Acrylic Robotics is a robotics startup based in Montreal, on a mission to use technology to make fine art accessible to the general public. To make fine art accessible, this project focuses on the implementation of a larger robotic arm to recreate artists’ artworks at scale. The intern will be responsible for the development of […]

This project aims to provide a sustainable and low-cost packaging machine for small businesses in the cosmetics industry. This machine will be able to fully automate the packaging process for cosmetics, while also providing a near zero-waste usage. The material used for the packaging and for holding the cosmetic samples will be optimized to find […]

This project aims to continue an academia-industry collaboration between INRS and Applied Nanotools Inc. (ANT) to collaboratively develop high-accuracy nano-positioning using an optical imaging approach. The major goals include (1) the development of the second-generation moiré-fringe-based optical nanopositioning system (MONAS-2.0), (2) the technology transfer of this system to ANT, and (3) the exploration of new […]

Développement d’un photo-masque pour lithographie digitale dans les procédés de micro-fabrication de semiconducteur.

The circular economy is an important component of sustainability in this present economy. This project requires the intern to develop a commercialization plan for an innovative technology-driven process of extracting proteins and nutrients from organic waste generated by food and beverage manufacturers. The partner organization possesses intellectual know-how and process expertise in converting organic waste […]

Sustainable aviation fuel (SAF) is a description increasingly used to refer to aviation turbine fuel (jet fuel) that is produced from renewable and sustainable resources. The use of SAF for commercial air transport holds the promise of reducing the fossil fuel footprint of this industry. However, in North America it is at present not legal […]

The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged […]

Weyerhaeuser Drayton Valley Lumber Mill has employed continuous monitoring of vibration for all the critical rotating assets in the mill to detect failures in early stage and prevent failures. Continuous monitoring is achieved through sensors mounted on the equipment and each sensor collects real-time vibration data of the equipment. Real-time vibration data give an understanding […]

This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

Le changement climatique représente l’un des plus grands défis auxquels nous devons faire face. Ce phénomène est causé par le réchauffement de la planète en conséquence des concentrations élevés des gaz à effet de serre (GES) dans l’atmosphère liée aux activités humaines telles que l’utilisation des combustibles fossiles dans le secteur industriel. Les acteurs métalliques […]

Advanced persistent threat (APT) groups, as well as those sponsored by a nation-state, often aim to gain undetected access to a network and then remain silently persistent, establish a backdoor, and steal data, as opposed to causing damage. APT groups use different tactics, techniques, and procedures (TTPs) at various stages of cyberattacks. The continuous and […]

Streaming Cameras have become ubiquitous in the urban and industrial landscape. This research project aims to improve the AI-based action recognition capability of consumer-class home camera streams, which often have limited bandwidth and degraded video quality. The project proposes to develop a network-aware, video-action recognition AI pipeline that pushes key operations of traditional action recognition […]