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

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

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

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

In The Matrix Reloaded, Morpheus, after his ship the Nebuchadnezzar is sunk, makes a biblical reference: I have dreamed a ...

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

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

Once a pioneer that helped the world lay the foundations of machine learning, Japan’s renewed push into artificial ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

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

Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...