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This episode explores computer vision, an area of artificial intelligence that trains machines to interpret visual data. It details the step-by-step process by which computers analyze images and videos, comparing this mechanical approach to the complex, adaptive nature of human sight. The history of the field is traced from its beginnings through the significant advancements driven by deep learning, highlighting key algorithms and milestones. Ultimately, the sources demonstrate how this technology is being applied across diverse industries and discuss the confluence of factors driving its current growth and future potential.
for detailed research and sources please see: https://tinyurl.com/SM-S1E1
This episode explores computer vision, an area of artificial intelligence that trains machines to interpret visual data. It details the step-by-step process by which computers analyze images and videos, comparing this mechanical approach to the complex, adaptive nature of human sight. The history of the field is traced from its beginnings through the significant advancements driven by deep learning, highlighting key algorithms and milestones. Ultimately, the sources demonstrate how this technology is being applied across diverse industries and discuss the confluence of factors driving its current growth and future potential.
for detailed research and sources please see: https://tinyurl.com/SM-S1E1