This symposium intents to tighten the link between technical viewpoints on the societal risks of AI and those from industry, law and policy. Hence, top experts in Belgium representing these diverse viewpoints, from within academia and without, will present their work and the challenges they face in addressing the societal risks of AI. Afterwards, they will participate in a panel discussion.
The AI4HR&PES workshop to be held at ECML-PKDD 2023, aims to study how to address the challenges of the contemporary job market and human resources management by means of data-driven solutions that better enable the different actors to achieve their goals, including the job seekers, employers, HR agencies, policy makers, training facilities, government agencies, and more.
The goal of this small-scale mini-symposium is to bring together researchers interested in the topic of optimisation in machine learning. It is meant to provide a place for the discussion of the most recent developments in optimisation in machine learning problems, and the exploration of new research directions in this field.
On 9 and 10 February the AIDA team of prof Tijl De Bie is organizing a workshop on “AI for HR and Public Employment Services” in Ghent, Belgium.
Invited talk of Ingrid Moerman at 'WORKSHOP ON INDUSTRIAL WIRELESS TECHNOLOGIES AND SYSTEMS' at IECON 2022 conference
The purpose of this workshop was to provide an opportunity for representatives from industry, academia, and government to work closely together to update the research community on the latest progresses, emerging use cases, future roadmaps, open challenges, and promising research directions related to wireless systems in challenging industrial environments with e.g., many potential physical obstructions and sources of interferences.
Het Vlaams AI-Onderzoeksprogramma nodigt je uit om kennis te maken met experten uit bedrijven, universiteiten, onderzoekscentra, hogescholen op het AI Forum op 7 juni 2022 en er te ontdekken wat AI voor jou kan betekenen.
Dr. David Graus, lead data scientist at Randstad Groep Nederland: AI in HR: Recommender Systems and Ranking, NLP for matching, and Knowledge Graphs
Data Science and Artificial Intelligence techniques impose challenging demands on the quality of data that are often characterised by huge, integrated or connected volumes and a large variety of data formats.
With the increasing use of a range of advanced technical imaging and spectroscopic imaging methods in the study and preservation of artworks and other cultural heritage artefacts, there is growing interest in - and need for - computational approaches to fully realise the potential in the data acquired, to automate aspects of the processing and interpretation of the data and be able to address research questions in a variety of disciplines. This is a rapidly growing field of research that is only possible through cross-disciplinary collaboration.
During this first study day for specialists in cultural heritage, several experts explain how they apply artificial intelligence to analyse cultural heritage and make it accessible. What is possible today, and what does the future hold?
Tony Belpaeme gives a talk at the 2022 Science Robotics and neoBay robotics forum, together with Brian Scassellati (Yale University) and Benny Lo (Hamlyn Centre, Imperial College London). The topic of the forum is social robotics, and Tony speaks on “Social robots: a formidable challenge for AI and robotics”.
Ljubomir Jovanov to give talk on 'AI-Based traffic analytics' at AI4 Smart mobility session during Trefdag Digitaal Vlaanderen
Ljubomir Jovanov, Senior Researcher at imec-IPI-Ghent University, will present “AI-Based traffic analytics for improved safety in smart cities” at the AI4 Smart Mobility session during Trefdag Digitaal Vlaanderen (Digital Flanders Meeting Day).
Webinar: How can AI enhance Smart Maintenance and Prognostic Health Management for Industrial Assets?
In this webinar, we will discuss the recent advances in the domain of Prognostics and Health Management (PHM), as well as its implications to enhance the maintenance operations for industrial assets, resulting from the insights gained in the context of the Flanders AI Research Program.
An online Webinar organised by the Flanders AI research program on Solid and its potential impact in health applications.
The recording of this event is now available.
In this webinar we elaborate upon the topic of hybrid machine learning for smart maintenance, from both an academic as from a practical point of view. Contributions from members from UGent-EELab, UGent-IDLab and Yazzoom.
Ivo Couckuyt from the SUMO research cluster, IDLab- UGent joins the AI4Growth Workshop on AI4Manufacturing on 25th March 2021. Ivo will highlight the potential of using so called data driven surrogate models for a large range of engineering design problems, such as creating a digital twin. Watch the video to get a short introduction on the work of the SUMO research cluster.
In the framework of the Flanders AI impulse programme, the SUMO/IDLab research group at Ghent University - imec will organize a outreach event to the general public about our latest research activities on anomaly detection in time series data.
An event organized by UGent, UZ Gent and Living Tomorrow with several international speakers from Microsoft, IBM Watson, Google Deepmind, ….
Prof. Claire Monteleoni (University of Paris-Saclay and George Washington University): Advances in Climate Informatics: Machine Learning Algorithms for Climate Science