Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Modern portfolio theory provides a mathematical framework for assembling a portfolio of assets to maximize expected return for a given level of risk. This project aims to implement a quantum approach ...

Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...

California has taken a big step toward regulating AI. SB 243 — a bill that would regulate AI companion chatbots in order to protect minors and vulnerable users — passed both the State Assembly and ...

Listen Now: Listen and subscribe to Morningstar’s The Long View from your mobile device: Apple Podcasts | Spotify Our guest on the podcast today is Scott Bondurant. Scott is the founder and chief ...

According to Nvidia’s 2025 State of AI in Financial Services report, one in four firms identify portfolio optimization as the single most ROI generative application of AI in Finance. In reality, ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...

In minimal risk portfolios, costs associated with transactions are essential in calculating the net performance. The transaction costs of maintaining such portfolios are predominantly negative due to ...