The Daily Galaxy on MSN

AI uncovers dinosaur tracks that look eerily like birds from a time when birds shouldn’t have existed

A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...
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 ...
Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
The New York Times

Why the New Cannabis Classification Matters

Moving cannabis to a category of drugs that includes some common medicines will have implications for research, businesses and patients. By Jan Hoffman President Trump on Thursday ordered cannabis to ...
Forbes

Tesla Deploys Robotaxis With Nobody In Them. Are They Unsupervised?

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...
Frontiers

3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms

Classification of benthic habitats in the deep sea is instrumental in managing and monitoring marine ecosystems as it provides distinct units for which changes can be quantified over time. These ...
Electrek

Tesla puts foot in its mouth: ‘unsupervised self-driving is not solved’, but what about robotaxi?

Tesla has put its foot in its mouth regarding its self-driving efforts during its quarterly conference call last night. The automaker admitted that ‘unsupervised self-driving is not solved’ on its HW4 ...
IEEE

An Unsupervised Clustering Technique for Dual-Pol Sentinel-1 SLC and GRD SAR Data

Abstract: Synthetic aperture radar (SAR) data classification has gained significant research interest, as accurate land-cover information is vital in a wide range of planning and management activities ...
Scientific Research Publishing

Richards, J.A. (2022) Clustering and Unsupervised Classification. In: Richards, J.A., Ed., Remote Sensing Digital Image Analysis, Springer International Publishing, 369-401.

ABSTRACT: In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The ...
Scientific Research Publishing

Unsupervised Classification of Sea Surface Temperature (SST) in the Tropical Atlantic Using Spatial and Functional Data Analysis ()

In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The methodology we ...