Es presenta AIRA, l’Aliança de Recerca en Intel·ligència Artificial a Catalunya

La Generalitat de Catalunya, el CVC, el BSC-CNS, l’IDEAI-UPC, l’IIIA-CSIC i l’IRI-CSIC-UPC van presentat ahir l’AIRA, l’Aliança de Recerca en Intel·ligència Artificial a Catalunya. Durant l’acte de presentació, que va tenir lloc a la Casa de la Convalescència de la UAB, es va donar a conèixer la iniciativa als diferents membres de l’ecosistema de recerca … Read more

New algorithm for the automated detection and classification of multi-cell phytoliths using AI

A new study shows that it is possible to automate the detection and classification of phytoliths with a high level of accuracy, up to a species level. The article, in which collaborates the CVC researcher Dr Felipe Lumbreras, together with researchers from the Landscape Archaeology Research Group (GIAP-ICAC), the Catalan Institute of Classical (ICAC), the … Read more

Presentació del DIH4CAT

La Generalitat de Catalunya i una desena d’agents econòmics, centres tecnològics i de coneixement catalans han anunciat aquest dijous la creació del Digital Innovation Hub de Catalunya (DIH4CAT) per accelerar la incorporació de tecnologia avançada per part de les empreses i institucions catalanes. Es tracta d’un consorci publicoprivat impulsat pel Departament d’Empresa i Treball mitjançant … Read more

El discurs racista a Twitter durant la pandèmia s’invisibilitza i es camufla d’informació objectiva

Els nostres investigadors Jordi Gonzalez Sabaté i Diego Velazquez han col·laborat amb Fundació Autònoma Solidària (FAS) i NOVACT a l’estudi “Racisme Digital i Covid-19. Discursos racistes i antiracistes a Twitter durant la pandèmia” amb el suport de Cooperació Catalana Generalitat de Catalunya.  Gràcies al suport de l’Agència Catalana de Cooperació al Desenvolupament (ACCD), el CVC-UAB, … Read more

CVC & Cetaqua Joint Lab

Imagen médica, vehículo autónomo, robótica, entretenimiento… La visión por computador es uno de los ámbitos de la Inteligencia Artificial que está generando un impacto más tangible en nuestras vidas. En este marco, Cetaqua, Centro Tecnológico del Agua de Aigües de Barcelona, la UPC y el CSIC, y el Computer Vision Center (CVC) han firmado un acuerdo de … Read more

New system powered by deep learning makes it possible to detect Covid-19 lesions by analysing CT chest scans

Researchers From The Eurecat Technology Centre, The CVC And The University Of Barcelona Have Developed An Automated System That Taps Into Deep Learning Technology To Detect Lesions Caused By Covid-19 By Reading Computed Tomography (CT) Chest Images. The study, conducted by researchers Giuseppe Pezzano, Vicent Ribas, Petia Radeva and Oliver Díaz, was recently published in the … Read more

Computer Vision meets archaeology to detect near 10k Archaeological Tumuli in Galicia

Researchers From The Computer Vision Center And The Landscape Archaeology Research Group (GIAP) Of The Catalan Institute Of Classical Archaeology (ICAC) Have Developed A Hybrid Algorithm That Combines Deep Learning And Machine Learning To Improve The Automatic Detection Of Archaeological Tumuli Avoiding The Inclusion Of Most False Positives. Archaeological tumuli are one of the most common types of archaeological … Read more

The Computer Vision Center, Eurecat and Universitat de Barcelona, together in the fight against COVID-19

Currently, with the PCR and antigen test, clinicians have really good tools for diagnosing the COVID-19 disease when the SARS-CoV-2 virus is active within the patient organism. However, these tests have two drawbacks: first, when patients suffer pulmonary infection, these tests do not provide precise information regarding its extension, and second, once the virus is … Read more

Radiolung wins the Innovation Award from the Lung Ambition Alliance for lung cancer early detection

Radiolung is aimed to develop an artificial intelligence system based on radiomic information to improve the malignancy detection of lung nodules. The research team is compound by members of the CVC research group Interactive Augmented Modeling for Biomedicine, led by Dr. Dèbora Gil, and various departments of the Hospital and Research Institute Germans Trias i … Read more

Artificial intelligence tool developed to monitor via satellite the destruction of buildings in wars

Researchers from Barcelona and California, led by the Institute of Economic Analysis (IAE-CSIC) and the UAB, and with the participation of the Computer Vision Center (CVC), have applied machine learning to detect the destruction of buildings by artillery using neural networks. This automated method would make possible to monitor the destruction of a bellicose conflict, … Read more