
Chip Huyen: AI that adapts to changing conditions
Until recently, big data processing has been dominated by batch systems like MapReduce and Spark, which allow us to periodically process a large amount of data very efficiently.
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Until recently, big data processing has been dominated by batch systems like MapReduce and Spark, which allow us to periodically process a large amount of data very efficiently.

Until recently, big data processing has been dominated by batch systems like MapReduce and Spark, which allow us to periodically process a large amount of data very efficiently.

The business world continues to shape deep learning’s future. Commerce is pushing AI toward more efficient consumption of data, energy, and labor, according to a report on trends in machine learning from market analyst CB Insights.

The business world continues to shape deep learning’s future. Commerce is pushing AI toward more efficient consumption of data, energy, and labor, according to a report on trends in machine learning from market analyst CB Insights.

One of the largest open datasets for training face recognition systems has its roots in a popular photo-sharing service. Companies that have used this data could find themselves liable for millions in legal recompense.

One of the largest open datasets for training face recognition systems has its roots in a popular photo-sharing service. Companies that have used this data could find themselves liable for millions in legal recompense.
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