Explore the Unbuilt Award 2026, which offers a €100,000 prize fund, and discover the winners of the competition's 2025 ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Muscles are remarkably effective systems for generating controlled force, and engineers developing hardware for robots or ...

To break through development bottlenecks, we must construct a multi-dimensional, networked ecosystem defined by shared ...

The old measurements of leverage, utilization, margin, billing rate, and realization fall short of the new reality.

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Meta's Muse Spark brings multimodal reasoning, health AI, and multi-agent orchestration to users via meta.ai and a private ...

by Karri Saarinen in Thesis Karri Saarinen has spent his career—at Airbnb and Coinbase, and now as CEO of Linear—crafting ...

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 ...