Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Abstract: Riccati matrix equation (RME), a critical nonlinear matrix equation in autonomous driving and deep learning. However, memory-compute separation in traditional solving systems leads to ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

Given a particle in Euclidean space, a central force is a force that points toward or away from the origin and depends only on the particle’s distance from the origin. If the particle’s position at ...

The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...

The math behind even the simplest ocean waves is notoriously uncooperative. A team of Italian mathematicians has made major ...

Approximate solutions to more complex equations can be found using a process called iteration. Iteration means repeatedly carrying out a process. To solve an equation using iteration, start with an ...

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a high-precision and scalable analogue matrix computing chip based on RERAM, which ...

The Eisenhower Matrix is a tool that helps you prioritise tasks based on urgency and importance. By learning to prioritise ...

Abstract: In this paper, fractional order implicit dynamics (FOID) is first proposed and investigated for solving time-varying linear matrix equation $A(t) X(t) B(t ...

At 2 years, Black and white patients who received Lucentis for the treatment of diabetic macular edema achieved similar levels of best corrected visual acuity, according to a study published in JAMA ...