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Cal Biesecker By
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Face Recognition Algorithms Showing Significant Improvement, NIST SaysFace recognition algorithms used in testing in large population sets have demonstrated “massive gains in accuracy” over the past five years, according to a new report by the National Institute of Standards and Technology (NIST). The November 2018 report, Ongoing Face Recognition Vendor Test (FRVT) Part 2: Identification, tested 127 algorithms from 45 developers against a database of 26.6 million live portrait photos of 12.3 million individuals. The testing also involved three smaller datasets…

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The Force Multipliers

Force Multipliers

Force Multipliers – Fred Taylor

Force Multipliers

Force Multipliers – Adam Maruyama

Force Multipliers

Chris Wilson – Qlik

Force Multipliers

Tim Solms – Slingshot Aerospace

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