Registre des initiatives en IA

Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.

Filtrer

Rechercher dans les titres et descriptions

Secteur

Programme

Étape

Région

Alignement stratégique

Catégorie d'IA

Sous-catégorie d'IA

Capacité d'IA

Engagement du mandat du premier ministre

Périmètre

Déclarée au SCT En pause

Réinitialiser

197 initiative(s) courante(s)

Registre des initiatives en IA
ID	Initiative en IA	Étape	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
132	Salmon Scale Aging Non traduit · origine : anglais	Pilote	A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its predict...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
8	SAP AI Agent Non traduit · origine : anglais	Idéation	SAP AI Agent to validate financial transaction coding with invoices	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision Automatisation des processus assistée par IA	Gardner, Leigh
9	SAP AI Chatbot Non traduit · origine : anglais	Idéation	SAP AI Chatbot to reduce support requests that need FMA resources	—	Région de la capitale nationale	Interaction et engagement IA conversationnelle et assistants virtuels	Gardner, Leigh
97	Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence. Non traduit · origine : anglais	Pilote	This project supports Gulf Region needs for spatial data representing eelgrass habitat through a service level agreement with Marine Plannin...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
228	SILScanner Non traduit · origine : anglais	Pilote	Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Insp...	Dirigeant principal du numérique	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Bird, Tom
189	Site Assessments Non traduit · origine : anglais	Idéation En pause En pause	Automatically assess presence of eel grass from drone video Solution being developped to assist Fish and Fish Habitat Protection Program in...	Affaires autochtones, aquaculture et gouvernance	Golfe	Perception et compréhension Vision par ordinateur	Dupuis, Marc
231	Smart Assyst Non traduit · origine : anglais	Idéation	Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT or...	Dirigeant principal du numérique	Région de la capitale nationale	Interaction et engagement IA conversationnelle et assistants virtuels	Laplante, Stéphane
69	Species distribution modeling Non traduit · origine : anglais	Pilote	Species distribution models for various coral/sponge/groundfish Random Forests	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision Analytique prédictive	Rooper, Chris
73	Statistical Downscaling for the Ocean Working Group (SD-Ocean) Non traduit · origine : anglais	Idéation	The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foste...	Sciences des écosystèmes et des océans	Pacifique	Infrastructure et habilitation Gouvernance et éthique de l'IA	Holdsworth, Amber
68	Stereo camera image analysis Non traduit · origine : anglais	Pilote	Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towe...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension Vision par ordinateur	Rooper, Chris
75	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon Non traduit · origine : anglais	Idéation	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision Analytique prédictive	Thomson, Richard
240	The Current Non traduit · origine : anglais	Développement	Don't let your harvested data get stuck in still water. Navigate new data streams with AI automation, augmentation and information enableme...	Gestion des pêches	Sans région précise	Perception et compréhension IA multimodale	Bird, Tom
108	The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’ Non traduit · origine : anglais	Pilote	This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
81	Topaz AI Software Non traduit · origine : anglais	Pilote	Enhance underwater video from ROV and tow camera deployments in the offshore region and elsewhere. The deployment of these platforms is incr...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension Vision par ordinateur	Best, Merlin
27	Turn on AI Auto labeling on all M365 documents and communications channels Non traduit · origine : anglais	Idéation	Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model tra...	Dirigeant principal du numérique	Québec	Automatisation et aide à la décision Automatisation des processus assistée par IA	Bussieres, Martin
118	Use of artificial intelligence models to facilitate seafloor video annotations in conservation areas. Non traduit · origine : anglais	Pilote	The purpose of this initiative is to utilize AI to facilitate seafloor video annotations collected as part of the MCT and Benthic Ecology pr...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
96	Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitats Non traduit · origine : anglais	Pilote	This project aims to improve satellite image analysis of marine habitats leveraging NRC HPC and ML assets to apply cutting-edge ML technique...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
80	Various Built-In AI Features (Co-pilot, ChatGPT, etc) Non traduit · origine : anglais	Pilote	Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative IA générative (texte, images, code)	Quan, Eric
23	Video Summarization for Aerial Surveillance Non traduit · origine : anglais	Pilote	AI pilot under development to automatically detect and flag relevant events (e.g., human/vessel activity) in surveillance video for informat...	Secteur des programmes	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Bédard, Mathieu
7	Virtual ITSD agent for clients Non traduit · origine : anglais	Idéation	The next phase for ITSD involves deploying a client-facing chatbot. This virtual assistant will allow DFO employees to interact directly wit...	Dirigeant principal du numérique	Québec	Interaction et engagement IA conversationnelle et assistants virtuels	Miousse, Gaétan
104	Zooplankton classification from Video Plankton Recorder Non traduit · origine : anglais	Pilote	Using machine learning algorithms to identify plankton for rapid zooplankton classification from the Video Plankton Recorder, in support of...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
151	Zooplankton image analysis Non traduit · origine : anglais	Pilote	Use Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of p...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda

