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Definitions pertaining to frame rates, metadata, synthetic data, phenotyping, signals intelligence, FISA Court, Medical Malpractice Litigation, deidentification, anonymization, and EXIF Data.
Self-supervised learning is an emerging technique within the field of AI that hinges on a model training itself on one portion of data input.
On Aug. 10, 2022, it was announced that Meta Platforms Inc., formerly known as Facebook, was facing accusations of violating personal privacy.
A Markov Chain is a math concept that is used to describe transitions from one state to another in accordance with a specific set of probabilistic rules.
Modular neural networks refer ANNs that are comprised of several different neural networks that are connected together in conjunction with an intermediary.
Generally speaking, an LSTM will be comprised of four different neural networks, as well as several different memory blocks.
Feed-forward neural networks are the simplest form of neural network that software developers can use to create deep learning applications.
From mobile devices to computers, all major technology products that are available to consumers around the world function in accordance with data.
Common applications of semi-structured data include metadata, Optical Character Recognition, and Extensible Markup Language, among others.
3 common applications of multilayer perceptrons in business include data compression, data encryption, and user profiling/customer ranking.
3 common applications of recurrent neural networks in the current business landscape include machine translation, speech recognition, and call center analysis.