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.
1069d ago | techcrunch.com
1070d ago | piperhaywood.com
1067d ago | gizmodo.com
1071d ago | livescience.com
1069d ago | techcrunch.com
1068d ago | scientificamerican.com
1069d ago | niemanlab.org
1071d ago | phys.org
1068d ago | 3quarksdaily.com
1098d ago | arstechnica.com
1068d ago | nautil.us
1070d ago | newscientist.com
1068d ago | arstechnica.com
1066d ago | phys.org
There are no new links for this category. My machines are constantly on the lookout for new ones to add here. In the meantime, you may want to check out the ones from yesterday.
1068d ago | techcrunch.com
1068d ago | techcrunch.com
1071d ago | serokell.io
1069d ago | techcrunch.com
1069d ago | techcrunch.com
1069d ago | gizmodo.com
1069d ago | gizmodo.com
1069d ago | techcrunch.com
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1066d ago | youtube.com
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1068d ago | phys.org
1069d ago | techcrunch.com
1066d ago | arxiv.org
1068d ago | gizmodo.com
1068d ago | platformer.news
1069d ago | techcrunch.com
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1070d ago | gizmodo.com
1067d ago | theverge.com
1069d ago | techcrunch.com
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1065d ago | theverge.com
1092d ago | platformer.news
1070d ago | gizmodo.com
1068d ago | gizmodo.com
1069d ago | techcrunch.com