Ab3tract Intelligence has been envisioned as a. key component of future problem solving environments for scientific compuling. This paper describes a computationally intelligent approach to address a major problem in scientific computation i.e., the efficient solution of partial differential equations (PDEs). This approach is implemented in PYTHIA-a system that supports smart parallel PDE solve...

This paper emphasizes the importance of assessing stability index for steering-controlled three-wheeled walkers. The paper describes a stability computation model that can be used to generate a reference input to the intelligent sharedcontrol algorithm. The model can be used to evaluate the instantaneous stability margin of the walker-user system. This knowledge of the online stability of the w...

We describe an experience of the Kiev schools on analytical transformations and automated deduction with respect to intelligent testing of knowledge obtained through distant learning with or without the use of electronic textbooks. Leaving aside the simple "choose from prescribed answers" tests, intelligent testing of two kinds is considered: one of them relies on symbolic computation and the o...

RUNYAO DUAN Centre for Quantum Computation and Intelligent Systems (QCIS), Faculty of Engineering and Information Technology, University of Technology, Sydney (UTS), NSW 2007, Australia and State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 10...

As the population in cities continues to increase, large-city problems, including traffic congestion and environmental pollution, have become increasingly serious. The construction of smart can relieve promote economic growth, improve quality life for citizens. Intelligent transportation is one most important issues that aims make safe, efficient, environmentally friendly. There exist many opti...

Yangjia Li and Mingsheng Ying State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China Centre for Quantum Computation and Intelligent Systems (QCIS), Faculty of Engineering and Information Technology, University of Technology, Sydney, ...

Nengkun Yu,∗ Runyao Duan,† and Mingsheng Ying‡ State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China and Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Techno...

For achieving efficient data aggregation and energy supply in Internet of Things, this paper investigates the optimal design for an intelligent reflecting surface (IRS)-aided backscatter sensor network with over-the-air computation (AirComp). To ensure accuracy aggregation, presents a mean-squared error (MSE) minimization problem via jointly optimizing normalization factor, power splitting rati...

In this work, a data-driven methodology for modeling combustion kinetics, Learned Intelligent Tabulation (LIT), is presented. LIT aims to accelerate the tabulation of mechanisms via machine learning algorithms such as Deep Neural Networks (DNNs). The high-dimensional composition space sampled from high-fidelity simulations covering wide range initial conditions train these DNNs. input data are ...