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 ...

One of the ironies of the moment we’re in is that this inversion of good and evil, truth and falsehood has become more widespread and extreme at the very time that science, technology, and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Abstract: An efficient, accurate, and robust inversion algorithm is proposed in this work to reconstruct perfect electric conductor (PEC) scatterers, which considers the complex multiple scattering ...

We’ve all heard those crazy claims when it comes to hair growth that brands or people on the internet swear grew their hair 3 inches overnight (in case you were wondering, no, that’s just not possible ...

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...

The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.

Abstract: This paper presents a novel method for accurately and conveniently inverting the relative permittivity and conductivity of half-space medium using a single antenna in the presence of ...

Erasures codes, particularly those protecting against multiple failures in RAID disk arrays, provide a code-specific means for reconstruction of lost (erased) data. In the RAID application this is ...

Goods are shipped around the world via roads, rail, and air. Why not space, too? That’s the question posed by Inversion Space, a Los Angeles-based startup that’s developing a reentry capsule that it ...