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.
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198 initiative(s) courante(s)
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220
Development of an underwater videography and AI system for studying fish passage effectivenessDesigned to train existing DFO tools with information on fish passage effectiveness and develop an SOP for training videography-based AI models in support of fish passage projects.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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170
NFIS Elver Retrieval-Augmented Generation Pilot with CDOSCDOS RAG pilot accept NFIS submission of illegal elver sales proposal. AI model would receive content and asked to summarize or visualize information based on core concepts to draw inference. Pilot only active for 2 months. Governance: Large project of 40 pilots led by CDOS. Assign project lead; document user access. Regular check-ins with IT and management. Guardrails: Restrict to pilot users; apply GC data/privacy standards; conduct ethical reviews and audits. No interne
Pilote Secteur des programmes IA cognitive et générative
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169
Dark Vessel Detection PlatformUtilizes AI and machine learning to detect vessels in satellite imagery, predict movements, and flag potential IUU fishing globally.Automatically cross-references detected vessels with AIS and VMS data to identify unregistered or "dark" vessels. Supports international IUU fishing monitoring; new AI-driven features enable vessel identification from electro-optical imagery. Governance: Managed by DFO’s International Fisheries Enforcement team; technical oversight by MDA Space; coordinated with CSA and other OGDs. Guardrails: All data use complies with commercial licensing terms and GC privacy requirements; sharing restricted
Pilote Secteur des programmes Perception et compréhension
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168
Development of bespoke data-limited tools using AI coding.The majority of Canadian fish stocks are data limited thus preventing full analytical stock assessments. Data limited tools are therefore the only approach. We are engaged in quick Ai development of custom data limited assessment approaches for exploited fish stocks
Pilote Sciences des écosystèmes et des océans IA cognitive et générative
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166
Détection de baleines sur les images obtenues par les dronesCe projet vise à générer des bases de données d’images annotées et des modèles IA entrainés pour détecter les différentes espèces ou groupes d’espèces visés.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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163
Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marineNous utilisons les technologies d’apprentissage profond (deep learning) et les détecteurs pour la détection et identification en temps réal des espèces de mammifères marins telles que la baleine noire de l’Atlantique.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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161
Remote sensing of the internal tide in the St. LawrenceUsing model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data and 2) train an AI to detect internal tide in SWOT data.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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159
Chumputer Vision - salmon scale age predictive AIDeep Machine growth pattern Learning of chum salmon scales for predictive age assignments by way of scale pattern interpretation.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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155
A VPN-accessible data science environmentSet up a CDOS-managed Linux desktop to allow a safe and powerful data science environment where Scientists can sagely test data science tools on Protected B data prior to securing larger investment or engagement from CDOS, or without the need to deploy expensive cloud tools.
Pilote Sciences des écosystèmes et des océans Infrastructure et habilitation
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152
Data Validation ToolUse large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose corrections and normalize data into a standardized format.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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151
Zooplankton image analysisUse 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
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147
Optical Character Recognition Data transcription toolThis completed project built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. tested on ~100 year old salmon observations and present-day salmon stream inspection logs to determine the cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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145
Automatic detection of unidentified fish soundsThis completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to detect fish sounds collected on a passive acoustic monitoring project. The result is an easy-to-use, open-source software called FishSoundFinder, implemented with the CNN detector.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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144
Factoid Finder ToolThis completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implement semantic search techniques, allowing users to search the library for relevant passages within the PDFs.
Pilote Sciences des écosystèmes et des océans IA cognitive et générative
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137
Method Recommendation EngineA large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide the best procedure to use for their work
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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135
PII & Sensitivity ScoresDetermines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in the document.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant InformationUsing LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed by SMEs to ensure accuracy and relevancy.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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132
Salmon Scale AgingA 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
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130
Salmon Data DigitizationDigitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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128
CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-makingGeospatial and machine learning techniques will be applied to determine the overall effect, stress(or) interactions, and relative influences of different stresses(ors) on fish metrics such as species occupancy, population status or community status.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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127
Automated assessment of Crowd Source BathymetryThe Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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126
Automated assessment of satellite imageryAI routines are being developed and tested to assess large volume of satellite imagery and data to: i) Automatically Identify marine hazards and ii) Change detection – i.e. shorelines or riverbank changes.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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125
Automated Paper Chart SolutionCHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).
Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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124
Development of an underwater videography and AI system for studying fish passage effectivenessDesigned to train existing DFO tools with information on fish passage effectiveness and develop an SOP for training videography-based AI models in support of fish passage projects.
Pilote Sciences des écosystèmes et des océans Perception et compréhension
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123
Fish-Habitat AssociationsExtraction of relevant habitat association info and strengths based on vetted literature input to AI for synthesis. Goal to improve equivalency models used in regulatory decisions. Possible partnership with McMaster University.
Pilote Sciences des écosystèmes et des océans IA cognitive et générative