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 ...

Well, nine years later, artificial intelligence in agriculture isn’t just for the scientists. A tool developed by the four ...

The 6.5-month online course will help learners progress from quantum internet protocols and secure communication to quantum ...

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 ...

Four research papers of the study were recently published in SCI-indexed journals, and its findings have been presented at four national and international conferences ...

At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud ...

The curriculum covers key areas such as quantum internet protocols, secure communication, quantum algorithms, and quantum machine learning (QML) ...

IBM Watson is a pretty big name in the AI world, and for good reason. It’s not just one tool, but more like a whole suite of ...

Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one ...