The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.

The machine learning model, built using logistic regression, marked a substantial improvement, with 87.35% overall accuracy.

A neuroscience breakthrough has been achieved using AI to identify neuron cell types from the brain activity recordings of ...

Students now use AI for high-level thinking while doing basics themselves. The 2,400-year-old Socratic method may be our best ...

Abstract: We investigate the relationship between different diversity metrics, accuracy, and resiliency to natural image corruptions of Deep Learning (DL) image classifier ensembles ... to the ...

Abstract: The choice of activation function in deep learning is crucial to the performance of neural networks. The activation function used in conventional deep learning remains unchanged for neural ...

New research is revealing how specialized neurons give our brains an edge artificial intelligence can only dream of ...