Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...

The method of stochastic quantization of euclidean quantum field theory is extended to the case of theories with fermion fields. A modified Langevin equation for spinors is introduced, and the ...

In your review of Anil Ananthaswamy’s book Why Machines Learn, I was astonished to read his statement that the mathematics behind AI is simple, “the kind one learns in high school or early college”.

Département de Mathématiques, Unité de Recherche et de Formation en Sciences Exactes et Appliquées, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso. The article is structured as follows: In ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

Abstract: Despite the effectiveness of Robust and Stochastic Model Predictive Control, not all scenarios require robust trajectories or permit constraint violations. Achieving a balance between safety ...

Zain Jaffer is the founder and president of Zain Ventures, a family office that invests in real estate and proptech. During the past few months, we have all likely read how artificial intelligence (AI ...

Abstract: Stochastic circuits are an alternative computation model where real numbers are represented by probabilistic bit-streams. This paper takes tools and lessons from stochastic circuits and uses ...