Delving into the transformative world of Computer Vision for 2024, this article highlights pivotal trends, including generative AI.

Computer scientists first began deep explorations of computer vision in the 1960s. As the name implies, the goal was to help computers “see” and gain understanding that rivaled human observations.

Their map of computer-vision research reveals an intimate relationship between academic research and surveillance applications created for the military, the police and profit-driven corporations.

Biological and Computer Vision by Gabriel Kreiman explains how AI attempts to replicate how humans and animals process visual data.

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The output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications need more scrutiny.

Computer vision has become commonplace across innumerable industries, but the methods of creating and controlling these visual AI models aren't so easy.

Why edge computing storage, upskilling and an increased focus on privacy will propel the computer vision market in 2023.