Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

A clear, data-focused look at how GA4 Attribution Paths help advertisers validate Smart Bidding, prove assist value, and ...

In the traditional view, affordances exist as options users perceive and act upon within their environment. However, in the age of genAI, affordances have become relational folds, dynamic exchanges in ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Background: Urosepsis is a subset of sepsis with a high mortality rate. Currently, the ranking of urosepsis in sepsis etiology is on the rise. Our goal is to use machine learning (ML) methods to ...

As more patent, trade secret, and other IP-related cases involving AI make their way through US courts, counsel and the judges overseeing those cases need to consider highly nuanced discovery and ...

Abstract: In the development and verification of safety-critical and safety-related Instrumentation and Control (I&C) systems, it is essential to ensure there is no deviation from the requirements of ...