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 ...

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) ...

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

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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

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

Shivik Labs is a deep-tech research and engineering unit dedicated to building foundational intelligence architectures.

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