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 ...

In today's rapidly evolving world, the transformative power of artificial intelligence (AI) is undeniable. Across various industries, AI has emerged as an indispensable tool, offering unparalleled ...

State-of-the-art image-classifying AI models trained on ImageNet, a popular (but problematic) dataset containing photos scraped from the internet, automatically learn humanlike biases about race, ...

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 ...

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 ...

Many of today's businesses have recognized the benefits of AI. McKinsey reports that computer vision ranks second among all other AI solutions in terms of application, and Statista research predicts ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Computer vision stands at the intersection of artificial intelligence (AI), machine learning and computer graphics, revolutionizing how machines perceive and interact with the visual world. Computer ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The process of identifying objects and understanding the world through ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

Machine learning is capable of doing all sorts of things as long as you have the data to teach it how. That’s not always easy, and researchers are always looking for a way to add a bit of “common ...