Theories of Intelligence Intelligence tests and psychological definitions of intelligence have been heavily criticized since the 1970s for being biased in favor of Anglo-American, middle-class respondents and for being inadequate tools for measuring non-academic types of intelligence or talent. Intelligence and Learning The central feature of intelligence is the ability to understand what is really going on out there and to respond to events with successful and adaptive behavior. Intelligence is built from subsystems that sense, decide, remember and action. One of the most highly anticipated developments in the IoT is the infusion of Artificial Intelligence and Machine Learning (AI/ML) in edge devices.
Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems. Artificial Intelligence and Machine Learning are much trending and also confused terms nowadays.