Physics-based AI could boost biomedical imaging and autonomous vehicle sensors
A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within "complex media," which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The
A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within "complex media," which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The This story matters for Science & Discovery readers tracking mech. Reported by phys.org. Read the full original at the source link below.
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