Abstract: Traditional machine learning-based malware detectors often rely on static features such as API calls, DLL imports, and PE header values. However, these systems remain vulnerable to ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Can an AI learn to play the perfect game of Snake? This video explores the capabilities of artificial intelligence in mastering the classic game, including the strategies and algorithms used in the ...

Deep learning is at the core of the large language models used by OpenAI's ChatGPT and Microsoft Copilot, for example. More specialized deep learning models have supported a wide range of scientific ...

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 ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

Gemini Advanced subscribers can now perform Deep Research with Google’s most intelligent 2.5 Pro (experimental) model. When Google made Deep Research available to all users last month, it was powered ...

1 Center for Transformative Science, ShanghaiTech University, Shanghai, China 2 School of Physical Science and Technology, ShanghaiTech University, Shanghai, China The advent of X-ray Free Electron ...

Abstract: This paper studies a deep reinforcement learning technique for distributed resource allocation among cognitive radios operating under an underlay dynamic spectrum access paradigm which does ...