In this episode of Threat Vector,⁠ David Moulton⁠ is joined by⁠ Keith Mularski⁠, Chief Global Ambassador at Qintel and former FBI cybercrime investigator, to explore how threat intel forged in the ...

Abstract: Support vector machines (SVMs) are popular learning algorithms to deal with binary classification problems. They traditionally assume equal misclassification costs for each class; however, ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The speed and efficiency of traditionally developed software applications is limited by the fact ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The mathematical foundation of post-quantum cryptography primarily relies on complex mathematical problems, such as the shortest vector problem (SVP) and closest vector problem (CVP) within lattice ...

Last month, several Cybertruck owners reported that Tesla offered them a free drive unit replacement during their next Service visit. Tesla explained the offer as part of a study on early Cybertruck ...

Measuring agricultural productivity is a multiscale spatiotemporal problem that requires multiscale solutions. In Vietnam, rice comprises a substantial portion of the cultivated area and is a major ...

Khristopher J. Brooks is a reporter for CBS MoneyWatch. He previously worked as a reporter for the Omaha World-Herald, Newsday and the Florida Times-Union. His reporting primarily focuses on the U.S.

vectfit3.py is the implementation of the Fast Relaxed Vector Fitting algorithm in python. This algorithm was originally developed by B. Gustavsen and A. Semlyem 1 and the original code was written in ...