Weekly ML drop #10

I’ve become more and more interested in machine learning during last year. This is my way of collecting and sharing interesting reads on the topic I stumble upon. Those posts are published each Friday, they are divided into few categories and the format is constantly evolving.

In this part, I share interesting news from machine learning and artificial intelligence world. Those are mostly not very scientific articles about interesting applications,  predictions and controversies that AI causes.

Neuralink and Brain’s Magical Future
Tim Burton from Wait But Why wrote another lengthy article on one of the Elon Musk’s project. This time it’s about Neuralink, some sort of direct interface to the brain. Tim also tackled other AI-related topics, like Superintelligence, which is also a worthy read.

The Myth of Superhuman AI
Kevin Kelly, on the other hand, thinks that we’ll never get to superintelligence for those five reasons. Kevin was also mentioned in two weeks ago edition. I am currently reading his book and if you’re interested in future, it’s a must-read.

Software Predicts Cognitive Decline Using Brain Images
We talked several times about advancements in medicine, that Machine Learning brings. Image recognition algorithms are getting or surpassing human levels of detecting various threats to our health on diagnostic imagery. This article treats the topic of using a neural network to early detection of Alzheimer’s disease.

The first wave of Corporate AI is doomed to fail
The author of the article compares current wave of AI-advances to first booms of the internet and cloud computing, that failed miserably. Only after backing off and some advances those technologies hit a home run.

Waymo’s Self-driving cars will take first raiders
Alphabet’s self-driving cars company is going to run tests in Phoenix, including people outside’s of Google. People can sign up, and the rides will be for free. The goal is to check how people use and react to self-driving cars.

Learning materials
Here I’m sharing material for learning ML that I found useful – online courses, blogs, books etc. This is usually rather technical stuff.

Videos from ICLR conference has been published
International Conference on Learning Representations which took place in Toulon, France in late April, just published their video on Facebook.

Learning AI if you suck at math
This is a good article for total beginners, who not only do not have much experience in Machine Learning but also feel they’re lacking in math. It links to several good resources to jump up your algebra and calculus.

This is it for today, thanks for reading. If you liked the post, let me know and please check other parts of the series.

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