Seven open problems in applied combinatorics

no code implementations • 20 Mar 2023 • Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young

We present and discuss seven different open problems in applied combinatorics.

Topological Data Analysis

Neuromorphic Computing is Turing-Complete

no code implementations • 28 Apr 2021 • Prasanna Date, Catherine Schuman, Bill Kay, Thomas Potok

Given that the {\mu}-recursive functions and operators are precisely the ones that can be computed using a Turing machine, this work establishes the Turing-completeness of neuromorphic computing.

Autonomous Vehicles BIG-bench Machine Learning +1

A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset

no code implementations • 29 Dec 2020 • Miki E. Verma, Robert A. Bridges, Michael D. Iannacone, Samuel C. Hollifield, Pablo Moriano, Steven C. Hespeler, Bill Kay, Frank L. Combs

Current public CAN IDS datasets are limited to real fabrication (simple message injection) attacks and simulated attacks often in synthetic data, which lack fidelity.

Anomaly Detection Benchmarking +2

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment

no code implementations • 21 Apr 2020 • Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy

In this work, we introduce a Bayesian approach for optimizing the hyperparameters of an algorithm for training binary communication networks that can be deployed to neuromorphic hardware.

Hyperparameter Optimization