Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Paulson School of Engineering and Applied Sciences (SEAS) created an AI-powered control system that allows quadruped robots ...

A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Two-dimensional perovskites are often seen as leading candidates for future LEDs and solar cells ...

The military cloud computing market offers significant opportunities through enhanced real-time data access, improved ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

An industrial controller brings AI to machines, enabling local data processing and support for robotics, machine vision and ...

Data center load shifting is an effective demand flexibility strategy to minimize peak demand for data centers through aggregate conservation. Last November, CNBC reported that data centers alone are ...

Abstract: Model predictive control (MPC) has become a practical approach for implementing active safety control strategies in autonomous vehicles (AVs). This article introduces a Fast Iterative MPC ...

For investors, the 2026 World Cup is a deployment of some of the technologies driving the next structural growth cycle within ...