Check out our latest publication: Macias Nicholas Jesse, Teuscher Christof, Durbeck Lisa J. K, Design of Introspective Circuits for Analysis of Cell-Level Dis-orientation in Self-Assembled Cellular Systems, Frontiers in Robotics and AI, 3(2), 2016, http://dx.doi.org/10.3389/frobt.2016.00002
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.
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
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.
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.
Interested to do paid research as an undergraduate? Interested to have a unique experience on your resume? MCECS has a great Undergraduate Research and Mentoring Program (URMP) through which you can get involved in many projects in our lab. Take a look at some sample projects.
The application deadline for the next round is Oct 11, 2015. Please contact me if you are interested.
Former tlab and Saturday Academy ASE summer interns Anusha Asnodkar and Lukas Schwab join ivy league universities. Anusha is studying computer science at Caltech and Lukas at UC Berkeley. Congrats and good luck in your careers!
- W. Woods, J. Burger, and C. Teuscher. Synaptic Weight States in a Locally Competitive Algorithm for Neuromorphic Memristive Hardware. IEEE Transactions on Nanotechnology, 2015. DOI: http://dx.doi.org/10.1109/TNANO.2015.2449835. In press.
- J. Burger, A. Goudarzi, D. Stefanovic, and
C. Teuscher. Hierarchical Composition of Memristive Networks for Real-Time Computing. Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp 33-38, 2015. DOI: 10.1109/NANOARCH.2015.7180583
- W. Woods, M. M. A. Taha, D. Tran, J. Burger,
and C. Teuscher. Memristor Panic — A Survey of Different Device Models in Crossbar Architectures. Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp 106-111, 2015. DOI: 10.1109/NANOARCH.2015.7180595