05 Jul 2021
We are proud to announce that Gilles Boulianne, senior researcher in speech processing at CRIM, is one of the recipients of a 2021 Discovery Grant awarded by the Natural Sciences and Engineering Research Council of Canada (NSERC). This five-year grant will allow Gilles Boulianne, who holds more than 20 years of experience in applied research...
15 Apr 2021
The Information and Communications Technology Council (ICTC) announces a multilateral cooperation agreement with 16 post-secondary institutions and organizations in Quebec, including CRIM. CRIM is proud to be part of an initiative to support practical learning and accelerate talent integration and foster the digital shift within SMBs. This agreement will make it possible to train new...
12 Feb 2021
drones
Multimodal Emotions and Stress Detection in UAV Operators Using Deep Learning Unmanned aerial vehicles (UAVs) and drone operators perform a demanding job with many challenges. As UAVs become increasingly autonomous, this allows a reduction in the number of personnel in command during missions. However, this also poses safety challenges, as control and supervision periods are...
14 Oct 2020
The Computer Research Institute of Montréal (CRIM) salutes the acquisition of SOVO Technologies by VITAC Corp., the largest provider of captioning and accessibility services in the United States. SOVO is a Québec-based spin-off company from CRIM that specializes in the production of high-quality captioning in very short timeframes for television or web broadcasts of live events. This acquisition...
05 Oct 2020
An overview of their public service solutions Imagine that on a spring day, that the Saint-Maurice river is set to rise above 2 meters over the next 24 hours. Riverside residents are in shock. They will barely have time to take their personal belongings before leaving their homes. In comes JMap, the cartographic integration platform...
11 Sep 2020
CRIM helps standardize the sharing of Earth data to make it accessible to all. There are thousands of Earth observation data sources. Through expert analysis, we can help anticipate or even prevent natural disasters such as floods and forest fires. However, the state of the data (scattered, disorganized) is such that environmental forecasting becomes challenging....