Abstract: Artificial intelligence (AI) models are currently driven by a significant upscaling of their complexity, with massive matrix-multiplication workloads representing the major computational ...

Abstract: In this letter, we propose a prognostics and health management (PHM) method for permanent magnet synchronous motors (PMSMs) in urban air mobility (UAM). The method uses a Transformer and ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Welcome to the gem5-Aladdin SoC simulator! This is a tool for end-to-end simulation of SoC workloads, including workloads with accelerated functions handled by fixed-function hardware blocks. With ...

Tolerance was over. Drag shows, activist-driven science, the spurious multiplication of identities—all of these were to be purged, along with the backstabbing liberals, likely collaborating with ...

Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...

Despite continuous improvements and incremental upgrades with each new generation, processors haven't seen any industry-shifting advancements in a long time. The transition from vacuum tubes to ...

Optical neural networks implemented with Mach-Zehnder Interferometer (MZI) arrays are a promising solution to enable fast and energy-efficient machine learning inference, yet finding a practical ...

As industries increasingly rely on AI models and complex optimization, computing demands are soaring—just as digital hardware reaches its limits. To meet this challenge, Microsoft Research has ...

Here's everything you need to know about Java operators and operator types, and how to use them to write expressions for your Java programs. In this tutorial, you will learn how to write expressions ...

In signal processing applications, the multipliers are essential component of arithmetic functional units in many applications, like digital signal processors, image/video processing, Machine Learning ...

We propose a hardware-friendly architecture of a convolutional neural network using a 32 × 32 memristor crossbar array having an overshoot suppression layer. The gradual switching characteristics in ...