A question from his granddaughter sparked Ed Scheinerman's new book, 'A Guide to Infinity', where he shows that infinity ...

This repository contains a subset of data from the Udacity Self-Driving Car dataset used in Automated Driving Toolbox examples provided by MathWorks. The data is saved in MAT-files and represents ...

“Our goal was to build a clear mathematical bridge between abstract algebra and the experience of listening to music,” said study co-author Olga Ibragimova. “When we think of melodies as shapes we can ...

Abstract: This paper proposes a sensorless vector control that combines two discrete-time observers to estimate the rotor speed and position of permanent magnet synchronous machines (PMSM). The first ...

Probability theory describes the likelihood of different outcomes or distinct results from chance processes (sometimes referred to as experiments.) The set of all the possible outcomes of an ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the gauntlet with an exam of actual, unsolved problems that are relevant to ...

Abstract: This paper proposes an online approach for fault diagnosis of timed discrete event systems modeled by Time Petri Net (TPN). The set of transitions is partitioned into two subsets containing ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...