The proposed diffractive deep neural network employs orbital angular momentum encoding and diffractive layers to process spatial information from handwritten digits, offering a robust and versatile ...

Object recognition through random scattering media has been an important but challenging task in many fields, such as biomedical imaging, oceanography, security, robotics, and autonomous driving.

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Convolutional neural networks show remarkable results in classification but struggle with learning new things on the fly. We present a novel rehearsal-free approach, where a deep neural network is ...

Stellantis has been granted a patent for an object detection and classification verification system for vehicles. The system uses a projection system to project pre-captured 3D scenes onto a surface ...

SAN FRANCISCO--(BUSINESS WIRE)--Capella Space Corp., a leading provider of high-resolution synthetic aperture radar (SAR) imagery, today announced that SATIM, a global leader in automatic object ...

A lot of science is about classification, but sometimes you encounter things that push the limits of those categories, displaying multiple distinctive characteristics at once. This is the case of Z ...