Thursday Morning Talk

Artificial intelligence has advanced rapidly through larger and deeper neural networks, yet fundamental questions remain about how to optimize network dynamics for performance and adaptability. This study shows that deep

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More details to follow.   Photo by Prince Patel on Unsplash.

Abstract The size and complexity of current Deep Artificial Neural Networks pose remarkable challenges to our attempts of explaining and understanding their workings. In this talk, I put forward a

More details to follow.   Image created with DALL-E by Maria Ott.

More details to follow. Image created with DALL-E by Maria Ott.

More details to follow. ©SCIoI/Katharina Hohlbaum, Arianna Novati