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Member for
2 months 1 week
Name
Ngo-Doanh NGUYEN
Research Area
HW/SW co-design; Low-power solutions for AI; Ultra-low-power for sensor circuits
Role
PhD student
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10
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Title Updated date Comment count
An Efficient Hardware-based Spike Train Repetition for Energy-constrained Spiking Neural Networks 2 weeks 3 days ago 6

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SoC Labs Welcome

Dear Prof. John,

Thank you for your message. Yes, currently, I am trying to integrate sensor circuits using only standard cells to digital AI IPs.
However, this is still under development. 
On the other hand, I joined as a member of my team (https://soclabs.org/project/efficient-hardware-based-spike-train-repetition-energy-constrained-spiking-neural-networks).

Best regards,
Doanh.

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Comments

Hi,

Welcome to SoC Labs. Sorry for the delay in contacting you. I see you have an interest in Ultra-low-power for sensor circuits and AI. Are you combining these two areas? We would be happy to hear from you and understand how we can help collaborate.

Looking forward to hearing from you.

John.

Dear Prof. John,

Thank you for your message. Yes, currently, I am trying to integrate sensor circuits using only standard cells to digital AI IPs.
However, this is still under development. 
On the other hand, I joined as a member of my team (https://soclabs.org/project/efficient-hardware-based-spike-train-repetition-energy-constrained-spiking-neural-networks).

Best regards,
Doanh.

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