Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. Since the early days of artificial intelligence, computer scientists have ...

Artificial intelligence (AI) is a revolution that is changing how individuals live and work; it’s not just a technological development. There are fundamental building blocks for AI that outline its ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...

Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks. Learners will be able to describe the process behind classic algorithmic solutions to Computer ...

Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. If I asked you to name the objects in the picture below, you would probably come ...

Eggshell crack detection has emerged as a critical quality control process in the food industry, where even minor surface faults can compromise egg safety and shelf life. Recent advancements in ...

Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes. When you look at a photograph of a cat, chances are ...