Definition

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

What is Multi-Instance Machine learning? New Approaches
August 24, 2022 | 4 minutes read
What is Multi-Instance Machine learning? New Approaches

MIL refers to a supervised learning approach that focuses on training a machine learning model in accordance with large labeled data sets known as bags.

Read More >
Ensemble Learning, AI, and Weak Vs. Strong Learners
August 24, 2022 | 4 minutes read
Ensemble Learning, AI, and Weak Vs. Strong Learners

Ensemble learning refers to a machine learning approach that focuses on using multiple machine learning algorithms to achieve better predictive performance.

Read More >
Multi-Task Machine Learning and New Software Development
August 22, 2022 | 4 minutes read
Multi-Task Machine Learning and New Software Development

Multi-task machine learning refers to a deep learning approach that enables developers to create a single model that can solve multiple problems.

Read More >
Applications of Edge Computing in the Business Landscape
August 19, 2022 | 4 minutes read
Applications of Edge Computing in the Business Landscape

Four applications of edge computing in the current business landscape include the healthcare, retail, manufacturing, and transportation industries.

Read More >
Common Applications of Cloud Computing in the Tech World
August 19, 2022 | 4 minutes read
Common Applications of Cloud Computing in the Tech World

Four common applications of cloud computing in the business world today include PayPal, Slack, Google-G Suite, and Intuit QuickBooks.

Read More >
The PCI-DSS 4.0, New Financial Standards for Businesses
August 18, 2022 | 4 minutes read
The PCI-DSS 4.0, New Financial Standards for Businesses

The PCI-SSC recently published version 4.0 of the PCI-DSS on March 31, 2022, with the goal of providing consumers with more payment security.

Read More >
Deep Reinforcement Learning, New AI Algorithms
August 15, 2022 | 5 minutes read
Deep Reinforcement Learning, New AI Algorithms

Deep reinforcement learning is a technique that combines the framework of reinforcement learning with the power of artificial neural networks.

Read More >
Four Applications of Self-Supervised ML in the Tech World
August 12, 2022 | 4 minutes read
Four Applications of Self-Supervised ML in the Tech World

Four common applications of self-supervised ML in the current world of tech include natural language processing, self-driving cars, robotics, and healthcare.

Read More >
Balancing Online Profiling and New Data Privacy Concerns
August 11, 2022 | 4 minutes read
Balancing Online Profiling and New Data Privacy Concerns

Have you ever seen an advertisement for a product that you recently purchased using your computer when browsing the internet on your smartphone?

Read More >
What is Self-Supervised Learning? A Cutting Edge Approach
August 11, 2022 | 4 minutes read
What is Self-Supervised Learning? A Cutting Edge Approach

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.

Read More >