Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...

Albert Einstein’s quote of the day highlights the idea that problems cannot be solved using the same way of thinking that created them. Rooted in his post–World War II warnings about nuclear weapons, ...

The killer was identified as Ernest Theodore Gable, who himself was murdered in 1987 at 36 years old. "The convergence of irrefutable DNA evidence, fingerprint analysis, compelling witness testimony, ...

Peripheral artery disease (PAD) is a common cardiovascular disease associated with increased risk of amputation, myocardial infarction, stroke, and death, as well as impaired quality of life (QOL), ...

President Donald Trump is declaring inflation dead. Do most Americans — and data — agree? During an appearance on Fox News early Friday, Trump claimed that he “already solved” inflation. “Costs are ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...

Phyllis Bailer's 3-year-old daughter was found safe near her mom's body. Over 50 years after a mom was killed and her daughter was left abandoned with her body, the young mom's cold case murder has ...

A well-known test for artificial general intelligence (AGI) is getting close to being solved, but the test’s creators say this points to flaws in the test’s design rather than a bonafide breakthrough ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Representation theory transforms abstract algebra groups into things like simpler ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...