首页|Findings on Machine Learning Discussed by Investigators at Skolkovo Institute fo r Science and Technology (Application of Machine Learning Technique for a Fast F orecast of Aggregation Kinetics In Space-inhomogeneous Systems)
Findings on Machine Learning Discussed by Investigators at Skolkovo Institute fo r Science and Technology (Application of Machine Learning Technique for a Fast F orecast of Aggregation Kinetics In Space-inhomogeneous Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news reporting originating from Moscow, Russia, by NewsRx correspondents, research stated, “Modelling of aggregation processes in s pace-inhomogeneous systems is extremely numerically challenging since complicate d aggregation equations, Smoluchowski equations, are to be solved at each space point along with the computation of particle propagation.Low rank approximation for the aggregation kernels can significantly speed up the solution of Smolucho wski equations, while the particle propagation could be done in parallel.”Financial support for this research came from Russian Science Foundation (RSF).
MoscowRussiaCyborgsEmerging Techno logiesMachine LearningSkolkovo Institute for Science and Technology
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