Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Scientists in the US have created a tiny silicon chip that can perform mathematical ...

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A team of European researchers has developed a method to identify hazardous chemicals in two of the most dominant waste types: sewage sludge and electronic waste (WEEE). The new technique, based on ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

Erasures codes, particularly those protecting against multiple failures in RAID disk arrays, provide a code-specific means for reconstruction of lost (erased) data. In the RAID application this is ...

tmmax is a high-performance computational library designed for efficient calculation of optical properties in multilayer thin-film structures. Engineered to serve as a Swiss Army knife tool for ...

“I’ll be honest, I'm not into zombie shows or zombie movies or apocalyptic movies,” Carrie-Anne Moss tells Inverse. “It's not really my thing.” I believe her. Speaking over Zoom from her home in New ...

Abstract: This letter propose a quasi-Newton based weighted minimum mean square error (WMMSE) algorithm without matrix inverse to solve the weighted sum rate (WSR ...

In a latest study published in Engineering, researchers from Nanjing University of Aeronautics and Astronautics and Zhejiang University have unveiled a pioneering approach to designing on-chip ...