Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Abstract: In the domains of image processing and computer vision, the exploration of hexagonal image processing systems has emerged as a fundamentally innovative yet nascent methodology that is ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. How do computers see the world? It’s ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...

Abstract: This research investigates the integration of Deep Q-Networks (DQN) and Ant Colony Optimization (ACO) in developing a hybrid framework aimed at optimizing energy consumption in computer ...

Computer vision artificial intelligence can improve patient care, but reaping its full benefits relies on careful training, data protection and validation by medical professionals. Computer vision is ...