Registre des initiatives en IA

197 initiative(s) courante(s)

• 254

  Amélioration de la qualité des données sur les prises et l'effort de pêche

  The creation of a tool or system to use administrative data records to produce a clean and complete database of trip level catch and effort data.

  Idéation Politiques stratégiques

• 2

  Gestion du changement et AI

  We wish to leverage AI for the change management group. this will leverage copilot for now or more elevated tools, but it will, consolidate the meeting notes, and leverage a sharepoint site to gather related information. we would also like it to be able to review the impact and provide an unofficial assessement We would only need readyness and support to look into it.

  Idéation Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)

• 179

  Centre d’excellence en gestion du changement – Assistant IA

  Change Management Centre of Excellence – AI Assistant: Using a Copilot agent as our dedicated assistant to support the sector by providing answers to questions on change management strategies, services, tools and templates.

  Idéation Politiques stratégiques IA cognitive et générative IA conversationnelle et assistants virtuels

• 120

  Characterizing areas of convergence in the Saint John Harbour

  This project is using a technique called self-organizing maps, which is an unsupervised machine learning algorithm, to identify patterns in areas of convergence near the Saint John Harbour. The preliminary analysis suggests that these patterns are related to different environmental conditions such as river discharge and tidal phase. The work has been conducted in collaboration with scientists from the Maritimes Region and is currently on hold.

  Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive

• 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.

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

• 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 Vision par ordinateur

• 128

  CICADA (cumulative effects spatial data tool) Phase 2: determining stressor effects and interactions to inform decision-making

  Geospatial 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 Analytique prédictive

• 18

  Classification AI

  Classification AI (Mark Jarvis) to help with the creation of job descriptions/tasks and analyze job descriptions to help with SoMCs

  Idéation Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)

• 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 Analytique prédictive

• 188

  Coastal Surveillance

  Automatically process thousands of drone images as part of continuous surveillance Solution being developed in region to assist C&P in batch processing of drone surveillance images.

  Pilote Affaires autochtones, aquaculture et gouvernance Perception et compréhension Vision par ordinateur

• 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.

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

• 253

  Tri des plaintes

  triage of email notifications to auto-distribute to an appropriate email inbox, based on the location of the information received

  Idéation Conservation et protection

• 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 Analytique prédictive

• 119

  Computer vision to automate fish data extraction from video

  Our purpose has been to build a tool to broadly apply computer vision methods in marine research. Our work has generated several publications illustrating how we built, tested/validated, and applied computer vision methodology to collect / extract / and analyze data pertaining to marine fish in the Newfoundland and Labrador region, from video. For example, we have used it to examine the impact of seismic surveying on commercial fish in the Newfoundland and Labrador offshore. Our continuing purpose is now broadly sharing our system with commercial harvesters (fishermen), non-profit organization (AHOI), government researchers (aquaculture, MPAs, AIS), and academics (computing scientists), to collect and rapidly analyzing video data for a wide range of applications.

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

• 230

  Mise en œuvre de la plateforme Copilot Studio

  With the growing interest from CDOS and the rest of the department on custom AI Chat Bots and Citizen Development, there is an opportunity to increase IT enablement through the use of low code solutions. Since the department has already invested indirectly in the Power Platform, it makes sense to extend that investment into the proper implementation of Microsoft Copilot Studio which is another tool from the Power Platform rapid development platform.

  Idéation Dirigeant principal du numérique Infrastructure et habilitation MLOps et gestion des modèles

• 101

  Creating space-time continuous surface chlorophyll fields for northwest Atlantic using  neural network methods 

  Neural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atlantic. The generated dataset will be validated and analyzed.   

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative Analytique prédictive

• 21

  CSAS Knowledge Base Creation

  This solution leverages the Radia AI Assistant developed by the Department of Innovation, Science and Economic Development (ISED). The purpose of the initiative is to create a knowledge base of CSAS publications from the last 25 years. This knowledge base would allow anyone to leverage the AI Assistant to extract trends, data, and information in such a way as to plot new visualizations by unleashing the information held within the publication repository. This initiative has a Statement of Work with ISED and it is being scoped out for amount of work and cost. All indicators to date show that this is a very workable knowledge base development.

  Idéation IA cognitive et générative Gestion des connaissances

• 57

  CSAS Knowledge Graph

  Using LLM to extract ontologies and relationships within published CSAS reports into a Graph RAG so that users can visualize and query relationships between researches

  Idéation Secteur des programmes IA cognitive et générative Gestion des connaissances

• 32

  CTD Anomaly Detection

  The goal of this project is to apply machine learning to detect anomalous oceanographic data, highlighting meaningful physical phenomena in the state of the ocean for closer investigation by scientists. A proof of conept model has been developed to demonstrate feasibility. Further validation is required with the client to verify alignment with the needs of scientists. Client: Pacific Region - Ocean Sciences Division

  Pilote Politiques stratégiques Perception et compréhension Analytique prédictive

• 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 Analytique prédictive

• 41

  Cyber Security Operation

  Cyber Security Operation Centre has deployed AI/ML in MS Defender (Endpoint Detection and Response (EDR) system), MS Sentinel (Security Incident and Event Management (SIEM) system), Data Lost Prevention (DLP), and Exchange Online Protection (EOP) for real-time threat detection.

  Production Dirigeant principal du numérique Automatisation et aide à la décision Analytique prédictive

• 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 IA générative (texte, images, code)

• 84

  Daily Use

  Dashboard Development, Used the standalone M365 version of Copilot to assist with coding.

  Pilote Secteur des programmes IA cognitive et générative IA générative (texte, images, code)

• 85

  Daily Use

  Bing CoPilot, ChatGPT-4 Emails, documents, speaking points, ideas

  Pilote Secteur des programmes IA cognitive et générative IA générative (texte, images, code)

• 169

  Dark Vessel Detection Platform

  Utilizes 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 Vision par ordinateur