The world of computers in the 1980s feels like a time capsule compared to today’s light and thin machines. Long gone are the days of multiple components making up a single computer space, as the ...

Sparse matrix computations are pivotal to advancing high-performance scientific applications, ... Graphics Processing Units (GPUs) have emerged as a transformative technology in this arena, ...

Hot Hardware was founded over 20 years ago in 1999, and covers computer products, gadget, science and related technology news, along with deep-dive tech product reviews. Its mission is to offer a ...

This transition sparked what’s often referred to as the CG War, leading broadcasters to race to captivate viewers with eye-catching computer graphics. The trend gained momentum throughout the 2010s ...

With a mic in hand, Bono belts out “Vertigo,” close enough to reach out and touch, as if you’re sharing the stage with ...

While some hard-core gamers prefer to assemble gaming PCs themselves, many of you seek the convenience and warranty support of a prebuilt desktop. At PCMag, we've been testing desktops for 40-plus ...

To find the best laptops, we employ thorough hands-on, testing-based evaluations of laptop PCs from all the top brands. Our recommendations pinpoint the best budget, premium, gaming laptop, 2-in-1 ...

The ACLU works to expand the right to privacy, increase the control individuals have over their personal information, and ensure civil liberties are enhanced rather than compromised by technological ...

To stay ahead in computer graphics entrepreneurship, it's vital to embrace industry trends. This doesn't mean jumping on every bandwagon but rather discerning which trends have staying power.

Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, ...

Iterative Krylov methods are well suited for such type of problems. These methods require linear algebra operations, including sparse matrix-vector multiplication which can be computationally ...