Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Participants will code, simulate, and benchmark advanced quantum algorithms while applying Quantum Machine Learning (QML) to practical, real-world scenarios.

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Researchers from the University of South Florida have used artificial intelligence and citizen science to identify what may ...

While nanopore technologies have revolutionized DNA and RNA analysis, their application to proteins has been limited due to the proteins’ complex structures and variability in signal behavior. The ...

Explainable AI was particularly valuable in validating the predictions. The Grad-CAM and Class Activation Mapping methods ...