Abstract: Evidence filters have found a wide range of applications in military surveillance, environment monitoring, homeland security, etc. Designing evidence filters is challenging because of the ...

MATLAB is a leading environment for numerical computing, algorithm design, and data analysis used by engineers, researchers, and students worldwide. Prices matter because the total outlay depends on ...

AI tools have become a hit with lawyers. But judges have shown they have little patience for when their experiments with the tech go wrong. When combing over a document submitted by two defense ...

Megan DeMatteo is an independent journalist and editor covering all things money, lifestyle and web3. She has written for notable publications including Marie Claire, CoinDesk, Insider and more. She ...

When the AI-generated “Will Smith eating spaghetti” video went viral a little over 2 years ago, I wasn’t as skeptical as some about the future of AI video generation. I anticipated improvements, but I ...

One of the simplest ways for a hacker to gain control of your online accounts is by getting hold of your password. Sometimes, they do this through brute force attacks — automatically checking millions ...

Students are resorting to extreme measures to fend off accusations of cheating, including hourslong screen recordings of their homework sessions. By Callie Holtermann A few weeks into her sophomore ...

Q. Are there any alternatives to traditional PivotTables in Excel? A. The first thing that comes to mind is the function GROUPBY. The primary purpose of GROUPBY is to make data analysis easier by ...

National security adviser Mike Waltz and Defense Secretary Pete Hegseth are facing major backlash over their use of Signal, the encrypted messaging app that the top government officials and other ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...

Abstract: Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs). AEs are minimally perturbed input data undetectable to humans posing significant risks ...