Since the early days of artificial intelligence, computer scientists have been dreaming of creating machines that can This article is part of Demystifying AI, a series of posts that (try to ...

Same as 5900-14. Specialization: Standalone course Instructor: Dr. Ioana Fleming, Instructor of Computer Science and Co-Associate Chair for Undergraduate Education Prior knowledge needed: Basic ...

Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

For instance, a computer vision system can verify a product’s legitimacy by comparing images of the product received in a shipment with reference images kept on the blockchain. Moreover, deep ...

Computer-vision systems powered by deep learning are being developed for a range of applications. The technology is making self-driving cars safer by enhancing the ability to recognize pedestrians.

But it was the release of ImageNet, a dataset containing millions of tagged images, in 2010 that helped propel computer vision’s rise. Suddenly, a vast amount of labeled, ready-to-go data was ...

Because deep learning is the most general way to model a problem, it has the potential to solve difficult problems—such as computer vision and natural language processing—that outstrip both ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...