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 ...

Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight ...

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 ...

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

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