Definition

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

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.

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.

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.

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.

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.

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.

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.