Category Archives: News

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A Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

Check out some new and cool work we’ve been involved in that was just published in the Frontiers in Neuroscience.

Citation: Xinjie Guo, Farnood Merrikh-Bayat, Ligang Gao, Fabien Alibart, Brian Hoskins, Luke Theogarajan, Christof Teuscher, Bernabe Linares-Barranco, Dmitri Strukov, Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits, Frontiers in Neuroscience, 9(00488), 2015. DOI: http://dx.doi.org/10.3389/fnins.2015.00488

Abstract: The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of precision. Major shortcomings affecting the ADC’s precision, such as the non-ideal behavior of CMOS circuitry and the specific limitations of memristors, were investigated and an effective solution was proposed, capitalizing on the in-field programmability of memristors. The theoretical work was validated experimentally by demonstrating the successful operation of a 4-bit ADC circuit implemented with discrete Pt/TiO2−x/Pt memristors and CMOS integrated circuit components.

Updated MATLAB Random Boolean Network Toolbox

Andrew Boysen at UPENN is maintaining a more recent and updated branch of our “legacy” MATLAB RBN toolbox. His code is available on GitHub: https://github.com/CSFive/MATLAB_Kauffman_NK_Random_Boolean_Network

 

Computational capacity and energy consumption of complex resistive switch networks

Check out our latest paper on the “Computational capacity and energy consumption of complex resistive switch networks.” Open access URL: http://dx.doi.org/10.3934/matersci.2015.4.530

The results are relevant for the design and fabrication of novel computing architectures that harness random assemblies of emerging nanodevices.

 

Jeff presents at 17th Annual SRC TECHCON conference

Three PSU students joined the nation’s top semiconductor scholars and industry leaders to share their research at the Semiconductor Research Corporation’s (SRC) 17th annual TECHCON conference. The conference, held Sept. 20-22 in Austin, Texas, showcased the forefront of semiconductor research and recognized professional and university participants for their contributions to the industry.

tlab student Jeff Udall  was among the 250 undergraduate and graduate students invited from top-flight universities across the country to present their research at the conference. The students from SRC’s Undergraduate Research Opportunities program provides hands-on research and mentorship to attract students to semiconductor industry careers. Their attendance was made possible through the support of Intel Foundation, GLOBALFOUNDRIES, STARnet and SRC Education Alliance.

The papers selected for presentation at TECHCON represent a summary of the best research in SRC’s portfolio across all of the organization’s research programs. To be invited, students submitted an abstract of a research project for review by an SRC-coordinated committee, which selected projects based on rigorous and competitive criteria.

TECHCON brings university students from a variety of science and engineering majors together with scholars and leaders from the semiconductor industry to explore cutting-edge silicon-based research and network with other students and professionals. Altogether, more than 455 attendees participated in the 2015 conference.

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