Computer vision algorithms and hardware implementations: A survey
Xin Feng+4 more
openalex +2 more sources
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings [PDF]
In response to innovations in machine learning (ML) models, production workloads changed radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its third supercomputer for such ML models. Optical circuit switches (OCSes)
N. Jouppi+13 more
semanticscholar +1 more source
Synthesis Optimization of Arithmetic Circuits on Coarse-Grain Reconfigurable Architecture [PDF]
The increasing capabilities of integrated circuits and the complexity of applications have led hardware design methods and tools to higher levels of abstraction. High-level synthesis is one of the key steps in increasing the level of abstraction, and the
Samaneh Emami+2 more
doaj +1 more source
Ransomware Attack as Hardware Trojan: A Feasibility and Demonstration Study
The integrated circuit (IC) ecosystem, today, is widely distributed. Usually, a handful of companies is involved in the development of a single chip – an environment that presents many opportunities for malicious activities such as the insertion ...
Felipe Almeida+3 more
doaj +1 more source
A novel approach based on CatBoost and explainable artificial intelligence for diagnosis of COVID-19 cases using patients' symptoms [PDF]
The COVID-19 virus, which was discovered in December 2019 in the city of Wuhan, China and quickly spread throughout the world, continues to be an important threat to the health of the world.
Samaneh Emami+2 more
doaj +1 more source
Task Migration Policy for Thermal-Aware Dynamic Performance Optimization in Many-Core Systems
The steady downsizing of semiconductor technology nodes in recent years has led to a rapid increase in the density of power consumption on chips which, in turn, renders temperature a major issue for many-core systems, adversely affecting their ...
Behnaz Pourmohseni+4 more
doaj +1 more source
Image quality improvement in low‐dose chest CT with deep learning image reconstruction
Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian+7 more
wiley +1 more source
Abstract This study aimed to evaluate the clinical beam commissioning results and lateral penumbra characteristics of our new pencil beam scanning (PBS) proton therapy using a multi‐leaf collimator (MLC) calculated by use of a commercial Monte Carlo dose engine.
Yuki Tominaga+5 more
wiley +1 more source
FPGAs in Client Compute Hardware [PDF]
<div>Field-programmable gate arrays (FPGAs) are remarkably versatile. FPGAs are used in a wide variety of applications and industries where use of application-specific integrated circuits (ASICs) is less economically feasible. Despite the area, cost, and power challenges designers face when integrating FPGAs into devices, they provide significant
openaire +5 more sources
A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis
This paper proposes a new term frequency with a Gaussian technique (TF-G) to classify the risk of suicide from Thai clinical notes and to perform sentiment analysis based on Thai customer reviews and English tweets of travelers that use US airline ...
Vuttichai Vichianchai+1 more
doaj +1 more source