IITs and IIMs have taken up the task of narrowing the digital divide in the country. Today, anyone with a smartphone -- even in Tier 2 and 3 cities can access AI learning and tools, thanks to these ...

The field of study has recently delved into machine learning and artificial intelligence (AI) based techniques for image recognition, classification, detection, and more.

No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

The application of Machine Learning for microorganism, especially bacteria and yeast, recognition becomes attractive because it can reduce the analyzing time of ...

Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.

Image recognition has become a cornerstone of modern technology, transforming industries like healthcare, retail, automotive, and security. Deep learning techniques enable machines to recognize, ...

Face Recognition from Uploaded Video About This project processes uploaded video files, identifying and tracking faces using pre-trained models. Each frame is analyzed to detect faces, which are then ...

This Python project provides a simple framework for data analysis, allowing users to process and visualize datasets efficiently. It includes tools for data cleaning, exploration, and plotting, making ...

Learn how to use machine learning for image recognition. Discover some of the most effective projects and frameworks for face detection, object segmentation, image captioning, and more.