JPMorgan: The Problem Of Earning Too Much

JPMorgan Chase is expanding its digital bank into France, Spain, and Italy, targeting long-term European growth. Read more on ...

Scientists use Einstein’s equations to reveal what came before the Big Bang

Some of the hardest questions in cosmology begin where the usual math gives up. Push Einstein’s theory far enough back toward ...

Anthropic ships major Claude Design overhaul with design system imports, code round-trips, and a fix for its token-burning problem

Anthropic has overhauled Claude Design with brand-compliance controls, Claude Code integration, lower token usage and new enterprise app exports, positioning the AI tool as a serious platform for ...
IEEE

Bounded Projection Matrix Approximation With Applications to Community Detection

Abstract: Community detection is an important problem in unsupervised learning. This letter proposes to solve a projection matrix approximation problem with an additional entrywise bounded constraint.
Nature

Tractability Analysis of Multivariate Approximation Problems

Tractability analysis addresses the fundamental challenge of approximating multivariate functions as both the number of variables and the desired accuracy increase. In high dimensions, naive ...
EDN

Successive approximation

Analog-to-digital conversion methods abound, but we are going to take a look at a particular approach as shown in Figure 1. Figure 1 An analog-to-digital converter where an analog input signal is ...
GitHub

Projected exponential methods for stiff dynamical low-rank approximation problems

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...
The New York Times

Why Common Problems Are Often Worse Than We Realize

See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de búsqueda. Add The New York Times on GoogleAgrega The New York Times en Google If you want to ...
IEEE

Sparse Projection Matrix Approximation and Its Applications

Abstract: This letter introduces a sparse regularized projection matrix approximation (SPMA) model to recover cluster structures from affinity matrices. The model is formulated as a projection ...
Snopes.com

No, Kamala Harris Didn't Say 'the Problem of Solving a Problem Is Not a Problem'

According to memes and social media posts, U.S. Vice President Kamala Harris is rumored to have once opined about dealing with problems, problems and more problems. The purported quote reads, "The ...
acm.org

Solving Sparse Linear Systems Faster than Matrix Multiplication

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...