no code implementations • 30 Apr 2023 • Mikhail Genkin, J. J. McArthur
Energy optimization leveraging artificially intelligent algorithms has been proven effective.
no code implementations • 17 Mar 2023 • Mikhail Genkin, Frank Dehne, Anousheh Shahmirza, Pablo Navarro, Siyu Zhou
This paper presents KERMIT - the autonomic architecture for big data capable of automatically tuning Apache Spark and Hadoop on-line, and achieving performance results 30% faster than rule-of-thumb tuning by a human administrator and up to 92% as fast as the fastest possible tuning established by performing an exhaustive search of the tuning parameter space.
no code implementations • 6 Nov 2022 • Mikhail Genkin, J. J. McArthur
The pervasive application of artificial intelligence and machine learning algorithms is transforming many industries and aspects of the human experience.
2 code implementations • 29 Dec 2020 • Mikhail Genkin, Owen Hughes, Tatiana A. Engel
Here we present a non-parametric framework for inferring the Langevin equation, which explicitly models the stochastic observation process and non-stationary latent dynamics.