Mar
06
Aipril
The Met, Microsoft, and Massachusetts Institute of Technology (MIT) collaborated to explore how artificial intelligence could connect people to art. Utilizing the API images, data, and a new keyword data set, the goal was to imagine and develop scalable new ways to discover, learn, and create with one of the world's foremost art collections through artificial intelligence.
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Mar
04
Aipril
A grand challenge in reinforcement learning is producing intelligent exploration, especially when rewards are sparse or deceptive. Go-Explore is a new algorithm for such ‘hard exploration problems.’
see the video of Jeff Clune, Senior Research Scientist & Founding Member at Uber AI Labs
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Jan
14
Aipril
In this article i will discuss "the art of AI research" it was inspired by the great paper by Keneth O. Stanley
Paper (Published in: Leonardo Volume 51, Issue 2, p. 165-172, April 2018, MIT Press) : Art in the Sciences of the Artificial.
In this article i will first cover the very interesting ideas that are put forward by Keneth O. Stanley on this subject and in the second part of the paper i will add my own thoughts on the subject :). (But i cannot emphasize enough that my take on this was only possible because of the great ideas in the paper of Keneth O. Stanley)
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Jan
04
Aipri
Tasks in current real-world business applications cannot yet be solved by machines alone. Humans and machines working together possess the ability to accomplish complex
goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other.
Recent research provides a perspective on this subject.
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