Learn how financial modeling projects future performance and supports strategic planning with essential components like ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Abstract: Interoperability among diverse data standards is crucial for advancing digital technologies in smart manufacturing and transportation. This paper studies and presents a hybrid AI framework ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

The EU's CO₂ targets are being weakened, automakers are adjusting their once-ambitious e-mobility goals, and at the same time ...

Abstract: Data-driven traffic modeling in Intelligent Transportation Systems (ITS) often learns traffic trends offline from massive historical databases rather than continuously learning in ...

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...