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Centre for Artificial General Intelligence and Neuromorphic Systems (NeuroAGI)

Towards AI Computing Hardware and Systems - Analog Computing Solutions 

What we work on?

1

Emerging Neural Circuits and Systems

Memristive systems, Crossbar arrays, Hardware implementation of deep learning systems, AI hardware.

2

Unconventional computing hardware and quantum systems

Nature inspired computing, quantum aware-neural designs, cryptanalysis hardware

3

Predicting the future - vision, speech

Predictive filters, image fusion, big data mining, multimodal inference engine, smart cameras

Our Team

The research and development team in NeuroAGI

Neuro-Memristor Systems, Imaging, AI Hardware
https://orcid.org/0000-0001-5655-1213

Memristor Systems, Logic Systems

Embedded Systems and Electronics

Deep Learning, Embedded Systems

Deep Learning, and Machine Learning
https://orcid.org/0000-0002-1086-1870

Deep Learning, Embedded Systems

Deep Learning, Hardware AI
https://orcid.org/0000-0001-5119-7227

Deep Learning, and Machine Learning

Applied Economics

Computer Vision

VLSI

Algorithms

Computer Vision

Signal Processing, Communications
https://orcid.org/0000-0002-3658-8307 

Computer Vision

Industry Collaborators

NLP

Embedded Systems and Electronics

NeuroAGI Weekly Webinars

Mobirise

Chip Design Process Flow in Aerospace Domain - Snoy Francis, Collins Aerospace
Recording URL:

Life towards dignity - Sana Suman, General Electric (GE), John F. Welch Technology Centre (JFWTC)
Recording URL:

Mobirise
Mobirise

How IoT & connectivity can be made a competitive advantage - Rahul Vijay, Uber
Recording URL: https://www.anymeeting.com/498-856-341/EA51D686874B3E

Hope is not a strategy - Rishikesh KB, Christ University
Recording URL: https://www.anymeeting.com/161-867-094/EA51D681844A38

Mobirise
Mobirise

CircuitDesign for 20Gbps SerDes, - Dr Javed GS, King Consultants - Education
Recording URL: https://www.anymeeting.com/408-345-168/EA51D786844E31

Recent News

Latest papers from NeuroAGI

Authors TitlePublicationYear
S. Panja, A.K. Maan, A.P. JamesVilokana - Lightweight COVID19 Document AnalysisIEEE Midwest Symposium on Circuits and Systems2020
A.P. JamesTowards Strong AI with Analog Neural ChipsIEEE International Symposium on Circuits and Systems2020
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Research Contributions

