This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: The increasing complexity of modern software sys- tems has led to a rise in vulnerabilities that malicious actors can exploit. Traditional methods of vulnerability detection, such as static ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

French telecommunications operator Free has joined Nokia’s Network as Code API ecosystem, making it easier for developers and enterprises to build, test and deploy new applications that securely tap ...

Abstract: Polar codes with large kernels offer improved error-correction performance but suffer from high decoding complexity due to costly marginalization operations. In this work, we propose neural ...