A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Substrate inhibition is a longstanding bottleneck in microbial fermentation, particularly in lactic acid bacteria, where ...

With up to 90% of pipeline drugs facing significant solubility challenges, data and predictive tools for preclinical solubility and bioavailability enhancement are becoming increasingly strategic.

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

Pharmaceutical companies follow strict quality standards, and if a drug’s stability falters at any point – whether during development, storage, or shipping, it can undo all the work that’s gone into ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

Biotech company Likarda has launched Predictive Polymer Analytics (PPA), a next-generation platform powered by artificial intelligence (AI) that accelerates and de-risks the formulation design process ...

NEW YORK — Ingredion Inc., Westchester, Ill., is developing predictive artificial intelligence (AI) tools to speed innovation and identify new opportunities for growth. Executives speaking at the ...