Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Computing is hitting a physical and economic wall just as generative artificial intelligence explodes in complexity and cost.
A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...
Scientists in the US have created a tiny silicon chip that can perform mathematical ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
The Grand Rapids Area School Board traveled to the Edge Center in Bigfork on Tuesday, Jan. 20, where the agenda shifted between the success of rural career pathways and the sober necessity of upcoming ...
Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...