Yigit Demirag

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PhD candidate at Institute of Neuroinformatics and ETH AI Center. Brain-inspired computing. Previously Samsung, EPFL, CERN, GSoC
GitHubhttps://github.com/yigitdemirag
Websitehttps://yigit.ai
Scholarhttps://scholar.google.ch/citations?user=DHJq-UoAAAAJ&hl=en

I'm happy to share our work about meta-learning for analog substrates is well received at NeuMatDeCas, thanks to fantastic collaborators Prof. Emre Neftci and Prof. Regina Dittmann who hosted me at Forschungszentrum Jülich and my PhD supervisor @giacomoi .

[ #code and summary ] https://github.com/YigitDemirag/meta-analog

GitHub - YigitDemirag/meta-analog: JAX implementation of MAML on the analog spiking neural network accelerator for the edge adaptation

JAX implementation of MAML on the analog spiking neural network accelerator for the edge adaptation - GitHub - YigitDemirag/meta-analog: JAX implementation of MAML on the analog spiking neural netw...

GitHub

I highly recommend Raycast (raycast.com) as a lighter and faster Alfred alternative for OSX people.

#SuperCool

From IEDM'22:

TSMC's SRAM cell size is only 5% smaller at 3 nm.

#industry #sota #ai

This is how I #COSYNE