A team of researchers from the University of Malta and the European Synchrotron Radiation Facility in France has developed a new segmentation method for viewing the inside of mummified remains utilizing deep learning. This interesting information came to us from Phys.org in their article, “A classical machine learning technique for easier segmentation of mummified remains.”
Looking for a better method that reduced damages to the mummified remains, researchers have recently used deep learning algorithms trained on imagery of mummified remains.
The complexity of current systems is due to the slice-by-slice analysis of the deep learning systems, so the researchers used classical machine learning instead.
Machine learning and deep learning often seem like interchangeable terms, but there are differences between them. In reality, deep learning is machine learning. More specifically, deep learning is considered an evolution of machine learning. It uses a programmable neural network that enables machines to make accurate decisions without help from humans.
Most organizations have little knowledge of how artificial intelligence (AI) systems make the decisions they do, and as a result, how the results are being applied in the various fields that deep learning and machine learning are being applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
