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 ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a transformation—and AI is at its core. As deep learning continues to mature, its ...

Deep learning is rapidly becoming an indispensable element in machine vision solutions. Its application is proving to be particularly useful for identifying objects and features in images.

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 ...

Computer Vision (CV) has evolved rapidly in recent years and now permeates many areas of our daily life. To the average person, it might seem like a new and exciting innovation, but this isn’t ...

While such images are formed through the physics of light and mechanics, traditional computer vision techniques have predominantly focused on data-based machine learning to drive performance.

This background gave him unique insight into scale variance—a critical issue facing computer vision that refers to the difficulty of accurately detecting objects at different scales in an image.

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.