Technical Program

TP6b: AI/Machine Learning Architectures (Invited)

Session Type: Oral
Time: Tuesday, November 5, 15:30 - 17:35
Location: Toyon
Session Chair: Keshab Parhi, University of Minnesota
 
TP6b-1: RRAM-BASED IN-MEMORY COMPUTING FOR EMBEDDED DEEP NEURAL NETWORKS
         Daniel Bankman; Stanford University
         Jonas Messner; Stanford University
         Albert Gural; Stanford University
         Boris Murmann; Stanford University
 
TP6b-2: VESTI: AN IN-MEMORY COMPUTING PROCESSOR FOR DEEP NEURAL NETWORKS ACCELERATION
         Zhewei Jiang; Columbia University
         Shihui Yin; Arizona State University
         Minkyo Kim; Arizona State University
         Tushar Gupta; Arizona State University
         Mingoo Seok; Columbia University
         Jae-sun Seo; Arizona State University
 
TP6b-3: RETHINKING THE VALUE OF DNN WEIGHT SPARSITY ON HARDWARE: IS IT TRULY BENE?CIAL?
         Yanzhi Wang; Northeastern University
         Deliang Fan; University of Central Florida
 
TP6b-4: IS MY NEURAL NETWORK NEUROMORPHIC? TAXONOMY, RECENT TRENDS AND FUTURE DIRECTIONS IN NEUROMORPHIC ENGINEERING
         Sumon Kumar Bose; Nanyang Technological University
         Jyotibdha Acharya; Nanyang Technological University
         Arindam Basu; Nanyang Technological University