Search Results - sai+kiran+cherupally

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Hardware-Noise-Aware Training for Improved Accuracy of In-Memory-Computing-Based Deep Neural Networks

Background Deep neural networks (DNNs) have been very successful in large-scale recognition tasks, but they exhibit large computation and memory requirements. To address the memory bottleneck of digital DNN hardware accelerators, in-memory computing (IMC) designs have been presented to perform analog DNN computations inside the memory. Recent IMC...

Published: 2/23/2023 | Inventor(s): Sai Kiran Cherupally, Jae-Sun Seo, Deliang Fan, Shihui Yin, Jian Meng

Keywords(s): Algorithm Development, Artificial Intelligence, Electronics, Neural Computing

Category(s): Physical Science, Computing & Information Technology, Intelligence & Security

Authentication and Secret Key Generation Using Electrocardiogram, Heart Rate Variability, and SRAM-Based Physical Unclonable Functions

Background Traditional hardware designs for device authentication and secret key generation typically employ physical unclonable functions (PUFs) which generate unique random numbers based on static random-access memory (SRAM), delay, or analog circuit elements. Although silicon PUFs can be highly stable and unique, they do not represent liveliness....

Published: 2/23/2023 | Inventor(s): Jae-Sun Seo, Shihui Yin, Sai Kiran Cherupally

Keywords(s):

Category(s): Physical Science, Computing & Information Technology, Medical Diagnostics/Sensors, Wireless & Networking