R
Rathinakumar Appuswamy
Researcher at IBM
Publications - 52
Citations - 5824
Rathinakumar Appuswamy is an academic researcher from IBM. The author has contributed to research in topics: Linear network coding & TrueNorth. The author has an hindex of 18, co-authored 51 publications receiving 4506 citations. Previous affiliations of Rathinakumar Appuswamy include Indian Institute of Technology Kanpur & University of California, San Diego.
Papers
More filters
Patent
Scene understanding using a neurosynaptic system
Alexander Andreopoulos,Rathinakumar Appuswamy,Pallab Datta,Steven K. Esser,Dharmendra S. Modha +4 more
TL;DR: In this article, a method for scene understanding based on a sequence of image frames is proposed, which comprises converting each pixel of each image frame to neural spikes, and extracting features from the sequence of images by processing neural spikes corresponding to pixels of the image frames.
Patent
Neuromorphic hardware for neuronal computation and non-neuronal computation
Alvarez-Icaza Rivera Rodrigo,Rathinakumar Appuswamy,John V. Arthur,Andrew S. Cassidy,Bryan L. Jackson,Paul A. Merolla,Dharmendra S. Modha,Jun Sawada +7 more
TL;DR: In this paper, a neurosynaptic system consisting of a delay unit for receiving and buffering axonal inputs, and a neural computation unit for generating neuronal outputs by performing a set of computations based on at least one axonal input received by the delay unit is described.
Patent
Classifying features using a neurosynaptic system
TL;DR: In this paper, the authors proposed a method comprising receiving a set of features extracted from input data, training a linear classifier based on the set of feature extracted, and generating a first matrix using the linear classifiers.
Patent
Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate
Arnon Amir,Rathinakumar Appuswamy,Pallab Datta,Benjamin G. Shaw,Myron D. Flickner,Paul A. Merolla,Dharmendra S. Modha +6 more
TL;DR: In this paper, the authors propose a system for mapping a neural network onto a neurosynaptic substrate, which comprises a reordering unit for reordering at least one dimension of an adjacency matrix representation of the neural network, and an evaluating unit for evaluating each mapped portion against each criterion.
Posted Content
Network Coding for Computing Part I : Cut-Set Bounds
TL;DR: A system for performing packet based data communications over a parallel set of sublinks is provided and the transmitter avoids processing delays by utilizing sublinks in the available sublink set and not waiting for sub links in the busy sublinks set to be released.