The challenging deployment of compute-intensive applications from domains such Artificial
Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing …

The utilization of hardware-designed approximate computing in Convolutional Neural
Networks (CNNs) offers notable advantages, including accelerated performance, enhanced …

Systolic Array (SA) architecture is a hardware accelerator for running Artificial Intelligence
(AI) workloads. Although approximate computing offers hardware and performance benefits …

Approximate Computing has gained traction owing to its compounded benefits achieved in
hardware design parameters, without disturbing the overall outcome inferred from the error …

The limitations of scaling in CMOS technology pose challenges in meeting the requirements
of future applications. To address these challenges, researchers are exploring various …