We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

RMSprop Optimizer Explained in Detail. RMSprop Optimizer is a technique that reduces the time taken to train a model in Deep Learning. The path of learning in mini-batch gradient descent is zig-zag, ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is ...

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...

Overview: Artificial intelligence is rapidly transforming India’s job landscape, making AI skills increasingly valuable ...

How AI-driven admission and discharge prediction can help emergency departments improve throughput, reduce delays, and ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...