2022

  1. Three papers from our group accepted in ECCV 2022. Congrats to all authors and collaborators! Paper 1 Paper 2 Paper 3

  2. Prof. Panda receives the 2022 Google Research Scholar Award for work in Robust and Distributed learning in Spiking Neural Networks in the field of Machine Perception.

  3. Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at the Fuerberg Workshop on Hybrid AI- combining deep learning, symbolic and neuromorphic.-Jul. 2022

  4. Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Deepmind meeting on spiking networks.-Jun. 2022

  5. Prof. Panda gives a webinar talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Jagiellonian University, Krakow, Poland.-May 2022

  6. Prof. Panda gives a talk on "Towards Energy Efficient and Robust Neuromorphic Computing—Algorithm and Hardware Perspective" at the MRS Symposium on Neuromorphic Computing in Spring 2022.-May 2022

  7. Prof. Panda gives a talk on "Spiking Neural Networks: Learning at scale for Diverse Scenarios" at the Intel Labs INRC Spring 2022 Workshop on Offline Training.-Apr. 2022

  8. Prof. Panda gives a talk on "Rethinking the role of ANN-oriented techniques for Spiking Neural Networks" at the Cold Spring Harbor Labs meeting on "From Neuroscience to Artificial Intelligent Systems".-Apr. 2022

  9. Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Google meeting on spiking networks.-Mar. 2022

  10. Prof. Panda gives a webinar talk on "Spike based Machine Intelligence" at Columbia University Tech Talk.-Mar. 2022

  11. Prof. Panda gives a webinar talk on "Exploring Robustness in Neural Systems with Spike based Machine Intelligence" at the DoE center for Physics Informed Machine Learning at Pacific NorthWest National Labs.-Mar. 2022

  12. Rachel Sterneck receives NCWIT Collegiate Award Honorable Mention for her work on "Energy Efficient and Adversarially Robust Neural Networks" published in IEEE TCAD 2021. Congrats!

  13. Our paper on "MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning" accepted into DAC 2022.

  14. Our paper on "Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?" accepted into ICASSP 2022.

  15. Our paper on "Privatesnn: Fully privacy-preserving spiking neural networks" accepted into AAAI 2022.

  16. Two papers from our group - "1) Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar, 2) Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks" accepted into DATE 2022.

  17. Prof. Panda gives a talk on "Towards Energy Efficient, Interpretable and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at the WTI Integration Conference.-Jan. 2022

  18. Prof. Panda gives a talk on "Exploring Robustness in Neural Systems with Hardwareaware and Spike-based Machine Intelligence" at the NIST Seminar Series on Artificial Intelligence and Machine Learning.-Jan. 2022

  19. Prof. Panda joins the editorial board of IEEE Embedded System Letters.-Jan. 2022

  20. Prof. Panda is co-editing a focus issue on Algorithms for Neuromorphic Computing for IOPScience Journal.-Jan. 2022

2021

1. Prof. Panda joins DARPA, SRC- sponsored Center for Brain-inspired Computing (C-BRIC)- Jan 2021.

2. Prof. Panda joins the panel for Solving the Challenges of Deep Learning on Neuromorphic Hardware at the INRC Winter Workshop-Feb 2021

3. Two papers from our group -1) Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks, 2) Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks accepted into DATE 2021.

4. Tamar Geller, an undergraduate researcher, in Intelligent Computing Lab wins the 2021 Adobe Research Women-in-Technology Scholarship. Congratulations!!! -March, 2021

5. Keynote by Prof. Panda at Brainstorms Festival on 'Towards Robust and Energy-Efficient Spike Based Machine Intelligence'- March 18, 2021

6. Invited Talk by Prof. Panda at Efficient AI Seminar in Rutger's University on 'Energy-Efficient, Robust and Interpretable Neuromorphic Computing through Algorithm-Hardware Co-Design'- March 30, 2021

7. Prof. Priya Panda is co-organizing a workshop on 'Systems and Architectures for Robust and Safe AI' at ASPLOS, 2021-April 16, 2021

