Our AI training courses are designed to equip individuals and organisations with the knowledge and skills necessary to use best practice standards and navigate the complex landscape of AI regulation. In this rapidly evolving field, understanding the ethical, legal, and compliance aspects of AI is essential for responsible and sustainable deployment.
Our courses offer a diverse range of topics, from the fundamentals of AI regulation to specialised industry-specific considerations, providing participants with the tools they need to develop, deploy, and govern AI systems with confidence. Whether you're a professional seeking to enhance your expertise or an organization aiming to ensure regulatory compliance, our training programs are developed to meet your needs and empower you in the AI-driven era.
Neural networks have emerged as a powerful tool in AI, capable of learning complex patterns and making accurate predictions. However, their robustness has been a topic of significant interest and concern.
Here we delve into the concept of robustness in neural networks, detailing both its strengths and limitations. We explore the challenges faced by neural networks when encountering adversarial attacks, their susceptibility to perturbations, and the ongoing research efforts aimed at enhancing their resilience. By understanding neural network robustness, we can pave the way for more reliable and trustworthy AI systems.
