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 ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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

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

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

Jensen Huang, NVIDIA, and the World’s Most Coveted Microchip stands apart from most books written about artificial ...

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

Artificial Intelligence is a relatively recent tool developed by computer experts. What is it? Here are some definitions to ...

Tiny lab-grown brains are offering an unprecedented look at how schizophrenia and bipolar disorder disrupt neural activity.

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...