They’re tenacious, which is very good for a milk jug or a car bumper. But they don’t easily break down, which is bad for the environment. From the 1950s, when plastics were first produced in ...

Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

What most teams miss is that adoption is decided by incentives, not just architecture. For financial institutions, these digital identity systems live or die on the day-to-day reality of identity ...

The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...

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 ...

Analyst Insight: As 2025 comes to an end, one reality has become clear: The traditional linear product lifecycle management model has reached its limits. For years, PLM served retailers well by ...

The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...