ثبت نام برای #چالش_جایزه در تجزیه و تحلیل خودکار و طبقه بندی اشیا در تصاویر ماهواره ای opens Functional Map of the World Challenge to merge #AI with #geospatial #data http://bit.ly/2uQDHEW #GEOINT

#Facets: Google #OpenSource #Visualization Tool for #MachineLearning Training #Data http://buff.ly/2uNEZQq

A mathematical model from 103 years ago predicted something that was seen for the first time today: a #black_hole.

#MachineLearning could never do that: it needs observations to model anything. This is a major weak-point of ML. Let's fix it.

A stark contrast between Machine Learning vs other forms of mathematical modeling is that ML models often don't model extreme corner cases very well, because #data in those areas is rare. Gathering data in important areas is as important a skill as building fancy neural networks.

Sadly, too often, using extreme inputs to a model is more useful: e.g. by modeling physics of levers on light objects with short levers, we then built very long levers to lift extremely heavy things. Instead, ML is better suited at modeling everyday phenomena with complex models.

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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Nanni et al.: https://arxiv.org/abs/2004.05222
#Covid19Response #Data #Society #SocialNetworks
@ArtificialIntelligenceArticles