A study by ANL has shown how physics-based models and AI can improve trust in nuclear diagnostics by explaining faults and ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Founded in 2019, Multiverse Computing aims to 'slim down' models using what it calls "quantum physics" methods: its core ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Abstract: Ensuring reliability in modern computing systems requires efficient and accurate error detection mechanisms. This paper explores a machine learning based ...

Microsoft offers an easy method to recover Windows devices when encountering fatal issues that prevent them from booting up – Quick Machine Recovery. It searches the cloud server for resolutions and ...

Breast and Gynecologic Cancer Care for Sexual Minority Women and Transgender People The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly ...

ABSTRACT: With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and ...

To cite the contents of this repository, please cite both the paper and the INFORMS Journal on Computing GitHub repo, using their respective DOIs.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...