Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning ...

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

The findings, published in IEEE Transactions on Consumer Electronics, present a way to protect sensitive videos from rare but extremely powerful computers.

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Discover how UC Berkeley uses Azure OpenAI Service to enhance computer science education, enrich learning, and prepare students for future careers.

A new AI algorithm can associate brain activity with certain behaviors, an advancement that can help improve brain-computer interfaces and find new patterns in neural activity.

A new breakthrough in bipartite matching algorithms, inspired by neuron and muscle fiber connections, improves efficiency in systems like ridesharing, enhancing user experience and preserving privacy.

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs ...