Light may outshine quantum for some of computing's toughest optimization problems

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...
mccormick.northwestern.edu

A Scalable Probabilistic Computer

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...
IEEE

Approximate and Stochastic Ising Machines

Abstract: The Ising model is useful in searching for (sub)-optimal solutions of combinatorial optimization problems (COPs). CMOS implementations of Ising model-based solvers, commonly referred to as ...
ascopubs.org

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...
Scientific Research Publishing

Lee, J., Yoon, T., Kwon, S. and Lee, J. (2019) Model Evaluation for Forecasting Traffic Accident Severity in Rainy Seasons Using Machine Learning Algorithms: Seoul City Study ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
Healio

Large language model may improve diagnosis of multiple sclerosis

Please provide your email address to receive an email when new articles are posted on . The model predicted MS diagnosis with 91.5% specificity and non-MS diagnosis with 100% specificity. However, it ...
GitHub

ising-model

A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and ...