Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

In this article, we introduce an AI-based holistic network optimization solution to schedule AI services. Our proposed deep Q-learning algorithm optimizes the overall throughput of AI co-inference ...

This paper investigates the optimal tracking control problem for cyber-physical systems (CPSs) under mixed attacks based on the Stackelberg game strategy. First, an improved value function is designed ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Code release for the paper "GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats" - hse1032/GSGAN ...

Python for cybersecurity with the basic concepts, easy to understand code examples, lab exercises, real-world examples, different security scripts covering web security, network security, defensive ...