AI works with a simple set of instructions that creates many rules and strategies.

AI is used, for example, to help doctors diagnose patients, pilots fly commercial aircraft, and help predict traffic.

• Unsupervised learning. This approach is ideal for analysing untagged data to find general similarities and patterns. 
• Supervised learning. A computer algorithm is trained on input data to create the desired output.
• Reinforcement learn...

Each technique has its strengths and weaknesses, but when combined, researchers can build complex AI systems.

However, these models become more self-directed, making it hard for computer scientists to determine how these algorithms arrive at their solutions.

A...