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.
The webinar is an introduction about robotics and it is adressed to healthcare profeccionals who are intrested in healthcare robotics.
IDLab and Lopos (imec-Ghent University spin off) are involved in the TRINITY project by creating solutions to make typical industrial work environments a safer place for employees.
The InWareDrones project developed a completely autonomous drone-based inventory management system.
In a collaboration with imec and ZOL, researchers from IDLab developed machine learning techniques for automatically detecting sleep apnea in bio-impedance data. Their research was recently highlighted on IEEE Spectrum.
A consortium of research and business partners, led by IDLab and Verhaert, launched a new project to improve road safety, called Secure and Accurate Road Weather Services (SARWS).
The UAntwerp/imec investment in a new supercomputer opens up new avenues for researchers.
For the second time in a row, team SCATTER with researchers from imec-IDLab and Rutgers University (US), have won a prize in the DARPA Spectrum Collaboration Challenge.
The team from IDLab won an award on the first event of the DARPA’s Spectrum Collaboration Challenge (SC2).
The WiSHFUL project, coordinated by Ingrid Moerman from imec/UGent/IDLab, hereby announces its fourth Open Call for Experiments, targeting advanced solutions for controlling wireless networks using the WiSHFUL software platform and unified programming interfaces (UPIs), and using the facilities and hardware supported by the WiSHFUL Consortium.
After two years, FREME has just come to the end of its fruitful development road. The project – co-funded by the European Commission under the H2020 Framework Programme for Research and Innovation – has developed a commercial-grade open framework of e-Service for the multilingual and semantic enrichment of digital content.
At IDLab, we are leveraging our data science expertise to transform how we diagnose heart diseases.
Prof. Piet Demeester, received the prestigious European grant to develop disruptive wireless ‘ATTO cells’ that will be instrumental in creating intelligent swarms of robots.
At IDLab, our experts are working on unique tactics to drastically improve the prediction of which content will go viral.