Children’s visual experience may hold key to better computer vision training

The impact of position on the appearance, lighting, and camera distance/focal length of an image. Credit: Image provided by the research team, using tree photos (B) by Federico Adolfi and head bust photos (C) by James Z. Wang. A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State. In the first two years of Read More

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