132
Salmon Scale Aging
A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its prediction.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
8
SAP AI Agent
SAP AI Agent to validate financial transaction coding with invoices

Idéation Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA
9
SAP AI Chatbot
SAP AI Chatbot to reduce support requests that need FMA resources

Idéation Interaction et engagement IA conversationnelle et assistants virtuels
97
Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence.
This project supports Gulf Region needs for spatial data representing eelgrass habitat through a service level agreement with Marine Planning and Conservation. Machine learning algorithms have been applied for classification of satellite imagery. MPC and Science have been collaborating for several years, annually purchasing satellite imagery, with classification conducted by both groups.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
228
SILScanner
Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Inspection Logs (SILs). The PoC was originally developed on SSC's cloud infrastructure. It is now being deployed in DFO PB cloud infrastructure. BLADES initiative and IT security teams are involved.

Pilote Dirigeant principal du numérique Perception et compréhension Vision par ordinateur
189
Site Assessments
Automatically assess presence of eel grass from drone video Solution being developped to assist Fish and Fish Habitat Protection Program in reviewing hundreds of hours of drone footage to detect presence of Eel Grass.

Idéation En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension Vision par ordinateur
231
Smart Assyst
Assyst is point of entry to all CDOS service requests and it covers many of the ITIL and ITSM practices which is the foundation of any IT organisation - and it has the potential to support most if not all of the ITIL and ITSM practices. The most recent versions of Assyst now have deeply integrated AI functionalities that are embedded in all parts and stages of the IT support process. It includes: A natively integrated Chat Bot for technicians and clients, AI ticket assignment, integration to MS Teams, recommended solutions, automated FAQ generation, natural language system search, risk prediction, conversational coding for Assyst developers, smart ticket assignment and escalation, summarization of knowledge articles, and more Activating and configuring those AI functionalities would require an investment in the Assyst system in order to make it AI ready. There is currently a lot of waste in the various CDOS ITIL practices due to a lack of investment in our ITSM tools. Modernizing Assyst to make it AI ready and turning on many of the newer AI features would joinlty contribute to reduce much of the waste incurred during the delivery of our CDOS services to the organization. It would also be a strong showcase both for CDOS and our clients of the power of AI integrated to a complete service process instead of the common and simple use case of AI conversational agents that may only produce limited and siloed value.

Idéation Dirigeant principal du numérique Interaction et engagement IA conversationnelle et assistants virtuels
69
Species distribution modeling
Species distribution models for various coral/sponge/groundfish Random Forests

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive
73
Statistical Downscaling for the Ocean Working Group (SD-Ocean)
The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foster growth of a transdisciplenary research cluster at the forefront of the rapidly-developing field by sharing tools, devloping a network of practitioners, and working through specific examples (hackathons). The recent rapid growth in Artificial Intelligence (AI) provides a set of Machine Learning (ML) tools for statistical downscaling

Idéation Sciences des écosystèmes et des océans Infrastructure et habilitation Gouvernance et éthique de l'IA
68
Stereo camera image analysis
Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towed stereo camera system Computer vision tools (Python, Viame)

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions. classical machine learning models, including linear regression, Ridge regression, and Random Forest

