This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...

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 ...

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 ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

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 ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

In the quest to transform organizations, leaders often champion bold visions: compelling declarations of a better future. Yet many of these dreams fizzle away. Why? Because they fail to bridge the ...

Getting your Trinity Audio player ready... For the second time in a year, the Colorado House passed a bill Wednesday that would prohibit the use of algorithms that, critics and investigators allege, ...