New research offers clues to what goes on inside the minds of machines as they learn to see. Instead of attempting to account for a neural network's decision-making on a post hoc basis, their method ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Foundational Breakthroughs in AI Papers 2019 2019 saw the release of some truly game-changing research papers in ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Since the early years of artificial intelligence, scientists have dreamed of creating computers that can “see” the world. As vision plays a key role in many things we do every day, cracking the code ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...

As an ophthalmologist and technology commentator, I have been intrigued by how artificial intelligence and computer vision are transforming drone capabilities and reshaping modern warfare. In the new ...

DURHAM, N.C. -- The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks. Loosely modeled on the ...