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

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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

Hyderabad: Artificial Intelligence (AI) is transforming the way sleep disorders are diagnosed, with researchers at the ...

Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming ...

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

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

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

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

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

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