Idéation Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive
240
The Current
Don't let your harvested data get stuck in still water. Navigate new data streams with AI automation, augmentation and information enablement. The Current is a cloud-hosted platform that enables users anywhere in the department to ingest large volumes of structured and unstructured documents, extract data using optical character recognition and large language models, validate and review results through human-in-the-loop workflows, and relate extracted information using shared concepts and standards. The architecture emphasizes asynchronous processing, modular extraction services, strong traceability, and governance-ready design. The platform supports configurable extraction tasks, versioned models and definitions, auditable review processes, and future discovery of related research outputs and datasets across heterogeneous sources. As the initial use-case, the Text Intelligence and Data Extraction (TIDE) Service has been developed for the Salmon Habitat Restoration (SHARE) System. TIDE is a baseline iteration of The Current that fulfills the minimum viable product requirements of SHARE. TIDE focuses on digitizing, extracting, and modeling data from large unstructured text documents. TIDE establishes the baseline architecture and demonstrates a scalable workflow in Production.

Développement Gestion des pêches Perception et compréhension IA multimodale
108
The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’
This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods for detecting economically important Oyster parasites, enhance understanding of Multinucleate Sphere Unknown X (MSX) virulence dynamics, and support the creation of new vaccine in investigating future outbreaks and modeling through machine learning.

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
81
Topaz AI Software
Enhance underwater video from ROV and tow camera deployments in the offshore region and elsewhere. The deployment of these platforms is incredibly time- and resource-consuming, making the optimization of available video an important part of getting the most from this imagery. In addition there are camera limitations from the available DFO survey tools and framegrabs from video will be used as a major product from surveys, making enhancement to high quality images crucial. Topaz Video AI and Topaz Photo AI

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
27
Turn on AI Auto labeling on all M365 documents and communications channels
Our E5 M365 licences grant access to AI based tools in Purview to automatically categorized documents and set labels accordingly. Model training would require attention of an Security/IM expert to make perfect. We may want to create specific AI specific labels to avoid conflicts with officials ones.

Idéation Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA
118
Use of artificial intelligence models to facilitate seafloor video annotations in conservation areas.
The purpose of this initiative is to utilize AI to facilitate seafloor video annotations collected as part of the MCT and Benthic Ecology programs in the NL Region. A large number of vidEcosystems and Oceans Science is collected annually, and manual video annotation (e.g., locating and counting observations) is extremely time-consuming. A published “object detection model” (FathomNet Megalodon Detector, YOLOv8x) trained using marine taxa by MBARI is currently being used to identify objects in our seafloor images. The model does not identify the objects (e.g., to species), but it largely accelerates the process given that locating objects is the most time-consuming part of the work.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
96
Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitats
This project aims to improve satellite image analysis of marine habitats leveraging NRC HPC and ML assets to apply cutting-edge ML techniques to the challenges of remote sensing data analysis. Relates to ongoing project (below) through MPC service-level agreement.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
80
Various Built-In AI Features (Co-pilot, ChatGPT, etc)
Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and various others that are integrated directly into the applications already currently being used. Large Language Models

Pilote Sciences des écosystèmes et des océans IA cognitive et générative IA générative (texte, images, code)
23
Video Summarization for Aerial Surveillance
AI pilot under development to automatically detect and flag relevant events (e.g., human/vessel activity) in surveillance video for information management. Action plan for this initiative: 1. Governance: Oversight by a multidisciplinary group, routine updates and risk assessments to DM. 2. Guardrails: Pilot with departmental data only, audit outputs for accuracy and bias. 3. Work processes: Deliver targette

Pilote Secteur des programmes Perception et compréhension Vision par ordinateur
7
Virtual ITSD agent for clients
The next phase for ITSD involves deploying a client-facing chatbot. This virtual assistant will allow DFO employees to interact directly with a virtual technician who can guide them to the appropriate IT services on the portal, provide links to FAQs, and offer 24/7 support for simple issues. This will enable our technical staff to focus on more complex tasks that require their expertise.

Idéation Dirigeant principal du numérique Interaction et engagement IA conversationnelle et assistants virtuels
104
Zooplankton classification from Video Plankton Recorder
Using machine learning algorithms to identify plankton for rapid zooplankton classification from the Video Plankton Recorder, in support of efforts to assess North Atlantic Right Whale foraging habitat.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
151
Zooplankton image analysis
Use Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of preserved samples (ZooScan); and 2) in situ imagery (Underwater Vision Profiler, UVP). Imagery focused on surveys and samples collected along the West Coast of Vancouver Island and offshore from 2022-present.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur