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 ...

Learning happened through doing, not consuming. It felt distinctly human. And it stuck. Last week, I returned to Ivey as a ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

When kids tinker in the classroom, they get to build many useful skills from computing to collaboration to creativity and more. Krithik Ranjan, PhD student and member of the ACME Lab, studies low-cost ...