Abstract: Systolic array architectures have recently emerged as successful accelerators for deep convolutional neural network (CNN) inference. Such architectures can be used to efficiently execute ...

Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...

Abstract: In recent years, Convolutional Neural Neural Networks (CNNs) and Transformer architectures have significantly advanced the field of medical image segmentation. Since CNNs can only obtain ...