Sensitivity analysis in finance is a way of looking at the influence of independent variables on dependent ones. Read on to learn how this is useful.

RiskRubric provides a six-pillar framework to quantify AI model risk, guiding secure, compliant adoption with evidence-based ...

Around the world, tens of thousands of dams, weirs, and culverts fragment rivers and block fish migration routes, posing serious threats to aquatic biodiversity. Although many fish passages have been ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

This article has been updated with comment from lead counsel in the Raine family’s wrongful death lawsuit against OpenAI. OpenAI said Tuesday it plans to route sensitive conversations to reasoning ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Two months after Apple CEO Tim Cook sat down at Donald Trump’s inauguration, several hundred employees at an Apple subcontractor in Barcelona received a new memo. The memo — in the form of fresh ...

Abstract: The subthreshold swing (SS) of conventional field-effect transistors (FETs) is fundamentally limited to 60 mV/dec at room temperature, which significantly constrains the sensitivity of ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

ABSTRACT: Musculoskeletal disorders (MSDs) are prevalent among workers in industrialized countries, reducing productivity, affecting business profitability, and causing personal discomfort. Poor ...

Abstract: Model inference systems are essential for implementing end-to-end data analytics pipelines that deliver the benefits of machine learning models to users. Existing cloud-based model inference ...