Selected Publications
A.P. James, “A hybrid memristor–CMOS chip for AI", Nature Electronics, 2019 doi: 10.1038/s41928-019-0274-6
A.P. James, "An overview of memristive cryptography", European Physical Journal: Special Topics, “Special Issue on Memristor-based systems: Nonlinearity, dynamics and application”, 2019. 
O. Krestinskaya, B. Choubay, A.P. James, “Memristive GAN in Analog", Nature Scientific Reports, 2020
K. Aliakhmet and A. P. James, "Temporal G-Neighbor Filtering for Analog Domain Noise Reduction in Astronomical Videos," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 5, pp. 868-872, May 2019.doi: 10.1109/TCSII.2019.2907817  
O. Krestinskaya, K. N. Salama and A. P. James, "Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 2, pp. 719-732, Feb. 2019. doi: 10.1109/TCSI.2018.2866510 
K. Smagulova, O. Krestinskaya, and A. P. James, "Who is the winner? Memristive-CMOS hybrid modules: CNN-LSTM versus HTM", IEEE Transactions on Biomedical Circuits and Systems, 2020
D. Sadykova, D. Pernebayeva, M. Bagheri and A. James, "IN-YOLO: Real-time Detection of Outdoor High Voltage Insulators using UAV Imaging," in IEEE Transactions on Power Delivery. 2020, doi: 10.1109/TPWRD.2019.2944741
O. Krestinskaya, A. P. James and L. O. Chua, "Neuromemristive Circuits for Edge Computing: A Review," in IEEE Transactions on Neural Networks and Learning Systems., 2020 doi: 10.1109/TNNLS.2019.2899262  
O. Krestinskaya, T. Ibrayev and A. P. James, "Hierarchical Temporal Memory Features with Memristor Logic Circuits for Pattern Recognition," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 6, pp. 1143-1156, June 2018. doi: 10.1109/TCAD.2017.2748024 
A. K. Maan, D. A. Jayadevi and A. P. James, "A Survey of Memristive Threshold Logic Circuits," in IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1734-1746, Aug. 2017. doi: 10.1109/TNNLS.2016.2547842  
O. Krestinskaya, I. Dolzhikova and A. P. James, "Hierarchical Temporal Memory Using Memristor Networks: A Survey," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, no. 5, pp. 380-395, Oct. 2018. doi: 10.1109/TETCI.2018.2838124
Maan, A.K., Kumar, D.S., Sugathan, S. and James, A.P.., "Memristive threshold logic circuit design of fast moving object detection", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 10, 2015, pp. 2337–2341 
A. P. James, D. S. Kumar and A. Ajayan, "Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2014  
A. P. James, L. R. V. Francis and D. S. Kumar, "Resistive threshold logic", Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, vol. 22, no. 1, 2014, pp. 190–195
J. Mathew, A. Zollanvari and A. P. James, "Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity", IEEE Access, vol. 6, 2018, pp. 3433–3447  
Dastanova, N., Duisenbay, S., Krestinskaya, O. and James, A.P.. "Bit-plane extracted moving-object detection using memristive crossbar-cam arrays for edge computing image devices." IEEE Access 6 (2018): 18954-18966.  
D. Bakir, A. P. James and A. Zollanvari, "An efficient method to estimate the optimum regularization parameter in RLDA", Bioinformatics, vol. 32, no. 22, 2016, pp. 3461–3468 
S. Sudhakaran, A. P. James, "Sparse distributed localized gradient fused features of objects", Pattern Recognition, vol. 48, no. 4, 2015, pp. 1538–1546 
J. J. Mathew, A. P. James, "Spatial stimuli gradient sketch model", IEEE Signal Processing Letters, vol. 22, no. 9, 2015, pp. 1336–1339 
A. James, B. Dasarathy, "Medical Image Fusion: A survey of the state of the art", Information Fusion, 2014  
A. P. James, "Heart rate monitoring using human speech spectral features", Human-centric Computing and Information Sciences, vol. 5, no. 33, 2015.  
A. K. Maan, A. P. James and S. Dimitrijev, "Memristor pattern recogniser: isolated speech word recognition", IET Electronics Letters, vol. 51, no. 17, 2015, pp. 1370–1372. 
O. Krestinskaya, A. Irmanova and A. P. James, "Memristive Non-Idealities: Is There Any Practical Implications for Designing Neural Network Chips?", in IEEE International Symposium on Circuits and Systems, 2019.
A. Dorzhigulov, A. P. James, "Generalized Bell-Shaped Membership Function Generation Circuit for Memristive Neural Networks", in IEEE International Symposium on Circuits and Systems, 2019
Y. Akhmetov, A. P. James, "Probabilistic Neural Network with Memristive Crossbar Circuits", in IEEE International Symposium on Circuits and Systems, 2019
A. P. James, V. Kizheppatt and B. Choubey, "Reconfigurable Threshold Logic Networks in FPGA for Moving Object Detection", in 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019.
F. P. Sijin, J. Mathew, A.P. James, "Extended Neighbourhood Filter for LDR Displays", in 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019.
O. Krestinskaya, A. P. James, "Binarized Neural Network with Stochastic Memristors", in 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).
O. Krestinskaya, O. Otaniyozov and A. P. James, "AnalogHTM: Memristive Spatial Pooler Learning with Backpropagation", in 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
O. Krestinskaya, A. Bakambekova and A. P. James, "AMSNet: Analog Memristive System Architecture for Mean-Pooling with Dropout Convolutional Neural Network", in 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
O. Krestinskaya, A. Maan and A. P. James, "Programmable Memristive Threshold Logic Gate Array", in IEEE Asia Pacific Conference on Circuits and Systems (IEEE APCCAS 2018)
A. Dorzhigulov, B. Choubey and A. P. James, "Current Controlled neuro-Fuzzy Membership Function Generation", in IEEE International Midwest Symposium on Circuits & Systems, 2018. 
D. Mikhailenko, A. P. James and K. Roy, "M^2CA: Modular Memristive Crossbar Arrays", in IEEE International Symposium on Circuits and Systems, 2018 
K. Adam, K. Smagulova and A. James, "Memristive LSTM network hardware architecture for time-series predictive modeling problems", in IEEE Asia Pacific Conference on Circuits and Systems, 2018
Y. Akhmetov, J. J. Mathew and A. P. James, "Variable pixel G-neighbor filters", in Circuits and Systems (ISCAS), 2017 IEEE International Symposium on, pp. 1–4 
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