Computer vision is an ever-growing field in AI, but there's a big problem— it's racist. 😯 engineering
Sight is a miracle— the relationship of reflection, refraction, and messages decoded by nerves within the brain., you’re staring at a reflection of light that enters your cornea in wavelengths. As it enters the cornea, the light is refracted, or bent, toward the thin, filmy crystalline lens that further refracts the light. The lens is a fine-tuner: it focuses the light more directly at the retina, forming a smaller, more focused beam.
Computer vision is a form of artificial intelligence focused on teaching computers to comprehend and interpret images. the cats watched, one of the researchers accidentally moved the glass slide a little too far, bringing its faint edge into viewThis one mistake changed how we view visual processing.The researchers found that particular neurons in the visual cortex were responsible for responding to specific orientations, such as lines and angles.
proved very effective at image recognition, however, they were hard to apply to high-resolution images, making training the net very time-consuming.At the time, typical top-5 error rates for visual recognition hovered around 26% . The University of Toronto team created a convolutional neural network, a deep learning model that identifies images by assigning weights and biases to elements of an image, thatWe’ve reached the point where, like humans, computers have vision.
Additionally, image-identifying AI can easily fall victim to harmful stereotypes in its image classification. Afrom Carnegie Mellon University and George Washington University developed an approach toward recognizing biased associations between concepts such as race, gender, and occupation in image databases. They analyzed the results across two CV models: iGPT and SimCLR.
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