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”

April 2, 2022

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”.

External link:

https://meetings.cshl.edu/abstracts.aspx?meet=NAISYS&year=22

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We are hiring!

Looking for a post-doc or graduate student to work on neuromorphic computing. Please email me on priya (dot) panda (at) yale (dot) edu if you are interested.

Both graduate and undergraduate students at Yale looking for research experience are welcome. Please see Contact link for more information.

Prof. Panda is a keynote speaker at the 2023 DARPA ERI Summit to talk about "Computational Needs for Lifelong Learning". - Aug. 2023

Prof. Panda is invited speaker at the 2023 DAC Road4NN Workshop on to talk about "Hardware Accelerators for Spiking Neural Networks for Energy-efficient Edge Computing". - July 2023

Prof. Panda is co-organizing a tutorial on Hardware and Software Co-Design for Edge AI at DAC 2023 . - Jul. 2023

Y. Kim and Y. Venkatesha secure summer internships at Amazon Research. Congrats! - 2023

Prof. Panda is organizing a special session on Neuromorphic Computing at Asilomar Conference on Signals, Systems and Computers . - 2023

Prof. Panda is guest editing a special issue on Neuro-AI Learning Systems in IEEE JETCAS . - 2023

Prof. Panda joins the Editorial Board of IEEE Transactions on Cognitive and Developmental Systems . - 2023

T. Geller wins the best senior undergraduate design project award from the EE department for her work with Intelligent Computing Lab. Congrats Tamar! - 2023

T. Geller selected for Mellon Presentation for her project on spiking neural networks. Congrats Tamar! - 2023

Two papers from our group accepted to DAC 2023. Congrats to all! Paper 1 Paper 2

One paper from our group accepted at DATE 2023. Congrats to all authors! Paper

Prof. Panda is organizing a session on "SPIKES" at ICERM 2023 Meeting on Mathematical and Scientific Machine Learning . - June 2023

Prof. Panda is invited to give a talk on Spiking Neural Networks: Opportunities and Challenges at ICERM 2023 Meeting on Mathematical and Scientific Machine Learning . - June 2023

Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design for Efficient and Robust AI at Talk Link. - May 2023

Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design with Spiking Neural Networks at Princeton University. - April 2023

Prof. Panda is invited to give a talk on Neuromorphic Computing: Opportunities and Challenges for Edge Intelligence at TU Eindhoven, Netherlands. - April 2023

Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design with Spiking Neural Networks at Brown University. - April 2023

Prof. Panda is invited to participate at the German-American Frontiers of Engineering Symposium organized by the National Academy of Engineering and Alexander Humboldt Foundation in Julich, Germany. - March 2023

Prof. Panda is invited to give a talk on Algorithm-Hardware Co-design with Neuromorphic Computing at RWTH Aachen, Germany. - March 2023

Prof. Panda is an Invited Speaker at AAAI 2023 Workshop on Practical Deep Learning In the Wild . - Feb. 2023

Prof. Panda receives the National Science Foundation CAREER Award for research on distributed intelligence with spiking neural networks. - Jan. 2023

Intelligent Computing Lab joins the JUMP2.0 Center for the Co-Design of Cognitive Systems (CoCoSys)for theme Cognition to conduct research on Distributed Intelligence. - Jan. 2023

Prof. Panda serves on the editorial board of Frontiers in Neuroscience.

Prof. Panda and colleagues from Purdue win the IEEE Brain Technical Community Best Paper Award for work on "Neural Computing With Magnetoelectric Domain-Wall-Based Neurosynaptic Devices". Congrats!

Our paper on "Exploring Temporal Information Dynamics in Spiking Neural Networks" is accepted into AAAI 2023. Congrats to all authors!