Abstract: Deep reinforcement learning (DRL) traffic control attracts increasing interest since it is widely viewed as a powerful tool for alleviating congestion that significantly impacts people’s ...

The DFRobot LoRaWAN Control Terminal is a compact, DIN-rail mountable industrial IIoT terminal that features long-range LoRaWAN connectivity with local sensing and control capabilities. It’s designed ...

Microsoft's New On-Device AI Model Can Control Your PC The 16.6GB 'Fara-7B' model is smart enough to handle buying something online or booking online travel on behalf of the user. Importantly, it runs ...

MILTON — Every November, a group of model train enthusiasts descends on the Milton House Museum, taking hours to set up track on which miniature trains then weave in and around tiny scenery. On ...

Nov 5 (Reuters) - Apple (AAPL.O), opens new tab plans to use a 1.2 trillion-parameter artificial intelligence model developed by Alphabet's Google (GOOGL.O), opens new tab to help power a revamp of ...

An 00 Gauge model of Class 47/4 No. 47521 in Network SouthEast livery is being released by Kernow Model Rail Centre (KMRC). The model, produced by Bachmann exclusively for the Kernow Model Rail Centre ...

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...

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 ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.