Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...
Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence solutions and strengthen decision-making capabilities using data.
Abstract: Video-based anomaly detection plays a crucial role in applications like surveillance, healthcare, and autonomous systems. Deep learning techniques, such as Convolutional Neural Networks ...
Abstract: Accurate anomaly detection in wastewater treatment plants (WWTPs) is essential to secure operational efficiency, environmental compliance and public health safety. This paper investigates ...
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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
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