8.4 Sensor fusion growth

The ability to combine sensory information creates new informational insights

There is no inherent limit to the number of different sources of sensory information to which AI can connect to and collect information. As sensor technology continues to advance, and new types of sensors are developed, AI systems may be able to collect and analyze information from an ever-increasing number of fused realtime sources.

AI may initially hit I/O processing Hard Limits

Today there are practical limitations to how much information an AI system can process and integrate effectively. As the number of sensors and the amount of information they produce increases, it will become more computationally challenging to extract meaningful insights and make accurate predictions from such a diverse range of information sources in realtime. Additionally, the computational resources required to process larger amounts of information normally becomes increasingly energy consuming and expensive, which may heavily limit the rapid scalability of AI systems.

Therefore, while there may not be an inherent limit to the number of sensory inputs that AI can collect information from, there are practical considerations that must be taken into account when designing and implementing AI systems. The goal is to balance the number and types of input sensors and controlled outputs with the computational and analytical resources needed to extract valuable insights, make useful predictions, and produce useful outputs.