Use cases, type of logic, and potential benefits from self-learning chips

For many analysts, the potential benefits from self-learning chips are limitless. Dr. Michael Mayberry recalls that, self-learning chip provides a person’s heartbeat reading under various conditions; after jogging, following a meal or before going to bed; to a neuromorphic-based system that parses the data to determine a “normal” heartbeat.

The system can then continuously monitor incoming heart data in order to flag patterns that do not match the “normal” pattern.

One can also observe that, the system could be personalized for any user.

This type of logic could also be applied to other use cases, like cybersecurity where an abnormality or difference in data streams could identify a breach or a hack since the system has learned the “normal” under various contexts.