Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Modeling Spectral LED Degradation Using an Unsupervised Machine Learning Approach

Abstract: The modeling of spectral characteristics of light-emitting diodes (LED) has been addressed in various studies. We extend the current state of knowledge by modeling the spectral ...
Asianet Newsable on MSN

Best AI and data science courses for workflow automation

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
IEEE

Machine Unlearning for Source-Free Unsupervised Partial-Domain Adaptation in Remote Sensing

Abstract: Source-free unsupervised domain adaptation (SFUDA) enables the model adaptation to unlabeled target domains without accessing source data. However, when the source domain contains classes ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...
GitHub

y3owk1n/time-machine.nvim

The documentation may not cover all the features of the plugin. I will update it as we go. There is no test yet for now, but it will be added soon. Hopefully nothing breaks. The plugin will never be ...