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 ...

Abstract: Approximate computing has emerged as an efficient solution for energy saving at the expense of calculation accuracy, especially for floating-point operation intensive applications, which ...

“Medusa Point 1” is described as a Ryzen 5/7-class APU design, often framed as 4C + 4D + 2LP. A second version, “Medusa Point 2,” is claimed to target Ryzen 9 positioning by adding a 12-core Zen 6 CCD ...

Abstract: The field of design and design automation of micro-/nano-circuits and systems has played a pivotal role in advancing information technologies that are an inseparable part of all our lives.

Abstract: The DC-link capacitors in back-to-back (BTB) converters perform as a necessary DC-link voltage supporter and power buffer for both sides. However, the DC-link capacitor is normally ...

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: Integrated Bragg gratings (IBGs) developed on the silicon-on-insulator (SOI) platform, owning to their high spectral flexibility, are showing great potential for many optical applications ...

Swift-DocC is a documentation compiler for Swift frameworks and packages aimed at making it easy to write and publish great developer documentation For an example of Swift-DocC in action, check out ...

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: Graph Neural Networks (GNNs) have achieved remarkable success across domains such as recommendation and scientific computing, yet their practical deployment remains constrained by high ...