ElevatED
Demystifying AI. For humans. By humans.
In the News: Elevate CEO Featured on Erie News Now
Elevate.AI is on a mission to bring human-centric AI to the forefront of tech development. Join Chandra in a walkthrough of Elevate’s Beta Windows app, partnership with Gannon University, and plans for the future.
Elevate Beta Access is Live!
Elevate Beta Access is live on November 10, 2022 at 6pm EST.
WPSE Radio Interview | November 2022
Join Chandra de Keyser in Elevate’s first radio debut.
What is the Difference Between AI and Machine Learning?
It's easy to mix up artificial intelligence (AI) and machine learning (ML). Despite the fact that machine learning is an element of artificial intelligence, these two phrases refer to two separate concepts that can be difficult to distinguish between. Put simply,...
How do People Understand Emotions?
What’s the one thing all people have in common? We all have emotions. Here’s how AI is used to help us better understand facial expressions, emotions, and what we can do with that data to make better decisions.
What is Machine Learning?
Machine Learning (ML) is a type of Artificial Intelligence (AI) that is characterized as the use and development of computer systems that are able to learn and adapt without following explicit instructions. Machine learning uses algorithms and statistical models to...
What is Edge AI?
Edge computing—which dates back to the 1990s when content delivery networks were built to stream web and video content from edge servers located close to customers—is being discussed and used by a slew of analysts and corporations. Almost every organization today has...
What are the 21 Facial Expressions?
Facial expressions are a core part of the human experience, but understanding other people’s facial expressions can be difficult. Learn more about the 7 core and 21 mixed facial expressions. How do facial expressions connect to emotions?
4 Types of Classification Tasks in Machine Learning
Machine learning uses algorithms that learn from examples. Classification is a task that uses machine learning algorithms that learn how to assign class labels to example sets in order to solve a problem. The 4 main types of classification are binary, multi-class, multi-label, and imbalanced. It is easy to figure out how to select the best algorithm with our quickstart guide.
What is a Neural Network?
Have you ever wondered how Google Assistant or Apple's Siri responds to your commands? Do you encounter adverts on e-commerce websites for things you previously searched for? If you're curious about how it all works, Artificial Intelligence (AI) is used on the rear to...
