S&P 500 could gain 12-13% by 2026, led by earnings growth despite high valuations. Click for my outlook and why AI, defense ...

Abstract: Neural networks are capable function approximators for data, but their lack of interpretability poses challenges. Physical-informed Polynomial Neural Ordinary Differential Equations ...

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 ...

Anne-Maria Ernvall-Hytönen is the Professor of Mathematics for subject teacher training. Her research focuses on transcendental number theory through ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Abstract: The comparison operation for two numbers is one of the most frequently used operations in several applications, including deep learning. As such, lots of research has been conducted with the ...