"One of our big goals in search is to make search that really understands exactly what you want,
understands everything in the world. As computer scientists, we call that artificial intelligence."
-Larry Page-
Artificial intelligence is intelligence perceiving, synthesizing, and inferring information-demonstrated by machines, as opposed to intelligence displayed by humans or by other animals. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs.
Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning.
A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces.
Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers.
AI and machine learning-enabled technologies are used in medicine, transportation, robotics, science, education, the military, surveillance, finance and its regulation, agriculture, entertainment, retail, customer service, and manufacturing.
The best frameworks for AI and machine learning development tasks that can employ
to stay ahead with the technological trends in 2023 are
TensorFlow,
Microsoft CNTK,Torch, Theano, and Caffe.
