This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

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.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Students whose STEM courses are taught using active learning perform better than those taught with traditional lectures. That was the top-line finding of a widely cited 2014 meta-analysis, and it has ...

Have you ever given a lecture to a group of adult learners? If so, you may have noticed their eyes losing focus and phones appearing as you moved through your session. This is because the traditional ...

These tips demonstrate that planning for active learning experiences doesn’t have to be time-intensive or difficult.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...