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

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

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

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

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 ...

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...

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 ...

A deep-learning artificial intelligence model trained on salivary gland biopsy images shows potential for classifying focus scores and Sjögren disease.

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...

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

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...