Definition

Definitions pertaining to frame rates, metadata, synthetic data, phenotyping, signals intelligence, FISA Court, Medical Malpractice Litigation, deidentification, anonymization, and EXIF Data.

3 Applications of RNNs in the Current Business Landscape
August 04, 2022 | 4 minutes read
3 Applications of RNNs in the Current Business Landscape

3 common applications of recurrent neural networks in the current business landscape include machine translation, speech recognition, and call center analysis.

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Multilayer Perceptrons, Old Concepts, and New Products
August 03, 2022 | 4 minutes read
Multilayer Perceptrons, Old Concepts, and New Products

A multilayer perceptron (MLP) is a deep artificial neural network that is comprised of more than one perceptron and dates back to 1943.

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Recurrent Neural Networks, New AI Development
August 02, 2022 | 5 minutes read
Recurrent Neural Networks, New AI Development

Recurrent Neural Networks are a specific type of artificial neural network that is used to recognize sequential characteristics within a dataset.

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Convolutional Neural Networks, New Deep Learning Models
August 01, 2022 | 5 minutes read
Convolutional Neural Networks, New Deep Learning Models

Convolution Neural Networks (CNNs) are a class of neural networks that are most commonly used to identify and analyze visual imagery.

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5 Applications of GANs in the Business World
July 29, 2022 | 4 minutes read
5 Applications of GANs in the Business World

5 applications of GANs in business include denoising, text-to-image translation, customer personalization, data augmentation, and industrial design.

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5 Applications of ANNs in the Business World
July 29, 2022 | 4 minutes read
5 Applications of ANNs in the Business World

Common uses of ANNs in business include facial recognition software, stock market prediction, weather forecasting, healthcare, and signature verification.

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ANNs, AI, and The Function of the Human Brain
July 27, 2022 | 5 minutes read
ANNs, AI, and The Function of the Human Brain

Artificial neural networks are defined as computational models that are based on the biological structure and function of the human brain.

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Generative Adversarial Networks, Game Theory, New ML Models
July 27, 2022 | 4 minutes read
Generative Adversarial Networks, Game Theory, New ML Models

Generative Adversarial Networks (GANs) refer to a deep learning approach to creating generative models through the utilization of unsupervised machine learning.

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5 Applications of Deep Learning in the Business World
July 26, 2022 | 4 minutes read
5 Applications of Deep Learning in the Business World

5 applications of deep learning in business include autonomous vehicles, financial fraud detection, facial recognition software, NLP, and fake news detection.

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China’s (‘PIPL’), New Comprehensive Data Privacy Law
July 22, 2022 | 4 minutes read
China’s (‘PIPL’), New Comprehensive Data Privacy Law

China’s Personal Information Protection Law (‘PIPL’) is a comprehensive data protection law that was enacted in November of 2021.

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