With new data showing Ohio is moving in the wrong direction in computer science, we can’t afford to rest on past achievements ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

He served on a task force that created the state’s first computer-science learning standards for students in grades K-12, ...

Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons. Learners will be able to use hands-on modern machine ...

This course is a hands-on practicum in designing and building technology-enabled curricula and learning environments. We will use many rich software toolkits designed to enable novice computer users ...

Credit: Ipek Obek Students in Computer and Information Science classes have reacted positively to the increasing adoption of the Structured, Active, In-class Learning Initiative, also known as the ...

Explore the intersection of computer science and statistics to uncover patterns in data. Through hands-on projects, case studies, and expert-led discussions, you’ll apply machine learning to solve ...

Machine learning is becoming a core component of many modern organizational processes. It is a growing field at the intersection of computer science and statistics focused on finding patterns in data.

It is important that you evaluate whether you have a genuine interest and passion for technology, problem-solving, and coding ...

Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology.

Can artificial intelligence-powered tools help enrich child development and learning? That question is the crux of a series ...