The Stute

What they don’t teach you in class

There’s a lot college teaches you — how to survive on three hours of sleep, how to cry in the library without anyone noticing, and maybe even some engineering. But when I started my co-op, I quickly ...
The Lancet

Physician input improves generative artificial intelligence models’ diagnostic performance in solving complex clinical cases

Misdiagnosis remains a substantial patient safety challenge. Harmful diagnostic errors are estimated to occur in one in every 14 patients presenting to general medical hospitals.1 Generative ...
IEEE

Bootstrap-Driven Adaptive Resampling for Enhanced Solutions of Second-Order Differential Equations in RLC Circuits Using PINNs

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
GitHub

[hp-VPINNs: Variational Physics Informed Neural Networks With Domain Decomposition]

We introduce the variational physics informed neural networks – a general framework to solve differential equations. For more information, please refer to the following: Kharazmi, Ehsan, Zhongqiang ...
GitHub

differential-equations

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...