by Melissa Stine | May 26, 2021
Resistive random-access memory (RRAM) can be used for the hardware implementation of neural networks. RRAM crossbar array architectures have been proposed for implementing vector-matrix multiplication and machine learning algorithms. A printed circuit board (PCB)...
by Melissa Stine | May 26, 2021
Brain-inspired computing systems make use of electronic devices that act as artificial synapses. These synapses can be achieved using non-volatile memory (NVM) technologies and organized into arrays to construct neural networks that enable efficient...
by Melissa Stine | Feb 25, 2021
The Lightweight Machine 2 Machine (LwM2M) device management protocol (presentation and service layer) and the 5G 700MHz narrowband communications standard (data link and physical layer), in conjunction with TCP-IP, will provide macro-area wireless coverage and connect...
by Melissa Stine | Oct 6, 2020
This is a research project on novel sapphire-based high-speed nanopore sensing we are developing for detection of a variety of biomolecules. We will analyze simple DNA and protein molecules to characterize the nanopore sensor performance. This technology will be used...
by Melissa Stine | Dec 30, 2019
This project will develop algorithms for low power FPGA and microcontrollers for machine learning of various categories of sound. Algorithm training will be done on traditional computers with the trained algorithm implemented on an FPGA and microcontroller. The goal...
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