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This Waldo-hunting robot arm uses a Vision Camera Kit designed for facial recognition. |
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Medical physicist Maryellen Giger, PhD’85, a pioneer of computer vision in cancer imaging, explains the difference between detection and diagnosis using the Where’s Waldo? books: “Detection is finding things red-and-white striped. Diagnosis is saying the red-and-white thing is Waldo.” |
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If a computer can be trained both to spot stripes and then to decide if they’re an umbrella, a beach towel, or in fact Waldo, radiologists can catch—and clinicians can treat—disease earlier. Giger has been working on computer-aided cancer detection and diagnosis for over 30 years. |
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UChicago’s Maryellen Giger aims to develop AI tools to analyze chest X-rays and thoracic CT scans to diagnose, monitor, and help treat COVID-19 patients. |
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Astrophysicist Brian Nord uses computer vision to find gravitational lenses—places in space where light is distorted by massive objects, such as planets or galaxies. |
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In the AI of the beholder |
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A computational artist and a machine learning expert, both UChicago associate professors, built a “style transfer” model, advancing the field of computer vision—and human perception. |
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Style transfer programs, like DeepArt and Deep Dream Generator—whose names refer to deep learning—let you render the content of one image in the style of another. You can upload pictures to these websites or download the UChicago team’s free iPhone app, DeepStyle, to try transfer-style filters on your camera. |
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Flying colors:
Some vibrant colors found in nature are a trick of light.
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Ancient DNA:
Geneticists are now able to recover DNA from prehistoric remains.
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COVID 2025: In the Our World in the Next 5 Years video series, leading scholars discuss how the coronavirus will change our world and what steps are crucial now to shaping that future.
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