Digital technologies bring the science of learning to a critical crossroad. With a lack of high-quality, evidence-based data ...

Helping students see how what they are learning in school is relevant to their lives, hopes, and dreams enhances motivation. It can also be challenging to teachers who are tasked with covering a lot ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Students learn academic content because they need it to solve the problem in front of them. Math becomes a language for ...

Anderson is a journalist, author and speaker. She spent 20 years covering finance including 10 at the New York Times before shifting her focus to learning. She is currently working on a book about the ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Anyone who’s ever scratched their head over their car manual or struggled to parse a website’s terms of service knows: It’s hard to read about a topic you don ...

Given troves of data about genes and cells, A.I. models have made some surprising discoveries. What could they teach us someday? Credit...Doug Chayka Supported by By Carl Zimmer In 1889, a French ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...