Machine learning & AI
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 ...
Nov 4, 2019
1
6
Computer Sciences
Simulating the physics behind the movement of liquids and how fluids—thick or thin—interact with other objects is a key problem in visual effects. Bringing to life such scenarios as a brush stirring and spreading oil ...
Oct 31, 2019
0
48
Computer Sciences
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 ...
Oct 23, 2019
0
6
Robotics
Researchers have developed soft robotic devices driven by neuromuscular tissue that triggers when stimulated by light—bringing mechanical engineering one step closer to developing autonomous biobots.
Sep 16, 2019
0
2282
Energy & Green Tech
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 ...
Sep 18, 2018
0
0
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
