no code implementations • 29 Jul 2022 • Mee Seong Im, Venkat R. Dasari
Deep neural networks (DNN) have been widely used and play a major role in the field of computer vision and autonomous navigation.
1 code implementation • 1 Mar 2021 • Alperen Görmez, Venkat R. Dasari, Erdem Koyuncu
Moreover, if there are no limitations on the training time budget, E$^2$CM can be combined with an existing early exit scheme to boost the latter's performance, achieving a better trade-off between computational cost and network accuracy.
no code implementations • 27 May 2020 • Mee Seong Im, Venkat R. Dasari
Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive.
no code implementations • 17 Nov 2019 • Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj
We describe a generic mathematical model to leverage quantum parallelism to speed-up machine learning algorithms.
no code implementations • 13 Feb 2019 • Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj, Dale Shires
In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions.
no code implementations • 29 Aug 2018 • Venkat R. Dasari, Mee Seong Im, Billy Geerhart
There is a subset of computational problems that are computable in polynomial time for which an existing algorithm may not complete due to a lack of high performance technology on a mission field.