Abstract: The traditional converter design follows the sequential process that usually contains design of topology, modulation, components, performances and their internal iterations. This method ...

Abstract: In this paper, we present an ultra-low voltage oneport static random access memory (SRAM) compiler targeting small to medium array sizes to provide a smaller area solution compared to ...

Abstract: Vibration isolators are a key technology in ultraprecision machining and ultraprecision measurements. The increasing performance requirements of magnetic vibration isolation systems (MVISs) ...

Abstract: Deep learning compiler can automatically optimize operators. It provides higher flexibility compared to vendor libraries. However, existing DNN operator tuning methods mostly rely on ...

Forbes contributors publish independent expert analyses and insights. Jamie Gold writes about wellness design and related housing topics. If you’re a professional interior designer, there’s an ...

Abstract: Developing soft circuits from individual soft logic gates poses a unique challenge: with increasing numbers of logic gates, the design and implementation of circuits lead to inefficiencies ...

Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Lauren (Hansen) Holznienkemper is a lead editor for the small business vertical at Forbes Advisor, specializing in HR, payroll and recruiting solutions for small businesses. Using research and writing ...

Abstract: Digital computing-in-memory (DCIM) has been a popular solution for addressing the memory wall problem in recent years. However, the DCIM design still heavily relies on manual efforts, and ...

Mikeie Reiland is a staff writer for Education at Forbes Advisor. Before coming to Forbes Advisor, he wrote magazine journalism for publications like the Oxford American, Bitter Southerner, and Gravy.

Abstract: Suffering from both high computational complexity and high memory bandwidth is the major challenge in realizing the deep neural network in low-power for real-time applications. Binarizing ...

Abstract: Unmanned aerial vehicle (UAV)-assisted communication is envisioned as a potential solution to the data traffic explosion in the massive machine-type communications (mMTC) scenario. In this ...