Opinion

Sandia boffins let three AI agents loose in the lab. Science, not chaos, ensued

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...
Edutopia

Helping Students Become Active Participants in Science

High school science teachers can design tasks that not only develop students’ science skills but also change how they see ...
Frontiers

OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints

1 Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States 2 Department of Applied Mathematics, University of Washington, Seattle, WA, United States ...
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
Frontiers

A drop-out mechanism for active learning based on one-attribute heuristics

Active Learning (AL) leverages the principle that machine learning models can achieve high accuracy with fewer labeled samples by strategically selecting the most informative data points for training.
Scientific Research Publishing

Narang, B., Gupta, A. and Bansal, R. (2013) Use of Active Rules and Genetic Algorithm to Generate the Automatic Time-Table. International Journal of Advances in Engineering ...

ABSTRACT: Manual timetable preparation in colleges and universities is often time-consuming, error-prone, and inefficient, especially with increasing student and course complexity. This paper proposes ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.