MIT Engineers Use Machine Learning to Develop Ultra-Strong Aluminum Alloy for 3D Printing
Published on October 21, 2025 by Julia S. Creating alloys means combining two or more metals to achieve new and...
Learning methods
Adaptive Adjustment Graph Representation Learning Method for Rotating Machinery Fault Diagnosis Under Noisy Signals
Newswise — In the field of rotating machinery fault diagnosis, intelligent fault diagnosis methods based on graph neural networks (GNNs)...
LLMs augmented hierarchical reinforcement learning with action primitives for long-horizon manipulation tasks
Yun, W. J., Mohaisen, D., Jung, S., Kim, J.-K. & Kim, J. Hierarchical reinforcement learning using gaussian random trajectory generation...
The effect of learning by teaching in nursing skills education on the learner’s knowledge and skill levels: a quasi-experimental study | BMC Nursing
Data was collected using a socio-demographic information form, a knowledge questionnaire, and a skills checklist for Objective Structured Clinical Examination...
Teaching students to tackle real-world challenges and make a difference
How is your school rethinking curricula to balance core academics with emerging skills like AI literacy, sustainability, and entrepreneurship?At Dunes...
Enhancing Hybrid Methods Optimizes Parameterized Quantum Circuits For Variational Algorithms And Machine Learning
Parameterized quantum circuits underpin many promising applications of near-term quantum computers, and optimising these circuits is a central challenge in...