8. Youngeun, Rachel and Tamar, researchers from our group go for summer internships at SAIT, DeepMind and Google, respectively. Congratulations!!-2021

9. Two articles published in Frontiers in Neuroscience have been selected for Neuromorphic Engineering Editor’s Pick List.-2021

10. Prof. Panda joins the panel on Workshop on Parallel AI and Systems on Edge.-May 2021

11. Prof. Panda serves as tutorial co-chair in AICAS.-June 2021

12. Prof. Panda along with collaborators from Purdue University and UMass, Amherst obtain funding for DARPA’s Artificial Intelligence Exploration program on Shared Experience Lifelong Learning. -2021

13. Prof. Panda gives a talk on Towards Deep, Interpretable, and Robust Spiking Neural Networks: Algorithmic Approaches at PennState Center for AI Foundations and Engineered Systems (CAFE) Fireside Chat.-Aug. 2021

14. Prof. Panda will give a talk on "Towards Energy Efficient and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at Workshop on
Neuromorphic Computing: from Material to Algorithm (NeuMA).
-Oct. 2021

15. Prof. Panda will give a talk on Spiking Neural Networks: Algorithmic Advances in ESWEEK 2021.-Oct. 2021

16. Prof. Panda is co-organizing a symposium on Materials and Algorithms for Neuromorphic Computing and Adaptive Bio-Interfacing, Sensing and Actuation at the Materials Research Society Meeting.-Nov. 2021

17. Prof. Panda gives a talk on "Exploring Robustness in Neural Systems with Hardware-aware and Spike-based Machine Intelligence" at the Center for Brain-inspired Computing (C-BRIC)-Joint University Microelectronics Program (JUMP)/SRC e-workshop.-Nov. 2021

18. Prof. Panda will be the session chair for topics on "Beyond Supervised Learning: Approaches for Efficient and Reliable Intelligence" at Design Automation Conference (DAC).-Dec. 2021

19. Prof. Panda will give a talk on "Towards Energy Efficient, Interpretable and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at the Department of Electronics Engineering Seminar (Virtual), IIT Dhanbad (India), 2021.-Dec. 2021

20. Prof. Panda joins the Neurocomputation and Machine Intelligence center at the Wu Tsai Institute.-2021

2020

1. Prof. Panda invited to present in CSHL meeting on 'From Neuroscience to Artificially Intelligent Systems'-Nov. 2020

2. Papers from our group accepted into ISLPED 2020, ICPR 2020.

3. Prof. Panda invited to present in ICCAD HALO Workshop 2020 on 'Algorithm-Hardware Co-design based Efficient & Robust Neural Computing'-Nov. 2020

4. Prof. Priya Panda wins the Amazon Research Award for 2019!! -April, 2020

5. Invited Talk by Prof. Priya Panda on 'Adversarial Susceptibility and Defense of Neural Networks' at IEEE ETS 2020 on special session in Reliable and Energy-efficient AI-May, 2020

6. Invited Talk by Prof. Priya Panda on ' Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks' at IEEE SOCC 2020 on special session in neuromorphic computing-Sept. 10, 2020

7. Prof. Priya Panda is co-organizing a workshop on 'Neuromorphic Computing: Opportunities, Challenges and Perspectives' at Design Automation Conference, 2020 -July 19, 2020

8. Invited Talk by Prof. Priya Panda on 'Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems' at VLSI Design conference-January 8, 2020

2019

1. Our Nature article on challenges and future of neuromorphic computing is available online- November 27, 2019

2. Prof. Priya Panda invited to talk at Numenta Research Meeting- July 12, 2019

3. Prof. Priya Panda invited to chair the session on Bio-plausible Algorithms in the Workshop on Bridging the gap netween natural and artificial intelligence in DAC 2019 - June 2, 2019

4. Intel AI highlights Prof. Priya Panda's past research on Conditional Deep Learning that proposes an early exit mechanism as a power -efficiency strategy for implementing deep neural nets - January 10, 2019