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.
747d ago | techcrunch.com
745d ago | theverge.com
756d ago | theverge.com
756d ago | nature.com
754d ago | eff.org
775d ago | platformer.news
751d ago | livescience.com
747d ago | techcrunch.com
756d ago | nature.com
751d ago | disassociated.com
782d ago | platformer.news
773d ago | newatlas.com
755d ago | bigthink.com
757d ago | tante.cc
758d ago | bigthink.com
756d ago | nature.com
748d ago | techcrunch.com
755d ago | gizmodo.com
747d ago | techcrunch.com
746d ago | abc.net.au
746d ago | gizmodo.com
756d ago | ldc.upenn.edu
746d ago | techcrunch.com
746d ago | mindfw.com
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757d ago | newatlas.com
747d ago | livescience.com
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755d ago | jondron.ca
747d ago | theverge.com
755d ago | sciencebusiness.net
746d ago | techcrunch.com
751d ago | sciencebusiness.net
746d ago | grist.org
745d ago | theverge.com
747d ago | newatlas.com
746d ago | bloomberg.com
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746d ago | techcrunch.com
747d ago | techcrunch.com
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778d ago | newatlas.com
750d ago | nitinkhanna.com