Associate Teaching Professor Cecil Joseph remembers the first time he taught physics in one of UMass Lowell’s Technology ...

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 ...

How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating effective training data is a challenge that many ML ...

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 ...

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 ...

Now researchers are presenting guidelines for how active matter, such as cells and microorganisms, can best be studied using machine learning techniques. The guidelines can help others navigate the ...

Every conceivable industry is being transformed by advances in technology, including artificial intelligence, automation and machine learning. Enterprise leaders are recognizing this, and are ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

During the past six months, we have witnessed some incredible developments in AI. The release of Stable Diffusion forever changed the artworld, and ChatGPT-3 shook up the internet with its ability to ...

While it might be tempting to view “active learning” as another educational buzzword, a large body of research demonstrates that active and collaborative classrooms produce deeper and more ...