Range defines Modern Portfolio Theory, the mathematical framework of investment decision-making that quantifies the ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Siemens is demonstrating a new EDA AI system specifically designed for semiconductor and PCB design environments. The purpose ...

This chapter shows how portfolio allocation can benefit from the development of large‐scale portfolio optimization algorithms such as the coordinate descent, the alternating direction method of ...

AI-powered crypto trading bots use machine learning to make smarter ... by Cindicator use in-house quant research to automate portfolio balancing. The core advantage lies in their ability to ...

First risk models in the industry to properly disentangle factor risk from idiosyncratic risk for better portfolio optimization and ... to attribution analysis using proprietary BBG data, mixed ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...