Awards highlight engineering and infrastructure users of Bentley's digital twin solutions who are using data to transform ...

YouTube episodes, Gameloft mobile game, physical/digital drops, fan co-creation, early revenue, nearly a billion social views ...

Prioritizing clear labels, circular materials and policies that support recycling infrastructure helps to build stronger ...

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

At SlatorCon Silicon Valley 2025, Cohere’s Multilingual Team Lead shared an inside look at building multilingual LLMs and ...

The primary work of an experimental model basin is the estimation, with reasonable accuracy, of the resistance and horse-power of full-sized ships from experiments with small and inexpensive models.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Dynamic Causal Modeling (DCM) is a powerful method for inferring the causal structure of dynamic neural systems by estimating effective ... the DCM/PEB framework builds upon the results of General ...

The FSD system does many things well, but identifying road debris isn’t one of them. But the tech remains susceptible to unpredictable hazards that could be avoided if a human were fully in control.

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 ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...