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Neural Network Compression
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Hello,

Welcome to SoC Labs. I looked up you paper on Flexible Quantization for Efficient Convolutional Neural Networks. I see in the conclusions that you say "Implementing NUUQ-optimized CNNs in hardware platforms such as ASICs, FPGAs, or microprocessors will validate its practical viability". Is that something of interest? or was there something else that interested you in SoC Labs?

We look forward to hearing from you.

Hi,

It has been a busy time at SoC Labs. We have just got back from hosting a half day workshop at the DATE conference in Lyon. We had presentations of SoC Labs and a number of projects from the community. The cohort from last year’s contest had a range of designs, some focused on the AI/ML inference and some on analog mixed signal aspects. 

We have an ongoing activity where we are looking to support projects including SoC Design Contest 2025 for Canada and the America's | SoC Labs as well as at DATE we launched our new design contest for the coming year. I don't know if this is of any interest?

With our contests we support projects during the year, help them to present their results at conferences and provide some support for the fabrication costs.

It would be good to understand your interests and how we might collaborate?

Look forward to hearing from you,

John.

Hi,

The number of institutions signing up to SoC Labs continues to grow. We are keen to make sure we connect with them and to try and establish some collaboration. If you can let us know you interests that would be helpful. Just so people can understand how to connect then for aby work flow stages and technology needed to build a SoC that are of interest to you can be simply added  to your profile.

There is a button on each page, simply click to add it to your profile. You can always ask questions with the comments box.

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