A unique collaboration between electrical engineers and ophthalmologists solves clinical, computational challenges.

This repo supplements course "Deep Vision and Graphics" taught at YSDA @fall'24. The course is the successor of "Deep Learning" course taught at YSDA in 2015-2021. New course focuses more on ...

It started as Fire-Flyer, a deep-learning research branch of High-Flyer ... Then, in 2023, Liang, who has a master's degree in computer science, decided to pour the fund’s resources into ...

You will be redirected to our submission process. Deep learning has transformed the landscape of computer vision, enabling breakthroughs in tasks such as image classification, object detection, and ...

which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks ...

Once rare items, stunning ultrawide computer monitors—some of them curved ... resolution lets you work with photos and intricate diagrams or view two or three program windows side by side.

Engineering students like An Le (left) and Bo Wen (center) work with Professor Truong Nguyen (right) to develop AI tools that ...

With significant advances made in computer vision, deep learning as a part of artificial intelligence attracts increasing attention in medical image automatic segmentation. In this article, we ...

Computer vision lets engineers identify bottlenecks, track time and motion and assess performance across production lines and ...

Knowing a little more about how biological vision works can help students to recognize what’s behind the arc of computer ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...