AI initiative registry

Every initiative listed in the registry can be consulted here, without an account. Each record shows its progress, its milestones and the history of its decisions. Requests still under triage do not appear: they join the registry once reviewed.

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198 current initiative(s)

AI initiative registry
ID	AI Initiative	Stage	Description	Sector	Region	AI Bucket	SME
163	Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marine Not translated · original: French	Pilot	Nous utilisons les technologies d’apprentissage profond (deep learning) et les détecteurs pour la détection et identification en temps réal...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
104	Zooplankton classification from Video Plankton Recorder	Pilot	Using machine learning algorithms to identify plankton for rapid zooplankton classification from the Video Plankton Recorder, in support of...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
102	Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)	Pilot	Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate pro...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
161	Remote sensing of the internal tide in the St. Lawrence	Pilot	Using model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
159	Chumputer Vision - salmon scale age predictive AI	Pilot	Deep Machine growth pattern Learning of chum salmon scales for predictive age assignments by way of scale pattern interpretation.	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
155	A VPN-accessible data science environment	Pilot	Set up a CDOS-managed Linux desktop to allow a safe and powerful data science environment where Scientists can sagely test data science tool...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
152	Data Validation Tool	Pilot	Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
151	Zooplankton image analysis	Pilot	Use Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of p...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
147	Optical Character Recognition Data transcription tool	Pilot	This completed project built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. tested...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
145	Automatic detection of unidentified fish sounds	Pilot	This completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to de...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
144	Factoid Finder Tool	Pilot	This completed project used the Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Langua...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
137	Method Recommendation Engine	Pilot	A large language model reviews a scientist’s objective for collecting data in the field and based on the criteria, the model will provide th...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
135	PII & Sensitivity Scores	Pilot	Determines the sensitivity of the content of a document based on a trained model and allows for the redaction of the sensitive material in t...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
103	Improved understanding of the processes impacting harmful algal blooms	Pilot	Using machine learning algorithms to analyze phytoplankton images from the Imaging Flow Cytobot (IFCB) to recognize and quantify species ass...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
133	LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information	Pilot	Using LLM to extract key information from documents with multiple templates using prompt engineering approaches. These results are reviewed...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
132	Salmon Scale Aging	Pilot	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...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
130	Salmon Data Digitization	Pilot	Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, an...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda
110	Mercator Collaboration on Digital Twins of the Ocean	Pilot	Knowledge exchanges with ECCC and Mercator Océan International on use of AI for ocean modelling, in the context of Digital Twins of the Ocea...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
115	PublicLens: Science in Plain Language	Pilot	Leverages AI to transform highly technical scientific and documents into accessible, plain-language summaries for the Canadian public. Foste...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
114	InsightBridge: Executive CSAS Summaries	Pilot	Uses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances...	Ecosystems and Oceans Science	National Capital Region	Cognitive and Generative AI	Winegardner, Amanda
113	Improving forecasting for high-priority ports	Pilot	Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI m...	Ecosystems and Oceans Science	National Capital Region	Automation and Decision Support	Winegardner, Amanda
112	ECCC exchanges on use of AI for ocean modelling	Pilot	Exchanges with ECCC on implementation of machine learning methods for operational ocean forecasting, including potential uses for DFO models...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
111	Digital Twins of the Ocean Task Team	Pilot	National exchanges on topics relating to ocean modelling for development of Digital Twins of the Ocean, including use of AI for modelling an...	Ecosystems and Oceans Science	National Capital Region	Infrastructure and Enablement	Winegardner, Amanda
107	AI tools for translations	Pilot	AI translation tools for all non project-specific communications (e.g., emails, meeting notes, internal taskings). Additional AI tools are n...	Ecosystems and Oceans Science	National Capital Region	Interaction and Engagement	Winegardner, Amanda
105	Combining artificial intelligence and drone imagery for automatic extraction of morphometric attributes of small cetaceans: Application to the St. Lawrence Estuary Beluga population.	Pilot	This project proposes to use a multiyear time series of drone images of the St. Lawrence Estuary Beluga population to develop a series of al...	Ecosystems and Oceans Science	National Capital Region	Perception and Understanding	Winegardner, Amanda

163
Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marine
Nous 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.

