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)

Registre des initiatives en IA
ID	Initiative en IA	Étape	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
85	Daily Use Non traduit · origine : anglais	Pilote	Bing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Newman, Candace
84	Daily Use Non traduit · origine : anglais	Pilote	Dashboard Development, Used the standalone M365 version of Copilot to assist with coding.	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative	Newman, Candace
83	Daily Use Non traduit · origine : anglais	Pilote	Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision	Newman, Candace
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	Best, Merlin
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	Quan, Eric
79	Biological models to support prioritzing salmon stocks under future climates Non traduit · origine : anglais	Idéation	This project fits retrospective, life stage-specific models in a data-driven analytical framework to evaluate functional responses to climat...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Thompson, Patrick
78	Okanagan sockeye life cycle model Non traduit · origine : anglais	Pilote	Using LLM (ChatGPT) to support the development of a statistical lifecycle model for Okanagan sockeye. LLMs are not developing the models but...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Thompson, Patrick
77	Emulator for OPP port models and for relocatable ocean modelling system Non traduit · origine : anglais	Idéation	Use machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. Th...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Dunphy, Michael
76	Chumputer Vision - salmon scale age predictive AI (See B8) Non traduit · origine : anglais	Idéation	Deep Machine Learning and Convolutional Neural Network application for the predictive application of age assignment of Chum salmon by way of...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Wischniowski, Stephen
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	Thomson, Richard
74	Pacific Plankton Monitoring: Imagery and automated classification Non traduit · origine : anglais	Pilote	• Monitoring of zooplankton and phytoplankton in the water column with shipboard and benchtop plankton imaging instruments (UVP, ZooScan, Pl...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Sastri, Akash
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	Holdsworth, Amber
72	Extracting impacts data from regulatory documents Non traduit · origine : anglais	Idéation	Use OCR pdf readers, topic detection and language models to detect specific data elements inside written text documents, for extraction and...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Bird, Tom
71	News topic detection tool Non traduit · origine : anglais	Idéation	Use large language models and topic clustering to read topics emerging in the news and detect which of those topics is relevant to DFO, as w...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Bird, Tom
70	Data Validation Tool (See B6, B22) Non traduit · origine : anglais	Pilote	Use large language models to help detect errors in data transcribed using optical character recognition. Apply validation rules to propose...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Bird, Tom
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	Rooper, Chris
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	Rooper, Chris
66	Optical Character Recognition Data transcription tool (See B6, B26) Non traduit · origine : anglais	Pilote	Built a proof of concept tool to facilitate data transcription and validation from hand-written field notes. Tested on ~100 year old salmon...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Bird, Tom
65	Comprehensive marine substrate classification applied to Canada’s Pacific shelf Non traduit · origine : anglais	Pilote	We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives a...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Haggarty, Dana
64	Automatic detection of unidentified fish sounds Non traduit · origine : anglais	Pilote	We used Random Forestes and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to detect fish sounds co...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Haggarty, Dana
63	Factoid Finder Tool Non traduit · origine : anglais	Pilote	The Factoid Finder extracts text from machine-readable PDFs to create searchable content libraries. Small Language Models are used to implem...	—	Pacifique	IA cognitive et générative	Caron, Chantelle
62	Deep sea habitat, organism and object detection and identification. Non traduit · origine : anglais	Idéation	Proposing a capstone project to Computer Science students from Camosun College to develop a pipeline for identifying objects and loading the...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Best, Merlin
61	CTD data QC using ML Non traduit · origine : anglais	Pilote	Working with CDOS office to streamline our CTD QC using ML cnn and others	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Guan, Lu
59	Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin Non traduit · origine : anglais	Pilote	We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent envi...	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Holdsworth, Amber
58	Phytoplankton image classification model Non traduit · origine : anglais	Pilote	Create a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete s...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Covert, Paul

85
Daily Use
Bing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas

Pilote Secteur des programmes IA cognitive et générative
84
Daily Use
Dashboard Development, Used the standalone M365 version of Copilot to assist with coding.

Pilote Secteur des programmes IA cognitive et générative
83
Daily Use
Mapping, The AI Assist function in FME has been used to support code development for data processing while integrating and manipulating data in workbenches.

