T
Terri Coles
Guest
In a lot of ways, machine learning news in 2018 suggests a year of reckoning with the technological advancements of preceding years. The push toward driverless vehicles slowed after a death; ethical concerns about AI were addressed by no less than Microsoft and Google; ML-driven tech became increasingly ubiquitous at home and at work, even as people grew increasingly concerned about data protection.
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