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.
649d ago | nature.com
671d ago | newatlas.com
644d ago | gizmodo.com
640d ago | arstechnica.com
640d ago | arstechnica.com
641d ago | platformer.news
648d ago | gizmodo.com
645d ago | ldc.upenn.edu
641d ago | techcrunch.com
638d ago | 3quarksdaily.com
640d ago | livescience.com
662d ago | platformer.news
642d ago | techcrunch.com
639d ago | theverge.com
646d ago | gizmodo.com
641d ago | techcrunch.com
643d ago | iamexpat.nl
648d ago | platformer.news
639d ago | theconversation.com
649d ago | ldc.upenn.edu
655d ago | platformer.news
640d ago | livescience.com
641d ago | techcrunch.com
642d ago | macworld.com
639d ago | ieee.org
642d ago | birchtree.me
640d ago | gizmodo.com
675d ago | newatlas.com
657d ago | platformer.news
644d ago | ieee.org
641d ago | techcrunch.com
640d ago | techcrunch.com
641d ago | mozilla.org
642d ago | techcrunch.com
655d ago | platformer.news
648d ago | newatlas.com
644d ago | amazon.com
640d ago | techcrunch.com
642d ago | techcrunch.com