AI allows machines to learn from their experiences, adapt to new changes, and complete tasks like humans. AI simulates human intelligence by using algorithms to understand human goals.
It involves identifying a proper nominal set of attributes or features from a dataset. The performance depends highly on selecting the right features, not the wrong ones.
Similar to human brain cells, ANN is composed of connected nodes called artificial neurons. Each connection transmits a signal from one neuron to another neuron after processing it.
Deep learning architecture includes hidden layers between input and output layers. This architectural change facilitates automatic feature extraction along with classification learning.
NLP uses AI to process and translate any language into a form that a computer can comprehend, summarize large volumes of text and respond to spoken commands in real time.
A robot is a programmable machine that assist people or mimic human actions. Originally built to perform monotonous tasks, robots now perform domestically, commercially, and militarily.
Machine perception takes sensor inputs, processes them, and deduces all aspects. It is primarily used in speech recognition, facial recognition, and object recognition applications.
AI is capable of handling monotonous tasks repeatedly without getting tired. It can handle multiple commands in a single day and acts as an assistant. Example- SIRI, Cortana, etc.