Final answer:
Real-time learning is about systems that can learn and make decisions as data becomes available, crucial in dynamic environments like cyber security or autonomous vehicles.
Step-by-step explanation:
Real-time learning goes further than the baseline, it learns and profiles applications running in the environment. In the context of computational systems, real-time learning algorithms are capable of learning and making decisions based on data as it becomes available, without significant delay. These systems are essential in scenarios where rapid and continuous decision-making is critical, such as in autonomous vehicles, fraud detection, and adaptive computer security measures. The real-time learning process involves continuously updating the system’s knowledge base and adapting to changes in the operating environment, leading to more accurate and effective decisions over time.