Agnik Sparks Lab Is Bringing Deep Distributed Machine Learning to Vehicle Analytics and Beyond

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...
IEEE

Research on Intelligent Grading Algorithms for Subjective Questions Based on Transformer and Weakly Supervised Learning

Abstract: With the rapid development of educational informatization, the development of precise and efficient intelligent scoring technology for subjective questions has become an urgent task. This ...
IEEE

Radar Signal Modulation Recognition With Self-Supervised Contrastive Learning

Abstract: Excellent performance in supervised learning-based radar signal modulation recognition (RSMR) techniques relies on the quantity and quality of labeled datasets, while the high cost and ...
pv magazine Australia

Machine-learning models identify hidden physical defects in solar arrays

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...