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Fingerprint Dive into the research topics where Jae-sun Seo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
Hardware Engineering & Materials Science
Neural networks Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science
Networks (circuits) Engineering & Materials Science
Particle accelerators Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Neurons Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

A 1.06-μW Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring

Yin, S., Kim, M., Kadetotad, D., Liu, Y., Bae, C., Kim, S. J., Cao, Y. & Seo, J., Aug 1 2019, In : IEEE Journal of Solid-State Circuits. 54, 8, p. 2316-2326 11 p., 8713394.

Research output: Contribution to journalArticle

Biometrics
Electrocardiography
Authentication
Monitoring
Neural networks

A Real-Time 17-Scale Object Detection Accelerator with Adaptive 2000-Stage Classification in 65 nm CMOS

Kim, M., Mohanty, A., Kadetotad, D., Wei, L., He, X., Cao, Y. & Seo, J. S., Oct 2019, In : IEEE Transactions on Circuits and Systems I: Regular Papers. 66, 10, p. 3843-3853 11 p., 8741167.

Research output: Contribution to journalArticle

Natural language processing systems
CMOS integrated circuits
Object recognition
Learning algorithms
Particle accelerators

Cases for analog mixed signal computing integrated circuits for deep neural networks

Seok, M., Yang, M., Jiang, Z., Lazar, A. A. & Seo, J., Apr 1 2019, 2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019. Institute of Electrical and Electronics Engineers Inc., 8742044. (2019 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

integrated circuits
Integrated circuits
emerging
hybrid circuits
analogs

Corrigendum: Large-scale neuromorphic spiking array processors: A quest to mimic the brain (Frontiers in Neuroscience (2018) 12 (891) DOI: 10.3389/fnins.2018.00891)

Thakur, C. S., Molin, J. L., Cauwenberghs, G., Indiveri, G., Kumar, K., Qiao, N., Schemmel, J., Wang, R., Chicca, E., Hasler, J. O., Seo, J., Yu, S., Cao, Y., Van Schaik, A. & Etienne-Cummings, R., Jan 1 2019, In : Frontiers in Neuroscience. 13, JAN, 991.

Research output: Contribution to journalComment/debate

Open Access
Neurosciences
Neurons
Neuronal Plasticity
Brain
corrigendum

Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview

Chen, C. Y., Murmann, B., Seo, J. & Yoo, H. J., Jun 1 2019, In : IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9, 2, p. 247-252 6 p., 8720273.

Research output: Contribution to journalArticle

Networks (circuits)
Learning algorithms
Demonstrations
Hardware
Deep learning

Projects 2015 2022