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Key senior personnel changes at Global Inkjet Systems

Nano Dimension, a Nasdaq listed technology company, began its existence specializing in Additive Manufacturing of Electronics (AME) and has since broadened to include Machine and Deep Learning (AI), Additive Manufacturing (AM), Surface Mount Technology (SMT) and Industrial Inkjet Technology – via GIS. Following the acquisition of GIS in January 2022, teams on both sides have
Nick Geddes Steve Williamson Industrial Inkjet Technology Additive Manufacturing Of Electronics Surface Mount Technology Global Inkjet Systems

New CT technology paired with deep learning denoising enables better detection of multiple myeloma bone disease

New CT technology paired with artificial intelligence (AI)-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT, according to a new study published in Radiology, a journal of the Radiological Society of North America.
United States Mayo Clinic In Rochester Cynthia Mccollough Francis Baffour Joel Fletcher Emily Henderson

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"Optimising Automatic Text Classification Approach in Adaptive Online C" by Ya feng Zheng, Zhang hao Gao et al.

A text semantic classification is an essential approach to recognising the verbal intention of online learners, empowering reliable understanding and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current deep learning models, such as CNN and RNN, are ineffective in classifying verbal content contextually. Moreover, the contribution of verbal elements to ...
Adaptation Models Attention Mechanism Deep Learning Feature Extraction Long Short Term Memory Network Nline Collaborative Discussion
Source: uow.edu.au

"Context-Driven Satire Detection with Deep Learning" by Md Saifullah Razali, Alfian Abdul Halin et al.

This work discuss the task of automatically detecting satire instances in short articles. It is the study of extracting the most optimal features by using a deep learning architecture combined with carefully handcrafted contextual features. It is found that a few sets can perform well when they are used independently, but the others not so much. However, even the latter sets become very useful after the combination process with the former sets. This shows that each of the feature sets are signif...
Convolutional Neural Networks Deep Learning Feature Extraction Machine Learning Algorithms Natural Language Processing Atire Detection
Source: uow.edu.au

"SmartFilter: An Edge System for Real-Time Application-Guided Video Fra" by Jude Tchaye-Kondi, Yanlong Zhai et al.

Given the limited bandwidth available in distributed camera systems, it is nearly impossible for cameras to transmit their entire feed to the server in real-time. Furthermore, as the number of camera units increases, the processing overheads on the server also increase, resulting in excessive latencies. This paper introduces SmartFilter, a new Edge-to-Cloud filtering solution for video analytics. SmartFilter exploits the feedbacks from the running server-side application to filter directly on th...
Continuous Vision Deep Learning Edge Computing Real Time System Real Time Systems Smart Cameras
Source: uow.edu.au

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