Research

Keywords: Deep Learning Accelerators / Domain Specific Architectures / Algorithm-Hardware Co-design

Research Interest and Vision

My research vision is to create the next generation of computers. In order to achieve this long-term goal, I am currently focusing my research on domain-specific architectures, especially deep learning accelerators.

The research projects I have been involved in are listed below.

Algorithm/hardware Co-design for Bayesian Neural Networks

research overview

My graduate thesis for bachelor degree is about the acceleration of the Bayesian Neural Networks. I found a bottleneck of the computations and proposed a new approximation method. To support the approximation algorithm efficiently on hardware, I proposed a novel hardware design. (Full Paper Accepted in International conference on Application-specific Systems, Architectures and Processors (ASAP) 2021)

Malicious Information Sharing Systems

I built a system that can share malicious information among companies and automatically include it in the network configuration by using Software Designed Networks and STIX format.

Contact

E-mail: yoshiyoshibus[ at ]gmail.com (Please replace [at]_ appropriately)
Twitter En: [at]YoshikiFujiwara
Github: yoshi-ki

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while (!deck.isInOrder()) {
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}

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Item One Ante turpis integer aliquet porttitor. 29.99
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