The companies that thrive will be those that accept this tradeoff and put leaders in place to manage it. The chief probabilist officer is that leader. They help organizations navigate complexity, ...

The world is undergoing a digital transformation at an unprecedented pace, and artificial intelligence (AI) is at the forefront of ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

If you like this project, please give it a "star"! Thank you for your support! I am currently still actively learning English and have utilized advanced AI translation technology for the English ...

Abstract: Crash probability predictions play a crucial role in integral vehicle safety. This paper presents an integrated approach for enhancing crash probability prediction in critical driving ...

CRE Matrix, a real estate data analytics firm, has refuted PropEquity's claims of data theft, describing the allegations as malicious and false. The legal battle, unfolding in the proptech sector, has ...

This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital ...

Robinhood (HOOD) has partnered with Kalshi, a Commodity Futures Trading Commission (CFTC)-regulated and blockchain-based prediction market, to let users trade on the outcomes of NFL and college ...

Abstract: Reliable estimation of the time-varying covariance matrix of asset returns is indispensable for portfolio construction, risk budgeting, and automated advisory services. Conventional ...