models into neural networks.

Now t-SNE with RAPIDs cuML 2000x speed-up over scikit-learn. But is very slightly accurate (at most ~3% error). Here is also detailed explanation about t-SNE, wich nonlinear dimensionality reduction algorithm.

RoboNet: A Dataset for Large-Scale Multi-Robot Learning (15 million video frames, 7 Robot platform).

RoboNet Project page:
https://www.robonet.wiki/

Free AI Resources
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python Programming Resources. (Last Update: December 4, 2019)

Things you need to consider about your algorithm is working or not

https://medium.com/artificial-intelligence-solutions/so-is-your-algorithm-not-working-aa8e4ebd2066?

BMW shares AI algorithms used in production, available on GitHub

I think, every AI lovers are waiting for AI debate: Yoshua Bengio and Gary Marcus, which a decade that has revived the field of AI

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):
👉 AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of peer-reviewed papers on AI.
👉 Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012.
👉 Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning
👉 USA still leads in AI, no matter what other countries say
👉 AI algorithms are becoming cheaper and mainstream
👉 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

Happy new year.
I would like to share channel's progress for 2019 and we have +29 874 new members for this year. Thank you for all members of channel.

These Projects will make you the Super Hero of Python:

https://medium.com/dataflair/these-projects-will-make-you-the-superhero-of-python-city-14101e62393b

YOLACT (You Only Look At CoefficienTs) - Real-time Instance Segmentation
Results are impressive, above 30 FPS on COCO test-dev