Research Output per year
Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 3 Similar Profiles
Equalizers
Engineering & Materials Science
Energy dissipation
Engineering & Materials Science
Error compensation
Engineering & Materials Science
Electric potential
Engineering & Materials Science
Networks (circuits)
Engineering & Materials Science
Energy efficiency
Engineering & Materials Science
Decoding
Engineering & Materials Science
Throughput
Engineering & Materials Science
Network
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Research Output 1988 2019
Accumulation bit-width scaling for ultra-low precision training of deep networks
Sakr, C., Wang, N., Chen, C. Y., Choi, J., Agrawal, A., Shanbhag, N. R. & Gopalakrishnan, K., Jan 1 2019.Research output: Contribution to conference › Paper
scaling
Optimal systems
Chemical activation
Hardware
floating
An energy-efficient classifier via boosted spin channel networks
Patil, A. D., Manipatruni, S., Nikonov, D., Young, I. A. & Shanbhag, N. R., Jan 1 2019, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8702648. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Classifiers
Adaptive boosting
Learning algorithms
Throughput
Networks (circuits)
An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms
Kang, M., Srivastava, P., Adve, V., Kim, N. S. & Shanbhag, N. R., Sep 1 2019, In : IEEE Micro. 39, 5, p. 64-72 9 p., 8768342.Research output: Contribution to journal › Article
High level languages
Learning algorithms
Particle accelerators
Energy efficiency
Learning systems
An MRAM-based deep in-memory architecture for deep neural networks
Patil, A. D., Hua, H., Gonugondla, S., Kang, M. & Shanbhag, N. R., Jan 1 2019, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8702206. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Memory architecture
Networks (circuits)
Deep neural networks
Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care
Chung, H. U., Kim, B. H., Lee, J. Y., Lee, J., Xie, Z., Ibler, E. M., Lee, K. H., Banks, A., Jeong, J. Y., Kim, J., Ogle, C., Grande, D., Yu, Y., Jang, H., Assem, P., Ryu, D., Kwak, J. W., Namkoong, M., Park, J. B., Lee, Y. & 25 others, , Jan 1 2019, In : Science. 363, 6430Research output: Contribution to journal › Article
Open Access
Neonatal Intensive Care
Neonatal Intensive Care Units
Skin
Vital Signs
Diagnostic Imaging