Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Digital image processing and topology represent a synergistic field where computational techniques merge with rigorous mathematical frameworks to analyse and interpret digital data. At its core, ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

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 ...

In an advance at the intersection of neuromorphic engineering and photonics, researchers have developed an ionic-electronic photodetector that not only detects light but also performs in-sensor image ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

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 ...

Sensor sensibility: Some of the biggest names in the history of digital image sensors who have made significant breakthroughs in CCD and CMOS sensors have collaborated on a history of the technology ...

A multinational team of researchers has unveiled a new safety system for autonomous machines ...

Employing artificial intelligence (AI) in the power industry may seem like a futuristic concept, but the truth is that it’s available in several innovative applications today. Power companies that tap ...