Abstract: The solution of sparse symmetric positive definite linear systems is an important computational kernel in large-scale scientific and engineering modeling and simulation. We will solve the ...

Chili powder's complex matrix poses challenges for pesticide residue analysis, requiring optimized LC–MS/MS methods for ...

Artificial intelligence has made huge breakthroughs, but at the cost of energy-hungry training methods based on massive data ...

Climate change is the biggest challenge facing the planet. It will need every solution possible, including technology like artificial intelligence (AI). Seeing a chance to help the cause, some of the ...

Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...

A study suggests that the first of seven key pyramids in Egypt, the Step Pyramid of Djoser, was built using a hydraulic lift. Dated to about 4,500 years ago, this would move up the introduction of ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our ...

Management knows it and so does Wall Street: The year-to-year viability of a company depends on its ability to innovate. Given today’s market expectations, global competitive pressures, and the extent ...

Sketch 'n Solve is a Python library that implements basic randomized numerical linear algebra (RandNLA) techniques for solving large-scale linear algebra problems. The library is designed to be ...

With three years spent researching, comparing, and testing software products, Tyler Webb is an expert on all things telecommunications. With work featured on GetVoIP.com, he's written over 150 ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...