Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

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

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Nobel Prize-winning computer scientist Geoffrey Hinton, known as the ‘godfather of artificial intelligence’, agrees with ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...