Winners of the U.S. defense Counter-small Unmanned Aircraft System (C-sUAS) Low-Cost Sensing (LCS) challenge have been announced. The selected systems secured a place among the 10 finalists who ...

Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...

Some are being nudged to learn how to use the nascent technology. Coming to the C-suite retreat: mandatory website-building exercises using A.I. tools. By Jordyn Holman In March, Andy Katz-Mayfield, a ...

The Matrix Foundation has released patches and mitigation details for two vulnerabilities that use its open standard communications protocol to transmit sensitive information. The nonprofit Matrix ...

According to the textbooks, we lost the ability to make vitamin C because our diet meant that we didn’t need it. But studies in animals suggest losing this ability actually helped our ancestors fight ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality. By ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

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 ...