A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

Abstract: Histogram equalization is a method of contrast adjustment in image processing using the image’s histogram. However, as modern imaging systems become more complex, these traditional ...

Future computers are expected to incorporate analog systems to solve the critical energy bottleneck facing digital AI models. Analog computing uses continuous signals like voltage instead of the ...

Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...