This Week in Machine Learning: AI & Life in Space, Hackers, and Unpredictability of AI

Posted July 14, 2020

Machine learning has a great impact on our world, even on our daily decision. It changes the way we work, think, and make decisions. It helps us achieve more and reach out for things we never thought we could reach. It’s undoubtedly one of the biggest inventions of humankind. But it also changes and evolves.

What has happened in ML over the last week? Here are the best picks. Enjoy the read!

Weekly Roundup: July 7-13

» blog – as always, make sure to visit our blog to find out interesting and in-depth articles on machine learning from the last week. 🙂

» AI Seeks ET: Machine Learning Powers Hunt for Life in the Solar System by Mark Anderson on IEEE Spectrum | July 10

NASA team pioneers AI algorithm to help Mars rover and Titan drone drill for astrobiological evidence. AI may help us in our search for life in space. For all the lovers of space and algorithms. 🛰 👽

» Unpredictability of Artificial Intelligence by Roman Yampolskiy on Hacker Noon

Although this article dates back to July 1st, it’s worth mentioning. In this paper, the author, Professor of Computer Science, AI Safety & Cybersecurity Researcher, discusses the Unpredictability of AI. He proves that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives, even if we know the terminal goals of the system.

» How to Choose a Machine Learning Technique by Yulia Gavrilova on Serokell | July 8

Read this concise guide if you’re looking for the best ML technique for your work. 

» AI 50 Founders Predict What Artificial Intelligence Will Look Like After Covid-19 by Kenrick Cai on Forbes | July 10

The coronavirus has a large impact on the world. Also on the AI. How will it evolve in the post-COVID-19 world? Check it out yourself!

» A new way to train AI systems could keep them safer from hackers on MIT Technology Review | July 10

“One of the greatest unsolved flaws of deep learning is its vulnerability to so-called adversarial attacks. When added to the input of an AI system, these perturbations, seemingly random or undetectable to the human eye, can make things go completely awry.” 👩‍💻 For more, read this short and interesting article. 👨‍💻

» KDnuggets™ News of the week with top stories and tweets of the past week, plus opinions, tutorials, events, webinars, meetings, and jobs.

» Old but gold, the reliable Reddit thread on ML for more news on machine learning. There’s always something for everyone – tips, tricks, hacks, and more news.

That’s all folks! I hope you found something of interest in this weekly roundup. Don’t forget to check our blog for more inspiring articles.

👉 Came across an interesting ML article? Or maybe you wrote one yourself and would like to share it with other people? Let us know, we’ll spread the news in our weekly roundup!