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.
997d ago | cleantechnica.com
1024d ago | platformer.news
1026d ago | platformer.news
998d ago | gizmodo.com
997d ago | phys.org
997d ago | newsmediaalliance.org
997d ago | gizmodo.com
997d ago | diginomica.com
995d ago | bigthink.com
997d ago | mit.edu
996d ago | phys.org
995d ago | davidrevoy.com
995d ago | gizmodo.com
997d ago | techcrunch.com
996d ago | gizmodo.com
997d ago | manton.org
996d ago | techcrunch.com
997d ago | techcrunch.com
995d ago | techcrunch.com
996d ago | techcrunch.com
996d ago | techcrunch.com
1014d ago | newatlas.com
997d ago | gizmodo.com
996d ago | techcrunch.com
995d ago | theverge.com
994d ago | 3quarksdaily.com
1005d ago | platformer.news
995d ago | gizmodo.com
998d ago | scripting.com
1020d ago | platformer.news
997d ago | techcrunch.com
998d ago | gizmodo.com
1017d ago | platformer.news
997d ago | phys.org
994d ago | wired.com