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 ...

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 ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

ZE Government Solutions (ZEGS), a wholly owned subsidiary of AI-based gun detection leader ZeroEyes, today announced it has been selected by AFWERX for a SBIR Phase I contract focused on new object ...

Download the source code for example applications in this tutorial. Created by Jeff Friesen. We’ll look at each of these methods and how you can use them to perform special tasks in the context of ...