Pilote Secteur des programmes 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
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
79
Biological models to support prioritzing salmon stocks under future climates
This project fits retrospective, life stage-specific models in a data-driven analytical framework to evaluate functional responses to climate variables across the salmon life cycle and make projections for how stocks will respond to climate change scenarios. This modelling approach is intended to be sufficiently flexible to incorporate variability in data quality. Large language models are being used to brainstorm modelling approaches and debug code. AI is not being tasked with developing these models. Large Language Models

Idéation Sciences des écosystèmes et des océans IA cognitive et générative
78
Okanagan sockeye life cycle model
Using LLM (ChatGPT) to support the development of a statistical lifecycle model for Okanagan sockeye. LLMs are not developing the models but are used to brainstorm modelling approaches, debug code, and confirm that written model descriptions in manuscripts are accurate and clear. AI is not being tasked with developing these models. Large Language Models

Pilote Sciences des écosystèmes et des océans IA cognitive et générative
77
Emulator for OPP port models and for relocatable ocean modelling system
Use machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. The inference is expected to be both faster and computationally cheaper than existing solutions. The training process would use existing model output from multi-year hindcasts. Success with a fixed location would graduate to developing a relocatable emulator TBD; could be U-Net or CNN, or based on GraphCast

Idéation Sciences des écosystèmes et des océans IA cognitive et générative
76
Chumputer Vision - salmon scale age predictive AI (See B8)
Deep Machine Learning and Convolutional Neural Network application for the predictive application of age assignment of Chum salmon by way of scale images. Chum salmon has been selected as the gateway species due to its relatively easy scale pattern interpretation, this will foster the pathway forward for Chinook, Coho Sockeye and Herring as future targets for AI age interpretation. Deep Machine Learning and Convolutional Neural Network within a Python predictive algorithm

Idéation Sciences des écosystèmes et des océans Perception et compréhension
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
74
Pacific Plankton Monitoring: Imagery and automated classification
• Monitoring of zooplankton and phytoplankton in the water column with shipboard and benchtop plankton imaging instruments (UVP, ZooScan, PlanktoScope). • Application of automated classification of survey and preserved sample image data sets to complement and enhance spatial and temporal resolution of monitoring in Canada’s EEZ and offshore NE Pacific. Development of and regular optimization of automated image classification models using AI: deep learning (residual networks) and machine learning (random forests) methods.

Pilote Sciences des écosystèmes et des océans Perception et compréhension
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
72
Extracting impacts data from regulatory documents
Use OCR pdf readers, topic detection and language models to detect specific data elements inside written text documents, for extraction and analysis in a cumulative impacts context. Large lanugage models and topic clustering tools

Idéation Sciences des écosystèmes et des océans Perception et compréhension
71
News topic detection tool
Use large language models and topic clustering to read topics emerging in the news and detect which of those topics is relevant to DFO, as well as what knowledge DFO has available to address those topics. Large Language Models

Idéation Sciences des écosystèmes et des océans IA cognitive et générative
70
Data Validation Tool (See B6, B22)
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. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Llama 3.0 Large Language Model

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
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
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
66
Optical Character Recognition Data transcription tool (See B6, B26)
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 determin ethe cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts. (Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format) Computer vision (azure document intelligence),

Pilote Sciences des écosystèmes et des océans Perception et compréhension
65
Comprehensive marine substrate classification applied to Canada’s Pacific shelf
We built five regional and one coastwide substrate model for the BC coast using substrate observations and seafloor bathymetry derivatives and oceanographic predictors using Random Forests. Random Forests

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
64
Automatic detection of unidentified fish sounds
We used Random Forestes 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. Random Forests and CNN

Pilote Sciences des écosystèmes et des océans Perception et compréhension
63
Factoid Finder Tool
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. Small Language Model and Text Embedder: MS Marco Distilbert Dot-v5 Cross-encoder: MS Marco MiniLM-L6-v2

Pilote IA cognitive et générative
62
Deep sea habitat, organism and object detection and identification.
Proposing a capstone project to Computer Science students from Camosun College to develop a pipeline for identifying objects and loading the results into Biigle for human review. TBD.

Idéation Sciences des écosystèmes et des océans Perception et compréhension
61
CTD data QC using ML
Working with CDOS office to streamline our CTD QC using ML cnn and others

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
59
Clustering to characterize extreme marine conditions for the benthic region of the Northeastern Pacific continental margin
We introduce a method for characterizing extremes that uses machine learning to divide the data into regions with relatively consistent environmental conditions (temperature, oxygen, acidity), and define the extremes based on the historical statistics of variability of each of these fields. unsupervised clustering with k-means

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision
58
Phytoplankton image classification model
Create a neural network model to classify phytoplankton images collected by in-situ phytoplankton imaging sensors. There are two discrete steps to this project: 1) create a library of annotated images for model training; 2) creation and refinement of the CNN model. Convolutional Neural Network, InceptionV3 and ResNet

Pilote Sciences des écosystèmes et des océans Perception et compréhension