Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...

Abstract: A Deep Q-Learning approach to Intrusion Detection and Prevention Systems (IDPS) offers a cutting-edge solution for enhancing cybersecurity by leveraging intelligent machine learning models.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Google's most capable Gemini 2.5 Deep Think AI model is finally available for public users. It's a faster version of the AI model that achieved the Gold medal at IMO 2025. It's rolling out to Google ...

ImportError: DLL load failed while importing _pywrap_tensorflow_internal: Une routine d’initialisation d’une bibliothèque de liens dynamiques (DLL) a échoué. from ...