Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

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 ...

Raspberry Pi AI HAT 1 and 2 compared with real FPS numbers and 8 GB RAM on AI HAT 2, so you pick faster hardware for your ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, ...

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 ...

For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to ...

Computer vision can do more than reduce costs and improve quality. Here's how hardware, software, and AI innovations are saving lives and improving safety on and off the factory floor. The first ...

Dr. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a Professor with the Department of Electrical and Computer Engineering. He is also the ...

AI is hot; today’s craze is just the tip of the iceberg. While large language models, generative AI, and image-producing algorithms are neat, the next phase of AI will start generating cash flow for ...