In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

With artificial intelligence (AI) transforming industries around the world at lightning speed, the need for experts in the ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

A CNN based machine learning project that predicts the crop disease (for now its for watermelon) and recommends treatment for them(Rallis products) ...

Abstract: In this work, we propose a method for domain-incremental learning for audio classification from a sequence of datasets recorded in different acoustic conditions. Fine-tuning a model on a ...

Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that ...