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News by Networked Intelligent Systems

Networked Intelligent Systems

Innovation Radar of the European Commission acknowledges INESC TEC project for the second time

The FotoInMotion (FiM), a European project focusing on multimedia, computer vision and artificial intelligence, was acknowledged, for the second time by the European Commission’s Innovation Radar, an initiative that aims to identify high potential innovations of projects funded by the European Union.

20th May 2022

Networked Intelligent Systems

INESC TEC integrates European association of telecommunications networks and services 6G

INESC TEC is part of the 6G Smart Networks and Services Industry Association (6G-IA), the European industry and research voice for next-generation telecommunications networks and services, which aims to contribute to Europe’s leadership in 5G, post-5G and 6G research.  

28th April 2022

Networked Intelligent Systems

INESC TEC welcomed Admiral Gouveia e Melo and presented roadmaps on training and research in Ocean Technologies

Admiral Henrique Gouveia e Melo, the Chief of Naval Staff (CEMA), visited INESC TEC on April 7. This visit focused on presenting the Institute’s contribution to the sustainable growth of Ocean Economy, namely research, development, testing, and validation of Ocean Technologies, as well as on exploring potential cooperation opportunities. The agenda also included a visit to “Mar Profundo”, INESC TEC’s multidisciplinary research vessel. 

28th April 2022

Networked Intelligent Systems

INESC TEC researcher and PhD student at FEUP received an honourable mention by the Portuguese League Against Epilepsy

Elodie Lopes, INESC TEC researcher and PhD student of the Doctoral Program in Biomedical Engineering, received the award for best oral presentation at the 34th National Epileptology Congress, which took place on March 11 and 12 at Fundação Engenheiro António de Almeida (Porto), and gathered the scientific and medical community in the field of neurology.

07th April 2022

Networked Intelligent Systems

INESC TEC joins international partnership for space exploration

The Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) signed a Memorandum of Understanding (MoU) with the International Institute of Astronautical Sciences (IIAS) to establish a partnership covering six areas of intervention: science, technology, engineering, mathematics, education, and space research.

28th March 2022

Networked Intelligent Systems

New tool detects vital signs of premature babies through non-invasive methods

INESC TEC's SEED project MICOS - Monitoring Infants with a Contactless Solution, developed a tool for detecting vital signs in premature babies using low-cost cameras and computer vision algorithms.

18th March 2022

Networked Intelligent Systems

Researchers developed a non-invasive technique to characterise lung cancer

Lung cancer is one of the most common and deadliest in the world. The biopsy is the method used for its diagnosis and characterisation, and although it allows obtaining valuable information, it could lead to certain clinical issues. The LuCaS (Lung cancer screening - A non-invasive methodology for early diagnosis) project aims to make decision support systems in the characterisation of lung cancer more objective and quantitative. 

10th March 2022

Networked Intelligent Systems

Technology allows detecting the presence of antibiotics in environmental waters with a mobile phone

INESC TEC, LAQV-REQUIMTE, the Faculty of Pharmacy of the University of Porto and the School of Medicine and Biomedical Sciences developed a solution that evaluates antibiotic contamination – namely sulphonamides and fluoroquinolones – in environmental waters, and in real time, using mobile phones. The technology, developed within the scope of the S-MODE project – Screening of antibiotic contamination by mobile devices, will also contribute to the monitoring and protection of ecosystems. 

04th March 2022

Networked Intelligent Systems

INESC TEC and Bosch Car Multimedia collaborate to ensure safety and well-being inside self-driving vehicles

Within the scope of the Easy Ride Project, promoted by Bosch Car Multimedia and co-promoted by the University of Minho, INESC TEC collaborated in the design of models for the processing of audio-visual data, which allow characterising the activity of occupants of shared self-driving vehicles, while detecting unwanted behaviours.

24th February 2022

Networked Intelligent Systems

INESC TEC participates in the development of First Artificial Intelligence prototype in the field of Digital Pathology with application in colorectal cancer developed in Portugal

The Institute of Systems and Computer Engineering, Technology and Science (INESC TEC) and the pathological anatomy laboratory IMP Diagnostics developed a solution that allows optimising the diagnosis of colorectal pathologies, using Artificial Intelligence (AI). This solution was developed within the scope of the CADPath.AI project, according to the best and latest technology in terms of the anatomopathological diagnosis of histological samples.

23rd February 2022

Networked Intelligent Systems

INESC TEC develops technology to detect driver fatigue

According to the Portuguese Road Safety Authority, car accidents have a very significant impact on our society, with drowsiness being one of the main causes of accidents in Portugal. This was the basis for the development of the project AUTOMOTIVE – AUTOmatic multimodal drowsiness detection for smart VEhicles, which focused on the study and development of methodologies for driver monitoring, with particular emphasis on fatigue and drowsiness detection, using sensors on the steering wheel. 

14th February 2022

Networked Intelligent Systems

INESC TEC researchers win international competition of Artificial Intelligence for 5G networks

A team of researchers from INESC TEC, in collaboration with the Polytechnic Institute of Leiria, won the second edition of the international competition AI/ML in 5G Grand Challenge, organised by the International Telecommunication Union (ITU) – within the scope of the development of more efficient artificial intelligence algorithms, namely deep learning algorithms for 5G communications networks.

21st January 2022

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