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

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 ...

Automotive

AI to help drive engine efficiencies on the road

Researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy and ...

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Simulation

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