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Maschinelle Intelligenz

Intelligente Systeme

Unsere jüngsten Forschungsfortschritte wurden durch unsere Arbeit an Bildsensoren und Entwicklungen im Bereich der künstlichen Intelligenz inspiriert. In unserem Reinraum in Siegen entwickelten wir eine eigene Art von Memristoren, die wir auch in eigene Siliziumschaltungen integrieren können. Parallel dazu entwerfen wir bildgebende Schaltungen, die diese auch nutzen können.

Wir sind stark daran interessiert, Edge AI mit analogen Schaltkreisen mit geringem Stromverbrauch zu realisieren, um die Sicherheitsbedenken von AI zu verringern und ihren Stromverbrauch zu reduzieren. Außerdem sind wir daran interessiert, Fortschritte in der KI - insbesondere der Edge AI - für Anwendungen auf den Finanzmärkten nutzen.

 

Full Papers:

  • @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Cambria; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536869121 1107305727 33554432 0 415 0;}@font-face {font-family:"Bell MT"; panose-1:2 2 5 3 6 3 5 2 3 3; mso-font-charset:77; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; mso-hyphenate:none; font-size:12.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman"; mso-fareast-language:EN-US;}p.Pub-List, li.Pub-List, div.Pub-List {mso-style-name:Pub-List; mso-style-unhide:no; mso-style-qformat:yes; margin:0cm; text-align:justify; line-height:17.0pt; mso-pagination:widow-orphan; mso-hyphenate:none; font-size:12.0pt; font-family:"Arial",sans-serif; mso-fareast-font-family:"Times New Roman"; mso-bidi-language:AR-SA; font-style:italic;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; mso-bidi-font-size:12.0pt; font-family:"Cambria",serif; mso-ascii-font-family:Cambria; mso-fareast-font-family:Cambria; mso-hansi-font-family:Cambria; mso-bidi-font-family:Cambria; mso-font-kerning:0pt; mso-ligatures:none; mso-ansi-language:EN-US; mso-fareast-language:EN-US; mso-bidi-language:AR-SA;}.MsoPapDefault {mso-style-type:export-only; mso-hyphenate:none;}div.WordSection1 {page:WordSection1;}ol {margin-bottom:0cm;}ul {margin-bottom:0cm;}B. Choubey, M. Moeller, H. Sommerhodd and A. Kolb, “Variable Layout CMOS Pixels for end-to-End Learning in Task Specific Image Sensors”, IEEE 6th International Conference on Artificial Intelligence Circuits and Systems, Abu Dhabi, 2024
  • Z. Li, P. Boerner, A. Bablich, P. Haring and B. Choubey, “Vibration May Break the Conductive Filament in Amorphous Germanium Based Memristor”, IEEE 6th International Conference on Artificial Intelligence Circuits and Systems, Abu Dhabi, 2024
  • V. V. Nair, C. Reghuvaran, D. John, B. Choubey and A. P. James, “ESSM: Extended Synaptic Sampling Machine with Stochastic Echo State Neuro-memristive Circuits”, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 4, pp 965 – 974, Dec. 2023
  • 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
 
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