The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

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

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

The study by researchers from Clarkson University and the University of North Carolina at Charlotte shows that modern face ...