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 ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

Researchers at the University of Basel have developed mechanical models that can predict how effectively the different layers of a deep neural network transform data. Their results improve our ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Computer Vision Models. Computer vision is a field of AI that uses machine learning and neural networks that empower computers to interpret visual data, like images and videos, and make ...

The rapid evolution of deep learning and computer vision has revolutionized industries ranging from healthcare to autonomous systems. Following the success of the inaugural DLCV 2024(Past Name ...

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.

His system leverages convolutional neural networks (CNNs), long short-term memory (LSTM) models, and reinforcement learning to optimize both throughput and spectrum utilization.