Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

NanoRMS can run both unsupervised (e.g. KMEANS, Aggregative Clustering, GMM) and supervised machine learning algorithms (e.g. KNN, Random Forest). The later will require pairwise samples where one of ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

For example, you can eat soup with a fork, but the result is not as effective as using a spoon. ... Machine learning algorithm brings long-read sequencing to the clinic. Your friend's email.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.