Constraint Satisfaction Problems are mathematical problems where a set of variables must satisfy a given set of constraints. CSPs are used in AI for tasks such as scheduling, resource allocation, and puzzle-solving. Techniques like Backtracking and Constraint Propagation are used to find feasible solutions.
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image recognition and object detection, providing businesses with valuable insights from visual information.
Cybersecurity in Artificial Intelligence addresses the protection of AI systems from security threats and vulnerabilities. It involves implementing strategies and technologies to safeguard AI models, data, and algorithms from unauthorised access, data breaches, and malicious attacks. Ensuring cybersecurity in AI is crucial for maintaining the integrity and reliability of AI-driven solutions.
