One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

The largest digital camera ever built is starting to capture images of unseen corners of the universe. The Vera C. Rubin ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis.

Dataland, the world's first museum of AI arts, is set to open in downtown L.A. on June 20. Arriving as debate about AI reaches new heights, Dataland seeks to place an experience of the natural world ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

The Common Data Set can help prospective students know how much aid they could get to pay for college. Why don’t all schools provide it? By Ron Lieber A similar version of this column was published ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists use AI ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

The first study of the use of microarray patches to vaccinate children has shown that the method is safe and induces strong immune responses. The phase 1/2 randomized trial compared results from the ...

Abstract: This study focuses on an information theoretic approach for estimating the number of clusters K, in microarray data sets. We present an automatic method for estimating K, based on a ...