A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

QR codes were once a quirky novelty that prompted a fun scan with the phone. Early on, you might have seen a QR code on a museum exhibit and scanned it to learn more about the eating habits of the ...

One of the main uses of QR decomposition A=QR is in solving the linear least squares problem Ax=b. In order to solve this problem, the only access we need of Q is the ability to apply it (or its ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Posts from this topic will be added to your daily email digest and your homepage feed. You don’t need an app for this —your phone can do it already. You don’t need an app for this —your phone can do ...

Technology speeds up our world, enabling faster turnaround times, streamlined efforts and near-instant transactions. At the same time, today’s consumer is more interested in buying the right item than ...

SMS or text message-based two factor authentication (2FA) is not considered secure, and Google wants to replace that confirmation step with QR codes when creating a new Gmail account. Google tells ...

Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...