The main goal of the project is the development of a reliable and transparent system for the continuous assessment of the environmental impact of deep-sea exploration. With €16M funding - with close to €12M provided by the EC's Horizon Europe programme -, the project brings together 26 institutions from 10 countries, five of them Portuguese, including the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) - also acting as the project's leader.
ArticleINESC TEC strengthened its relationship with Asia by signing a Memorandum of Understanding (MoU) with RIKEN (Japan), through the Center for Computational Science (R-CCS). The collaboration aims to promote activities focusing on energy efficiency of the advanced computing operational centres that host the Fugaku and Deucalion supercomputers, contributing to position the two organisations at the forefront of green supercomputing.
ArticleJosé Manuel Mendonça led us in a journey through his memories and some of the most remarkable moments of his life: from his “kindergarten” days, with his paternal grandmother in Esmoriz, through the path – and passion – for martial arts, experiences abroad (in countries like Switzerland, Denmark or the United Kingdom), and the beginning of his academic career, in favour of the country’s Scientific and Technological System and public policies. In the end, he also reflected on the role played by the Universities and Science in addressing the challenges posed to the country and society. This was the Last Lecture of José Manuel Mendonça, Full Professor at the Faculty of Engineering of the University of Porto (FEUP) and Chairman of the Board of Directors at INESC TEC.
ArticleA team of researchers from INESC TEC and the University of Munich tested a solution to classify seizures, the main symptom of epilepsy, using infrared radar and 3D videos. The study presents an innovative approach, which is the first to consider near-real time classification from two second samples, showing the feasibility of a system to support diagnosis and monitoring process (based on action recognition) that uses deep learning; it allows distinguishing between frontal and temporal lobes seizures (the two most common classes of epilepsy), or non-epileptic events. The results of this research were recently published by Nature Scientific Reports.
ArticleA multidisciplinary environment organised in clusters to maximise synergies and create more competitive research.
A versatile and market-based approach organised into thematic areas called TEC4 to address real world challenges.
From knowledge generation to science-based innovation
We believe that scientific and technological progress is based on a purposeful and synergistic exploration of discoveries; therefore, we develop activities that begin with the generation of knowledge and conclude by giving back value to society.
About Inesc TecWe gathered 028 work opportunities in one space
Our research intensively uses well-equipped laboratories
Our research intensively uses well-equipped laboratories
Our research intensively uses well-equipped laboratories
Our laboratory provides computational and storage support for research, development and education conducted at INESC TEC and University of Minho