Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...
Jason Chun is a CNET writer covering a range of topics in tech, home, wellness, finance and streaming services. He is passionate about language and technology, and has been an avid writer/reader of ...
Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
LINCOLN — Nebraska’s Nitrogen Reduction Incentive Act (NiRIA) program will provide financial incentives to farmers who reduce nitrogen fertilizer use. The Nebraska Department of Water, Energy and ...
SEATTLE--(BUSINESS WIRE)--Küleon LLC, a preclinical-stage biotechnology company building a best-in-class library of selective, G-protein-biased serotonergic medicines, today announced it has been ...
SEC Hits Mississippi State With Massive Fine After Arizona State Upset Travis Kelce, Patrick Mahomes’ new steakhouse gives first look at menu Ukraine says Russian missile that hit government building ...
Private artificial intelligence companies will soon have a say in determining traditional Medicare patients’ eligibility for certain procedures in Washington state under a pilot program launching next ...
A pilot program in six states will use a tactic employed by private insurers that has been heavily criticized for delaying and denying medical care. By Reed Abelson and Teddy Rosenbluth Like millions ...
FEED will allow Soldiers to use their meal entitlements outside of traditional Army-operated dining facilities for the first time. During the pilot, 200 Soldiers from the 61st Quartermaster Battalion ...
Citing successes other police departments across the country have seen using drones, the Los Angeles Police Commission said it would allow the LAPD to deploy unmanned aircraft on routine emergency ...
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 challenging tasks in numerical ...