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)
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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.
Pilot Ecosystems and Oceans Science Perception and Understanding
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104
Zooplankton classification from Video Plankton RecorderUsing 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
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7
Virtual ITSD agent for clientsThe 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.
Ideation Chief Digital Officer Interaction and Engagement
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23
Video Summarization for Aerial SurveillanceAI 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
Pilot Programs Sector Perception and Understanding
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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
Pilot Ecosystems and Oceans Science Cognitive and Generative AI
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96
Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitatsThis 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.
Pilot Ecosystems and Oceans Science Perception and Understanding
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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.
Pilot Ecosystems and Oceans Science Perception and Understanding
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27
Turn on AI Auto labeling on all M365 documents and communications channelsOur 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.
Ideation Chief Digital Officer Automation and Decision Support
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81
Topaz AI SoftwareEnhance 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
Pilot Ecosystems and Oceans Science Perception and Understanding
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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.
Pilot Ecosystems and Oceans Science Automation and Decision Support
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240
The CurrentDon'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.
Development Fisheries Management Perception and Understanding
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75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye SalmonThe 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
Ideation Ecosystems and Oceans Science Automation and Decision Support
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68
Stereo camera image analysisTools 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)
Pilot Ecosystems and Oceans Science Perception and Understanding
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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
Ideation Ecosystems and Oceans Science Infrastructure and Enablement
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69
Species distribution modelingSpecies distribution models for various coral/sponge/groundfish Random Forests
Pilot Ecosystems and Oceans Science Automation and Decision Support
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231
Smart AssystAssyst 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.
Ideation Chief Digital Officer Interaction and Engagement
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189
Site AssessmentsAutomatically 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.
Ideation On hold Indigenous Affairs, Aquaculture and Governance Perception and Understanding
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228
SILScannerDeploy 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.
Pilot Chief Digital Officer Perception and Understanding
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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.
Pilot Ecosystems and Oceans Science Perception and Understanding
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SAP AI ChatbotSAP AI Chatbot to reduce support requests that need FMA resources
Ideation Interaction and Engagement
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8
SAP AI AgentSAP AI Agent to validate financial transaction coding with invoices
Ideation Chief Digital Officer Automation and Decision Support
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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.
Pilot Ecosystems and Oceans Science Perception and Understanding
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49
Salmon Fence CountingA model using computer vision to analyze water stream fence video-footage, to simultanously count the number of and predict the species of salmon. YOLO 11 Chinook trained on 735 annotated frames from 63 videos Coho trained on 432 annotated frames from 44 videos Sockeye trained on 1149 annotated frames from 36 videos Chum untrained (annotation of 1368 frames from 43 videos in progress) Pink Humpback
Pilot Programs Sector Perception and Understanding
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50
Salmon Data Digitization (See B22, B26)Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis. Document Intelligence - Custom Classification and Extraction Model Azure OpenAI GPT4o mini Data and Information from ~45,000 pages have been digitized
Pilot Programs Sector Perception and Understanding
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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.
Pilot Ecosystems and Oceans Science Perception and Understanding