During the first day of the public part of the EuroCC@Montenegro conference, we gave a short introduction about EuroCC and Castiel projects for broadcasting at the local TV station. Prof. Milica Vukotic, Vice-rector at the UDG, and prof. Tomo Popovic explained the project details and discussed the importance of HPC and AI in Montenegro and in general.
EuroCC@Montenegro #EuroCCME22 Day 1 (video)
This is the livestream recording from the Day 1 of #EuroCCME22 conference in Montenegro (public part).
EuroCC@Montenegro Conference Opened Today
EuroCC@Montenegro Conference started today. This conference is organized by the EuroCC and Castiel projects. This is currently one of the largest research projects in Europe, with a budget of around 60 million euros, and brings together, under the leadership of the University of Stuttgart, partners from 33 European countries. Through UDG, Montenegro is, along with North Macedonia, the only country from the region that participates in this prestigious project.
The project deals with high performance computing (super computing) and after two years of project duration, due to the pandemic, this is the first conference that is held live. We are happy that UDG, with its project results, deserved to host a conference in Montenegro that brought together over 200 researchers from prestigious European universities and institutes, from 33 countries.
EuroCC is currently one of the largest research projects in Europe, with a budget of around 60 million euros — under the leadership of the University of Stuttgart it brings together partners from 33 European countries. Because UDG is one of the partners, Montenegro is, along with Northern Macedonia, the only country from the region participating in this prestigious project.
The project deals with high performance computing. Due to the pandemic, this is the first in-person conference two years after the start of the project. We are happy that UDG’s contribution to the project was recognized, and that our recommended results lead to us hosting a conference in Montenegro. The conference brings together over 200 researchers from prestigious European universities and institutes, from 33 countries.
Summer school on HPC Computer Architectures for AI and Dedicated Applications
Last week, the Summer school on HPC Computer Architectures for AI and Dedicated Applications was held in Barcelona at the Barcelona Supercomputing Center (BSC) and at the Universitat Politècnica de Catalunya (UPC). Over the course of 5 days, excellent lecturers gave the participants the opportunity to familiarize themselves with the architecture of supercomputers, to deal in detail with RISC-V, to run scripts for training AI models on the MareNostrum supercomputer, but also with the application of these high-performance systems in application development artificial intelligence. One of the participants of this school was our PhD student from the Faculty of Information Systems and Technologies, mr Stevan Cakic. Mr. Cakic provided us with few photos from the event.
HPC Conference by EuroCC/CASTIEL
The upcoming international conference in the field of high-performance computing (HPC) – EUROCC/CASTIEL within the framework of the EuroCC project – National Competence Centers in the Framework of EuroHPC and CASTIEL will take place from 6-9 September this year in hotel Mediteran in Becici, Budva.
The conference 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 be open for public on September 8th and 9th and 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 open for public on September 8th at 13:00h with a livestream provided on the official website of the project EuroCC: https://www.eurocc-access.eu . The opening speech will be given by dr. Ing Bastian Koller, the Deputy Director of the High-Performance Computing Center Stuttgart, who will have a public presentation of EuroCC & CASTIEL. During the conference 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 key to many advanced researches. Participants will have a chance to learn more about the importance of National Competence Centers across Europe, but also to participate in panels: HPC+ in academia, public administration, best practices, the future of the NCCs. In addition to the above, within panels HPC4SME2 and SMEs and HPC+ (Selected FF4EuroHPC Success Stories) the conference will present project success stories and user cases 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. The conference Agenda is available here.
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.
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)
IEEE COINS 2022: Detecting Pneumonia with TensorFlow and CNNs
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.
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)
