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© 2023 by ARCHIP LAB, part of Institute for Interdisciplinary Information Sciences of Tsinghua University.                     Visitors.

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FIT Building 1-208, Tsinghua University

Beijing, 100084

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Tel: +1 814-441-5511

kaishengthu@163.com

Principle 

Investigator

KAISHENG MA

I am an assistant professor at the Institute for Interdisciplinary Information Sciences of Tsinghua University in Beijing.

 

I have a broad research interest around brain technology, including brain-inspired algorithms design, corresponding computer architectures, and microelectronics field chips design. We design implanted devices to explore the mysteries of brain (Human-machine algorithms domain). We design algorithms to mimic the functions of brains to further explore deep learning algorithms to make robots understand, learn, and even gain emotions (Deep learning algorithms domain). We realize that algorithms themselves can not build barriers, so we build systems from architecture level down to real chips. (Computer Architecture and Microelectronics domain).

I received my Ph.D from Penn State and UCSB in 2018. My advisors are Prof. Vijay Nanrayanan, Jack Sampson @ Penn State and Prof. Yuan Xie @ UCSB.

Raising Stars
ZHANGHONG TAN
DEHUI LI
QICHAO MA
LINFENG ZHANG
JIEBO SONG
SIAHUAT TAN
​YIFU WU
YANNIAN ZHANG
SHAOKAI YE
MINGYU WANG
LEI XIANG
JAN-HENRIK
LAMBRECHTS
JIAQI ZHUANG
ANNI GAO

Visions:

 

Certain shifts in the technology bring with them a potential for revolution in human’s lifestyle or even the whole society. 
Just as the transition from wired to wireless telephones led to unprecedented changes in our communications and the shift from wall-power to battery-power transformed our expectations for computational systems, the shift from traditional logical systems to brain-inspired intelligent systems promises to fuel the next revolution in the artificial intelligence and Internet of Things.

The importance lays in seeking the technological shifts in a vast of potential technologies before they are revealed by the broad masses of other researchers. To excavate them, I prefer the way of retrodicting the enabler technology through the future we envision and believe:

We envision that the self-driving technology can come true, which then can change the way we travel, the lifestyle we live, and even the housing prices of the city.

We envision that the robots with deep learning algorithms can learn things like human.

We envision that we can use 20W power to achieve human-like brain capabilities.

We envision that we can back up and restore memories.

We envision that we can control the things with thoughts, rather than languages.

We envision that we can communicate our emotions with other people through brain interface.

We envision that the implanted devices can fundamentally change the way of measuring medical parameters, and elongate the human life.

With these visions in mind, I come back from US. to China Tsinghua Univeristy in 2018 to found the ArChip Lab, where I believe in vertical research methodologies from algorithms, architecture down to chips.

I also believe that to realize these visions, we needs both efforts from industry and academia. And those explorations with long efforts are better to be done in universities.

If you believe in similar visions, you are welcome to join us !

Let’s work together to build a better world !

Work Hard, Play Hard
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