Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.
-
MIT, NVIDIA
- songhan.mit.edu
- @songhan_mit
- in/songhanmit
Tianrun Gou
Touka20
EE 24'at THU, ECE 26'at UCLA.
My research interests lie in SW/HW co-design for efficient AI.
UCLA Los Angeles
Shidi Tang
Glinttsd
Third year PhD candidate @ Southest University (SEU) interested in parallel computing, efficient machine learning, domain specific architectur
Southeast University Nanjing, China
Like Xu
lkml-likexu
A linux kernel developer, focusing on performance (w/ monitorability, w/ debuggability, w/ scalability, w/ power efficiency).
Tencent Cloud Shanghai, China
Qijia Yang
MrAMS
Always on the way to create something fun : )
Institute of Computing Technology (ICT), Chinese Academy of Sciences China
Shantian Qin
shantianqin
I'm a Ph.D. candidate at ICT-CAS. I received my B.E. degree from Tongji University. My research focuses on dataflow-driven AI chip design.
ICT, CAS Beijing, China
Rui Ying
rruiying
MSEI/RCI student at Technical University of Munich, intersted in mathematic optimazation for learning based system analysis and control framework
Munich, Gernmany
JamesCai
JamesCai23
Tsinghua University, major in Electronic Engineering.
Tsinghua University Beijing, China
MD Yousuf
mdyusuf166
CSE Student | Aspiring AGI & Quantum Biotech Innovator | Future MIT Researcher | Passionate About AI, Robotics & Cancer Therapy Through Quantum Science
Yuxiang Lu
innovator-zero
CV & Embodied | Ph.D. student @ HKU | M.E. & B.E. @ SJTU
The University of Hong Kong Hong Kong
PreviousNext