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The project CONVERGE - Telecommunications and Computer Vision Convergence Tools for Research Infrastructures, led by INESC TEC, aims to develop a set of innovative tools to support research infrastructures, over the next three years. In the future, research supported by these tools is expected to play a major role in the healthcare, industry, automotive, telecommunications and media sectors.
02nd March 2023
The third edition of the workshop “Explainable & Interpretable Artificial Intelligence for Biometrics” (xAI4Biometrics) took place in early January, and brought together researchers from around the world; the event was promoted within the scope of WACV 2023, one of the major and most important international conferences on computer vision, organised by IEEE/CVF.
14th February 2023
Researching innovative technologies for the sixth generation (6G) of mobile communications, supporting the digital transition process of the European business ecosystem through the demonstration of Reconfigurable Intelligent Surfaces (RIS) THz - this is the main goal of the TERRAMETA project. Led by INESC TEC, the project brings together 13 European partners to carry out tests in telecommunications scenarios.
07th February 2023
The Portuguese Section of the IEEE acknowledged João Fonseca, a researcher at INESC TEC, for the development of Artificial Intelligence models to predict mortality rates in patients who suffered head trauma. This work, which was the first to use learning models to study of adult patients, was awarded the “IEEE Outstanding MSc Thesis Award”.
02nd January 2023
Eduardo Nuno Almeida, a researcher at INESC TEC, was acknowledged for his contribution to the development of the Network Simulator 3 (ns-3) software, in the ns-3 maintainer category. This software develops an open simulation environment for network research.
25th November 2022
INESC TEC led the organisation of two workshops in the field of computer vision, within the scope of the European Conference on Computer Vision (ECCV2022), one of the major events in the area. The monitoring and analysis of the interior of vehicles and medical image analysis with Artificial Intelligence (AI) were the themes explored.
23rd November 2022
The Institute is establishing an office dedicated to this topic, towards reinforcing the approach the institution has been pursuing in terms of impact on public policies.
18th November 2022
The paper “Emotional Machines: Toward Affective Virtual Environments” presents a model that helps to identify the emotions in speech, while mapping them to immersive virtual environments. The paper was presented at the ACM Multimedia conference, one of the world’s leading conferences in multimedia, which took place between October 10 to 14, in Lisbon.
17th October 2022
INESC TEC will contribute to the development of perception algorithms, computing and architectures based on artificial intelligence, within the scope of the project THEIA - Automated Perception Driving, a partnership between the University of Porto and Bosch - which aims to make autonomous vehicles safer through a better perception of the outside environment.
07th June 2022
The European project Cinderella aims to improve the prediction of the results of reconstructive surgeries in patients with breast cancer. The goal is to support patients who undergo mastectomies in managing expectations regarding the aesthetic results, thus facilitating their decision during the phase of choosing the intervention to be performed. The protocol that formalised this European project was signed on May 23, with a funding of €5M.
02nd June 2022
Wilson Silva, INESC TEC researcher, won the “Best Student Paper Award” at IbPRIA 2022, an Iberian conference in the field of pattern recognition and image analysis, thanks to his paper “Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes”. This is the first paper that uses deep learning methodologies (a recent paradigm in Artificial Intelligence to evaluate the aesthetic result of treatments associated with breast cancer.
30th May 2022
INESC TEC, through the Centre for Telecommunications and Multimedia (CTM), organised the workshop "Machine Learning Applied to Telecommunications and Multimedia", which took place on April 21 at the Faculty of Engineering of the University of Porto (FEUP) - part of the EESTech Challenge event.
27th May 2022