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.

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 ...

A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Modern computer models -- for example for complex, potent AI applications -- push traditional digital computer processes to their limits. New types of computing architecture, which emulate the working ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

AI can make ophthalmology more accessible, accurate, and preventative by using smart optical technology and data-driven diagnostics.

Discover how Meta AI glasses use cutting-edge computer vision and voice AI technology to see, hear, and intelligently ...