3. Edge AI and In-Memory-Computing for energy efficient AIoT solutions
Chairs: Ali Khakifirooz (INTEL) and Mahmut Ersin Sinangil (TSMC)


3.1) How to Evaluate Efficient Deep Neural Network Approaches

Vivienne Sze (MIT, USA)

 

3.2) title TBC

Arijit Raychowdhury (Georgia Tech, USA)

 

3.3) Device, Architecture, and Algorithms Co-optimization for Scalable Analog Compute Technology

Praneet Adusumilli (IBM, USA)

 

3.4) Basic introduction of SRAM based CIM including analog and digital approach

Hidehiro Fujiwara (TSMC, Taiwan)

 

3.5) PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference

Jae-sun Seo (Arizona State University, USA)