The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

Current leak detection methods for water pipelines, such as fixed acoustic devices and Pipeline Inspection Gadgets (PIGs), require shutting off the water supply and are often impractical for field inspections. These methods demand extensive workforce and time and often fail to detect smaller leaks effectively, leading to significant water loss, increased operational costs, and potential […]

The Client Success Story Campaign is designed to boost the marketing efforts of Penrose Partners by showcasing the real-world impact and success of their blockchain consultancy services. Through this project, the intern will gather and present detailed case studies and testimonials from clients who have benefited significantly from Penrose Partners’ expertise. This content will be […]

With the number of opioid-related deaths continuing to rise, the demand for an effective treatment for opioid use disorder (OUD) is growing. While opioid antagonists are effective, compliance is an issue since they induce withdrawal. The botanical compound, TGIR-C is a promising non-opioid alternative that treats detoxification without inducing withdrawal. Further research on its neural […]

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement state-of-the-art algorithms. This proposal capitalizes on the research conducted by academic partners […]

The recognition of gut microbiota, its interplay with human tissues and cells, and the signaling pathways they could generate in concrete with together, specially once imposed to gastrointestinal medications, encouraged researchers designing and establishing bioengineered platforms, enable to serve as a discovery tool for developing of microbiome-related therapeutics, monitoring medications combating detrimental effects of antimicrobial […]

LucyDNA introduces a cutting-edge genetic testing platform specializing in personalized healthcare solutions. Leveraging polygenic risk scores provides comprehensive genetic risk assessments for chronic diseases, offering tailored disease prevention, screening, and treatment recommendations. Targeting hospitals, mature individuals, and health organizations, LucyDNA enhances healthcare planning with precise insights, ensuring optimized health outcomes and precision medicine.

The proposed project, EcoTruck Smart Navigator, aims to develop an AI-powered software solution that helps electric truck fleets optimize their routes and improve range estimation. By refining and testing our prototype, we will provide fleet operators with a tool that reduces travel time and energy consumption, addressing key challenges in the transition to zero-emission vehicles. […]

The logistics industry faces significant inefficiencies due to lengthy planning and dispatching re-optimization processes, resulting in delays, increased compensations, and suboptimal transit times. These challenges arise from difficulties in assessing resource status, managing incoming requests, and coordinating communication between dispatchers, drivers, and resources. Our smart logistics optimization system leverages real-time data and advanced Artificial Intelligence […]

Breast cancer is a leading cause of female cancer deaths, but early detection significantly reduces mortality rates. Annual mammograms are common for women aged 40 and older, but those under 40 often go undiagnosed. False negatives are a concern, especially with dense breast tissue. Many women with detected lesions or genetic risk experience stress during […]

My technology introduces AsphaDots, a lubricant derived from asphaltenes-based carbon dots. This innovative product aims to address friction and wear issues in steel and related materials, commonly found in sliding, rolling, or contact interfaces in industrial machinery, as well as in natural and biological systems. Water-based lubricants have become alternatives to petroleum-based lubricants in a […]

Ce projet de recherche consiste à créer un robot conversationnel qui peut interagir avec les gens et leur recommander de la musique enregistrée en français. L’idée est que ce robot interroge des bases de données de musique en ligne pour suggérer des oeuvres musicales adaptées à chaque personne. Dans un monde où beaucoup de gens […]