Explainable AI for Cybersecurity and Open Source Software

Exploring Explainable AI for Cybersecurity: How Can It Improve Security for Open Source Software?

Exploring the potential of Explainable AI (XAI) for cybersecurity purposes has become an increasingly important topic of discussion in the tech industry. With more organizations relying on open source software for their IT infrastructure, this technology could be key in improving security for these systems.… Read the rest

Explainable Reinforcement Learning and the Future of Explainable Robotics

Exploring the Benefits of Explainable Reinforcement Learning for Robotics

As the robotics industry continues to grow, researchers are increasingly turning to explainable reinforcement learning (RL) as a way to help robots make better decisions in complex and uncertain environments. Explainable RL is an approach to machine learning that uses both human-understandable rules and an artificial neural network to help robots learn from their environment and make decisions.… Read the rest

The Benefits of Explainable AI for Disaster-Resilient Infrastructure

Exploring How Explainable AI Can Help Identify and Mitigate Disaster Risk Factors

The use of Explainable Artificial Intelligence (AI) is gaining traction in several industries, and now researchers are exploring how it can help identify and mitigate disaster risk factors. Explainable AI (XAI) uses algorithms to explain decisions made by a computer system, making it easier to understand and trust the system’s decisions.… Read the rest