Pilot Ecosystems and Oceans Science Perception and Understanding
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.

Pilot Ecosystems and Oceans Science Perception and Understanding
102
Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)
Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate projections at a much higher spatial resolution across six eastern MPAs.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
161
Remote sensing of the internal tide in the St. Lawrence
Using 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.

Pilot Ecosystems and Oceans Science Perception and Understanding
159
Chumputer Vision - salmon scale age predictive AI
Deep Machine growth pattern Learning of chum salmon scales for predictive age assignments by way of scale pattern interpretation.

Pilot Ecosystems and Oceans Science Perception and Understanding
155
A VPN-accessible data science environment
Set 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.

Pilot Ecosystems and Oceans Science Infrastructure and Enablement
152
Data Validation Tool
Use 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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
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.

Pilot Ecosystems and Oceans Science Perception and Understanding
147
Optical Character Recognition Data transcription tool
This 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.

Pilot Ecosystems and Oceans Science Perception and Understanding
145
Automatic detection of unidentified fish sounds
This 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.

Pilot Ecosystems and Oceans Science Perception and Understanding
144
Factoid Finder Tool
This 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.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
137
Method Recommendation Engine
A 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

Pilot Ecosystems and Oceans Science Automation and Decision Support
135
PII & Sensitivity Scores
Determines 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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
103
Improved understanding of the processes impacting harmful algal blooms
Using machine learning algorithms to analyze phytoplankton images from the Imaging Flow Cytobot (IFCB) to recognize and quantify species associated with harmful algal blooms.

Pilot Ecosystems and Oceans Science Perception and Understanding
133
LLM Document Extraction - Prompt Engineering to Retrieve Relevant Information
Using 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.

Pilot Ecosystems and Oceans Science Automation and Decision Support
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.

Pilot Ecosystems and Oceans Science Perception and Understanding
130
Salmon Data Digitization
Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis.

Pilot Ecosystems and Oceans Science Perception and Understanding
110
Mercator Collaboration on Digital Twins of the Ocean
Knowledge exchanges with ECCC and Mercator Océan International on use of AI for ocean modelling, in the context of Digital Twins of the Ocean.

Pilot Ecosystems and Oceans Science Infrastructure and Enablement
115
PublicLens: Science in Plain Language
Leverages AI to transform highly technical scientific and documents into accessible, plain-language summaries for the Canadian public. Fosters transparency and builds public trust by making scientific and government information easily understandable. Promotes civic engagement by breaking down barriers between experts and everyday Canadians.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
114
InsightBridge: Executive CSAS Summaries
Uses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances leadership understanding and accelerates informed decision-making by providing easily digestible insights. Ensures executives can quickly grasp critical information without sifting through dense documentation.

Pilot Ecosystems and Oceans Science Cognitive and Generative AI
113
Improving forecasting for high-priority ports
Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.

Pilot Ecosystems and Oceans Science Automation and Decision Support
112
ECCC exchanges on use of AI for ocean modelling
Exchanges with ECCC on implementation of machine learning methods for operational ocean forecasting, including potential uses for DFO models.

Pilot Ecosystems and Oceans Science Infrastructure and Enablement
111
Digital Twins of the Ocean Task Team
National exchanges on topics relating to ocean modelling for development of Digital Twins of the Ocean, including use of AI for modelling and products.

Pilot Ecosystems and Oceans Science Infrastructure and Enablement
107
AI tools for translations
AI translation tools for all non project-specific communications (e.g., emails, meeting notes, internal taskings). Additional AI tools are needed to translate larger projects, as relying on the Translation Bureau is costly and introduces delays in deliverables.

Pilot Ecosystems and Oceans Science Interaction and Engagement
105
Combining artificial intelligence and drone imagery for automatic extraction of morphometric attributes of small cetaceans: Application to the St. Lawrence Estuary Beluga population.
This project proposes to use a multiyear time series of drone images of the St. Lawrence Estuary Beluga population to develop a series of algorithms for automatic extraction of morphometric information of individual beluga whales using AI.

Pilot Ecosystems and Oceans Science Perception and Understanding