Machine Intelligence
Our recent research progress has been inspired by our work in image sensors and developments in Artifical Intelligence. We have been exploring developmens with Memristors for integration with our own silicon circuits. In our cleanroom in Siegen, we have developed our own breed of Memristors and are currently designing imaging circuits which can utilise them. We are interested in making Edge AI with low power analogue circuits, to reduce the security concerns of AI as well as to reduce its power footprint.
In parallel, we are also interested in utilising new advances in AI, particularly edge AI for applications in financial markets.
Full Papers
- A.R. Aswani, P. Sruthi, B. Choubey and A. P. James, "Bridge Memristor Super-resolution Crossbars”, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 4, pp. 944-951, Dec. 2022
- D. H. Nguyen, P.C.P. Chao, C.C. Chung, R.H. Horng and B. Choubey, “Detecting Atrial Fibrillation in Real Time Based on PPG via Two CNNs for Quality Assessment and Detection”, in IEEE Sensors Journal, vol. 22, no. 24, pp. 24102-24111, Dec, 2022>>
- Z. Li, P. D. Börner, H. Schmidt, P. Haring-Bolivar and B. Choubey“Bidirectional transition between threshold and bipolar switching in Ag/SiO2/ITO memristors”, in Proceedings of the 22nd IEEE International Conference on Nanotechnology, 2022
- R. Busch, M. Wahl and B. Choubey, Proceedings of the SPIE- 12496, Metrology, Inspection, and Process Control XXXVII, Advanced Lithography and Patterning, San Jose, March 2023
- M. Diwan, Z. Li, G. Shiele and B. Choubey, “Balanced Ternary Logic Gates with Memristors”, in Proceedings of the 29th IEEE International Conference on Electronics, Circuits & System, 2022
- R. Busch, M. Wahl and B. Choubey, “Yield prediction with Machine Learning and parameter limits in semiconductor production”, in the Proceedings of the International Symposium on Semiconductor Manufacturing, 2022
- S. S. Chen, B. Choubey and V. Singh, “A neural network based price sensitive recommender model to predict customer choice based on price effect”, in the Journal of Retailing and Consumer Services, Vol. 61, July 2021
- N. Du, X. Zhao, Z. Chen, B. Choubey, M. Di Ventra, I. Skorupa, D. Bürger and H. Schmidt, “Synaptic plasticity in memristive artificial synapses and their robustness against noisy inputs”, Accepted for publication in Frontiers in Neuroscience, July 2021
- O. Krestinskaya, B. Choubey and A.P. James, “Memristive GAN in Analog", Scientific Reports, Vol. 10, Article number 5838, 2020
- V. Kizheppatt, B. Choubey and A. P. James. “Reconfigurable Threshold Logic Networks in FPGA for Moving Object Detection”, in Proceedings of the IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Dallas, USA, 2019
- O. Krestinskaya, B. Choubey and A. P. James. Reconfigurable Threshold Logic Networks in FPGA for Moving Object Detection “AM- DCGAN: Analog Memristive Hardware Accelerator for Deep Convolutional” in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Hokkaido, Japan, 2019
- Anuar Dorzhigulov, B. Choubey and A. P. James, “Current Controlled neuro-Fuzzy Membership Function Generation”, in Proceedings of IEEE 61st International Midwest Symposium on Circuits and Systems, 2018