Narrow AI (ANI) – also referred to as Weak AI, goal-oriented AI which is designed to perform singular tasks (eg facial recognition, speech recognition, voice assistants, driving a car, or searching the internet); very intelligent at completing the specific task it is programmed to do. Virtual assistants such as Siri by Apple, Alexa by Amazon, Cortana by Microsoft are examples. Narrow AI vs AGI

Artificial General Intelligence (AGI) – also known as strong or deep AI, a machine with general intelligence that mimics human intelligence & behaviors, learns, and applies its intelligence to solve any problem; can think, understand, and act in any situation that is indistinguishable from humans.

Supervised Learning – AI trains on data that has ideal input-output pairings; critiqued and rated by an instructor in order to learn and improve.

Semi-supervised Learning – AI learns off of a smaller amount of labeled training data; combines supervised with unsupervised learning.

Unsupervised Learning – AI uses machine learning algorithms to analyze and cluster unlabeled datasets; Neural networks, which simulate the neurons of the human brain, are often used in unsupervised learning.

Reinforcement Learning – AI will constantly act and perceive, yet only occasionally receives feedback on its behavior.

Natural Language Understanding – branch of natural language processing that focuses on the ability of an algorithm or process to parse spoken speech and construct a discernable model that facilitates comprehension. Narrow AI vs AGI

Emotional Analysis –  considers the inflection of words, voice timbre and pitch, as well as cadence.  All these additional data help to frame the context of the user as they are speaking.

Search AI – process of navigating from a starting state to a goal state by transitioning through intermediate states;  AI may ask some questions to more fully understand the context of the question; AI reaches its goal state by determining the most relevant responses.  An informed search algorithm uses domain knowledge that AI has learned in some manner over time. Informed search, by the way, is also called Heuristic search. Narrow AI vs AGI

Conversational AI – an extension of Natural Language AI; as AI approaches the goal state of a given query, it will isolate the highest rated or most relevant responses based upon a user’s preferences, topic of discussion, derived meanings, and state of being. Use APA guidelines