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anaqvi
on 2 December 2019

Digest #2019.12.02 – Machine Learning VS Minecraft


Google pushing TPU with new TensorFlow release – TensorFlow 2.1 is here, welcome to the TPU push; that’s good news for many. We’ll also see improved performance on Linux and Windows and GPU support out-the-box. There are a few changes and issues to be aware of and if you’re using Python 2, TF 2.1 will be the last release you can work with. Check out the summary of changes here.

Machine Learning = Artificial Intelligence? – The article is an interesting read discussing whether machine learning = artificial intelligence. Machine Learning and Artificial Intelligence have a lot of overlap amongst them but they’re not exactly the same. MIT Professor Luis Perez-Breva argues that , “most of what is currently being branded as AI in the market and media is not AI at all, but rather just different versions of ML where the systems are being trained to do a specific, narrow task, using different approaches to ML, of which Deep Learning is currently the most popular.”

Machine Learning Books to Read– For all of us reading fans and bibliophiles interested in Machine Learning, check out this fancy list of machine learning books to read. We’ve personally read most of them and would highly recommend if you’re interested in exploring you ML chops a bit further.

Machine Learning takes on Minecraft – Minecraft vs Machine Learning, fun times! Machine Learning took on the popular game of Minecraft in an intensive gaming competition. The competition allowed coders to devise imitation learning strategies that will help machines win over human players. Imitation learning is the form of machine learning also found in autonomous driving. Check out the full article for an interesting read.

Robots Debating About AI – Check out robots making arguments for and against the dangers of Artificial Intelligence. The demonstration is by Project Debater, an IBM robot designed to hold arguments based on human input. The robots debated using arguments based on 1100 human submissions. The pro-AI side narrowly won the argument by 51.22% audience votes, fascinating!

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