Computer Sciences

Researchers create digital humans that learn complex movements

Researchers at Meta's Artificial Intelligence Research Lab (Facebook) in the U.S. and at the University of Twente's Neuromechanical Modelling and Engineering Lab in the Netherlands (led by Prof.dr.ir Massimo Sartori), have ...

Energy & Green Tech

Smart grids: Enhancing resilience

Robustness of urban infrastructures in situations of crisis mainly depends on stable power supply. This is a particular challenge when planning future smart grids that have to cope with volatile conditions anyway. Smart grids ...

Machine learning & AI

Neural networks enable autonomous navigation of catheters

When a patient has a stroke, every minute counts. Here, prompt action can prevent serious brain damage. If a clot is blocking a large blood vessel in the brain, surgeons can remove this occlusion by means of a catheter inserted ...

Computer Sciences

Designing lightweight glass for efficient cars and wind turbines

A new machine-learning algorithm for exploring lightweight, very stiff glass compositions can help design next-gen materials for more efficient vehicles and wind turbines. Glasses can reinforce polymers to generate composite ...

Computer Sciences

Expecting the unexpected: A new model for cognition

Cognitive scientists are modeling the inner workings of the human brain using computer simulations, but many current models tend to be inaccurate. Researchers in the Cognitive Neurorobotics Unit at the Okinawa Institute of ...

Energy & Green Tech

Blueprint may power up Saudi Arabia's wind energy future

A five-year study of wind energy potential in Saudi Arabia has culminated in a comprehensive blueprint for progressing the Kingdom's national wind energy strategy. Exhaustive high-resolution modeling was combined with a unique ...

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Simulation & Modeling for Acquisition, Requirements, and Trainin

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA