NatureOpinion

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Google, DressX And The New Fashion AI Virtual Try-On Stack

How DRESSX, Google and NVIDIA are reshaping fashion AI, virtual try-on and ecommerce as brands chase better fit, fewer ...
eLife

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Investopedia

Understanding the Modigliani-Miller Theorem: An Investor's Guide

Dr. JeFreda R. Brown is a financial consultant, Certified Financial Education Instructor, and researcher who has assisted thousands of clients over a more than two-decade career. She is the CEO of ...
IEEE

An Internal Model Principle for Biochemical Networks: Algebraic and Topological Characterization for Maximal Robust Perfect Adaptation

Abstract: Living biological cells must tightly regulate an abundance of key biomolecular species to survive and perform their physiological functions. Given that a cell’s internal environment is ...
GitHub

Storm - A Modern Probabilistic Model Checker

Various benchmarks together with example invocations of Storm can be found at the Quantitative Verification Benchmark Set (QVBS). Additional input files for Storm can be obtained from the ...
IEEE

Petri-Net-Based Partial Order Reduction for Model Checking Temporal Epistemic Logic on Multiagent Systems

Abstract: Recent years have witnessed extensive research on verifying multiagent system (MAS) properties, with model checking emerging as the predominant validation technique in this domain. The ...