on top of things
Our data scientists are at the forefront of pioneering machine learning research. They engage in continuous intellectual and scientific exchange and are active members in various research collaborations with internationally renowned Swiss universities and technology institutions, such as the ETH Zurich, to develop the next generation of machine learning algorithms.
By partnering with ZENAI, you chose world-class talent, deep and proven technical knowledge as well as expertise in the financial environment. ZENAI’s research findings and capabilities are continuously embedded into our products and strategic consulting.
The following is a short-list of publications, co-written by ZENAI engineers. Their findings are widely acclaimed and often cited in the academic field of machine learning.
* ZENAI employee / research collaboration
Analysis of the generalization error: Empirical risk minimization over deep artificial neural networks overcomes the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
Julius Berner, Philipp Grohs, Arnulf Jentzen*
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations
Christian Beck, Weinan E, Arnulf Jentzen*