Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these ...

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

MIT researchers have created a periodic table that orders AI algorithms based on the properties they share with a mathematical framework known as information contrastive learning ...

Seagrass meadows are critical marine ecosystems, acting as carbon sinks and providing habitats for diverse marine species.

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

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Supervised classification methods group data by labels ... contrastive representation learning with clustering to create a state-of-the-art algorithm for recognizing images—without a single human ...

Supervised classification with the maximum likelihood algorithm was applied to Landsat imagery to classify ... and projection onto UTM Zone 37 N (WGS84) were done and images (path 170, row 052) were ...

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 ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...