August 2022 - EuroCC Montenegro

04.08.2022.27.10.2022.

IEEE COINS 2022: HPC and Deep Learning for Computer Vision in Smart Farms

Researchers from EuroCC Montenegro presented two papers at the IEEE International Conference on Omni-Layer Intelligent Systems (COINS). IEEE COINS (link) is the right place to be. IEEE COINS brings together experts in Digital Transformation (from AI and IoT to Cloud, Blockchain, Cybersecurity, and Robotics) from around the globe. IEEE COINS includes a multi-disciplinary program from technical research papers, to panels, workshops, and tutorials on the latest technology developments and innovations addressing all important aspects of the IoT & AI ecosystem. The conference took place 1-3 August in Barcelona.

This paper was a result of the collaboration on FF4EuroHPC application experiment project called AIMHiGH that focuses on computer vision and the use of HPC to develop object detection prediction models for the use in smart agriculture, more specifically in the poultry sector. The title of the paper is “Developing Object Detection Models for Camera Applications in Smart Poultry Farms”.

ABSTRACT – This paper proposes the use of high-performance computing and deep learning to create prediction models that can be deployed as a part of smart agriculture solutions in the poultry sector. The idea is to create object detection models that can be ported onto edge devices equipped with camera sensors for the use in Internet of Things systems for poultry farms. The object detection prediction models could be used to create smart camera sensors that could evolve into sensors for counting chickens or detecting dead ones. Such camera sensor kits could become a part of digital poultry farm management systems in shortly. The paper discusses the approach to the development and selection of machine learning and computational tools needed for this process. Initial results, based on the use of Faster R-CNN network and high-performance computing are presented together with the metrics used in the evaluation process. The achieved accuracy is satisfactory and allows for easy counting of chickens. More experimentation is needed with network model selection and training configurations to increase the accuracy and make the prediction useful for developing a dead chicken detector. (link)

03.08.2022.27.10.2022.

IEEE COINS 2022: Detecting Pneumonia with TensorFlow and CNNs

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The paper called “Detecting Pneumonia with TensorFlow and Convolutional Neural Networks”, authored by D. Babic, I. Jovovic, T: Popovic, S. Cakic and L. Filipovic discussed the use of deep learning and HPC to create prediction models aimed at detecting pneumonia in chest x-ray images.

ABSTRACT – Artificial intelligence is getting more and more involved in our everyday life as a result of enormous amounts of data available for feeding the machine and deep learning algorithms. Deep learning introduced new dimensions and possibilities of applications in medical science. With COVID-19 outbreak in 2020 at global level, the health systems of many countries were overwhelmed. With many patients infected, health system is pressured to correctly diagnose patient’s state of illness. In a lot of occasions, it was almost impossible to correctly diagnose many COVID-19 positive patients that have pneumonia due to many outbreaks in many areas. The intelligent system that could detect pneumonia with certainty could help in easing the pressure on the health system and make doctors focus on more severely ill patients. This paper describes development of pneumonia detection model using TensorFlow to processes the chest X-ray images to determine whether the patient has pneumonia. The model is based on deep learning algorithm supported through convolutional neural network. The model presented in this paper has achieved rather high accuracy (over 95%) in analyzing X-Ray images and could be used to speed up decision process in healthcare. (link)

01.08.2022.27.10.2022.

Mark Your Calendars! EuroCC Conference in Montenegro in September 6-9

University of Donja Gorica (UDG) and NCC Montenegro will host the International Scientific and Academic Conference. The conference is realized within the framework of the EuroCC project – National Competence Centers in the Framework of EuroHPC, which will bring together experts from 33 countries.

If you are interested in HPC, HPDA, and AI, you need to be in Montenegro in September

EuroCC project team, coordinated by the University of Stuttgart from Germany, decided that UDG will host this year’s international conference. The international scientific and academic conference called “EuroCC/CASTIEL” will take place from 6-9 September this year and will gather over 200 experts from 33 member countries of EuroHPC JU – Joint Undertaking for European High Performance Computing within the Horizon2020 program. The conference will cover topics from the field of HPC technologies and related disciplines such as high performance data analysis (HPDA), artificial intelligence (AI), machine learning, parallel programming, computer simulations and the like. The conference will be dedicated to current topics in the global age, as well as their impact on the entire society, including the latest technological and business achievements in this area. Emphasis will be placed on advanced e-infrastructure, the key component of which is precisely HPC, which contributes to the development of modern science and is essential for many advanced researches.
In addition to the above, the conference will present projects results, done as part of the FF4EuroHPC open calls, aimed at the highest quality experiments of innovative small and medium-sized enterprises across Europe, including the use of artificial intelligence, cloud technologies, HPC and others.

Learn about NCC Montenegro and EuroCC activities at UDG

We invite experts and the general public, if they are interested in participating in the part of the conference open to the public, to register at eurocc.conference@udg.edu.me.

Check EuroCC Access website for more information: EuroCC@Montenegro.