Why AI Models Suck At Investment Banking

In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...
Frontiers

Interpretable machine learning models to predict survival in esophageal cancer: a study based on the SEER database and external validation in China

The final, formatted version of the article will be published soon. Objective:We developed interpretable machine learning(ML) models to predict the overall survival(OS) of esophageal cancer patients.
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Harmonizing Regulatory Data: Why Banks Need An Operating Model And Not Another Data Lake

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...
Santa Fe Institute

Agent-based models move into the economic mainstream

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, ...
IEEE

PriDM: Effective and Universal Private Data Recovery via Diffusion Models

Abstract: Deep models excel in analyzing image data. However, recent studies on Black-Box Model Inversion (MI) Attacks against image models have revealed the potential to recover concealed (via ...