Abstract: Recent advancements in computing speed and capacity of Artificial Intelligence (AI) algorithms have reached a saturation level in performance due to the continuous application of Moore's law ...

Abstract: Neural networks are developed to model the behavior of the brain. One crucial question in this field pertains to when and how a neural network can memorize a given set of patterns. There are ...

Abstract: Long-horizon contact-rich manipulation has long been a challenging problem, as it requires reasoning over both discrete contact modes and continuous object motion. We introduce Implicit ...

Abstract: To address the large mid-point potential fluctuation issue of Active Neutral Point Clamped (ANPC) when traditional finite control set model predictive control (FCSMPC) is adopted, this paper ...

Abstract: As CMOS technology continues to scale, the associated reduction in device reliability margins has made accurate reliability evaluation a critical component of digital circuit design.

Abstract: Point clouds have garnered increasing research attention and found numerous practical applications. However, many of these applications, such as autonomous driving and robotic manipulation, ...

Abstract: Printed Electronics (PE) technology has emerged as a promising alternative to silicon-based computing. It offers attractive properties such as on-demand ultra-low-cost fabrication, ...

Abstract: Due to ultra-low power consumption, demand of reversible logic has been increased. In this article, primary intention is to not to increase the garbage output, area and delay to introduce ...

Abstract: In the design of domain-specific architectures (DSA) for scientific computing, the computation of nonlinear functions imposes strict requirements on data precision and execution cycles. The ...

Abstract: Testing systems-on-a-chip (SOC) involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the circuit under test (CUT) during test application ...