Artificial Intelligence

Artificial Intelligence (AI) has a critical limit, i.e. its ability to learn new behaviors, because a computer cannot think as human. Computer can only perform what developers told or taught it to do.

Human could base on facts/data to analyze and come up with decision or new algorithms.

The best AI system would be like an expert system with huge database of data. Developers could write algorithms or systems to analyze new data based on prestored data and its associated behaviors.

New (missing) set of data or facts would be entered in systems associated with a new behavior.

If you said that an AI system could generate new codes and behaviors, it only means this AI system generated codes based what developers thought and had written codes in the system.

Imagine if an AI system could think and learn, we could put an AI system equipped with a microphone, camera, and speaker in class rooms from grade 1 to a Ph.D. class, and then we could get a PhD AI system. However, and the AI system or a computer couldn’t learn anything, so it didn’t work.

Machine learning with data driven

Machine learning with data driven method

After watching a video interview with Ericsson CTO, he mentioned that the machine learning is data driven. I think, the following model is applicable for a weather forecast. Operator would enter new data about an unknown weather condition, so the computer learnt and it would be able to forecast correctly next time if it happened again.

For example, a weather condition is based on atmosphere pressure, cloud movement, wind movement, temperature, etc. Thus system would have those data stored in database for each case or weather condition. Based on collected data, system could forecast rain, snow fall, etc.

This model could be used for other cases to build an expert system with known data and facts, so the system could predict those cases based on collected data. Operator would teach or enter new (missing) facts and data, so the system could predict those in the future correctly.