Live Science

Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
Scientific Research Publishing

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education ()

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education This study was conducted to uncover and analyze ...
Frontiers

Analytic Hierarchy Process Evaluation Model for the Introduction of Talents among University Teachers

The final, formatted version of the article will be published soon. In this paper,a quantitative evaluation model based on the Analytic Hierarchy Process (AHP) is constructed to addresses the issues ...

Twist to Reshape, Shift to Transform: Bilayer Structure Enables Multifunctional Imaging

All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...
IEEE

A Parallel Processing Approach for Video Data Filtering Using NLP and Object Detection

Abstract: In scenarios where users need to extract specific information from large video datasets, an efficient system is essential to filter the relevant segments. This helps in enhancing the overall ...
IEEE

Parallel Computing Using CUDA and MultiThreading in Background Removal Process

Abstract: Parallel processing involves challenges on data dependency. In this work, we presented an investigation of performance into image background removal using the Rembg algorithms incorporating ...