A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: As railway transportation grows, the need for rapid and accurate rail profile inspection becomes increasingly critical. Traditional contact-based inspection methods are slow and costly, ...

Peter Robinson is joined by Zohar Palti — Distinguished Visiting Fellow at the Hoover Institution and former head of the Intelligence Directorate in Israel’s Mossad — for a rare inside account of how ...

Organizations and societies rely on fines and rewards to harness people’s self-interest in the service of the common good. The threat of a ticket keeps drivers in line, and the promise of a bonus ...

Abstract: The problem of reinforcement learning (RL)-based fuzzy control for nonlinear systems with unknown dynamics via parallel composite policy iteration (PCPI) scheme is studied in this article.

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. Suzanne is a ...