The phrase "automated hardware" is correct and usable in written English.
It can be used when referring to hardware components or systems that operate automatically without human intervention.
Example: "The factory has upgraded to automated hardware to improve efficiency and reduce labor costs."
Alternatives: "automated equipment" or "self-operating hardware".
The automated generation of software tools for ASIPs is a commonly used technique, but the automated hardware model generation is less frequently applied in terms of final RTL implementations.
Specifically, novel optogenetic and microfluidic tools have been made accessible by the distribution of low-cost, automated hardware designs that rely on readily available components and inexpensive construction processes.
Hardware/software cosimulation has been introduced by major EDA vendors around year 2000, combining Matlab/Simulink, the computing, and Model-Based Design software, with synthesizable blocksets and automated hardware synthesis software such as DSP Builder from Altera, and System Generator from Xilinx (XSG).
The automated hardware released microrafts with 98% efficiency and collected released microrafts with 100% efficiency.
This paper presents a novel approach for automated hardware model generation for ASIPs.
Such capabilities also reduce the complexity of running automated hardware-driven optimization procedures for finding relevant control waveforms [15], by allowing efficient generation of many trial waveforms without the need for large memory stores at the local controller.
The Seagate Secure family is powered by a robust security platform that combines strong, fully automated hardware-based security with a programming foundation that makes it easy to add security-based software applications for organization-wide encryption key management, multi-factor user authentication and other capabilities that help lock down digital information at rest.
Currently, a fully automated miniaturized hardware system for the bacterial set up, which includes measurements of luminescence and fluorescence or absorption and the image analysis based evaluation is under development.
We briefly present in Section 2 the state of some design methodologies that are able to automate the hardware implementation of an application algorithm on MPSoC architecture.
As with hardware, automated formal verification (simply formal verification, hereafter) is concerned with discharging these proof obligations using an automated theorem prover.
One fact is indisputable, however: Automated solutions, whether hardware or software (or a combination of both), are getting cheaper, faster and more versatile at an ever-increasing rate.
