Bridging the gap between algorithms and field exploration Montero Mining and Exploration integrated data from its Chilean ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Terpenoids are among the most pharmacologically valuable plant metabolites, yet their biosynthetic gene clusters in ...

Detailed price information for Ondas Holdings Inc (ONDS-Q) from The Globe and Mail including charting and trades.

Far below the waves of the Pacific, scientists are mapping clusters of dense, towering formations that do not fit neatly into ...

Water—essential to life and fundamental to society—has become increasingly more threatening and under greater threat. People everywhere struggle to mitigate the effects of harmful pollutants that ...

Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

The team behind Google Kubernetes Engine (GKE) revealed that they successfully built and operated a Kubernetes cluster with ...

For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires. Add ...