What is the future of AI? Some say it is bright and shiny, others see a dark dystopia. But who is really right or wrong and how can we tell the difference? There is so much noise in the media that the reader easily gets lost. I get lost too, because I apply emotion and personal bias.
To help myself, I decided to let a machine do it for me (how ironic). I trained one of our text classifiers to distinguish betwen three categories (concerned, curious, and excited) and let it get fed with the latest content on AI that appears online. The result is the constantly updated list you will see below. The model is not perfect, but is slowly getting better, as I train it with more and more data.
For feedback and suggestions, feel free to get in touch on Mastodon and Twitter.
699d ago | techcrunch.com
698d ago | theverge.com
709d ago | theverge.com
708d ago | nature.com
707d ago | eff.org
727d ago | platformer.news
703d ago | livescience.com
699d ago | techcrunch.com
708d ago | nature.com
703d ago | disassociated.com
734d ago | platformer.news
726d ago | newatlas.com
708d ago | bigthink.com
709d ago | tante.cc
711d ago | bigthink.com
708d ago | nature.com
700d ago | techcrunch.com
707d ago | gizmodo.com
700d ago | techcrunch.com
699d ago | abc.net.au
698d ago | gizmodo.com
708d ago | ldc.upenn.edu
698d ago | techcrunch.com
698d ago | mindfw.com
699d ago | techcrunch.com
710d ago | newatlas.com
699d ago | livescience.com
709d ago | gizmodo.com
707d ago | jondron.ca
700d ago | theverge.com
707d ago | sciencebusiness.net
699d ago | techcrunch.com
703d ago | sciencebusiness.net
698d ago | grist.org
698d ago | theverge.com
699d ago | newatlas.com
698d ago | bloomberg.com
699d ago | gizmodo.com
699d ago | techcrunch.com
700d ago | techcrunch.com
699d ago | techcrunch.com
699d ago | techcrunch.com
731d ago | newatlas.com
702d ago | nitinkhanna.com