Registre des initiatives en IA

198 initiative(s) courante(s)

• 189

  Site Assessments

  Automatically 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.

  Idéation En pause Affaires autochtones, aquaculture et gouvernance Perception et compréhension

• 184

  Recherches dans les courriels en réponse à des demandes

  Leverage M365 Copilot functionalities to leverage AI to perform email searches in response to certain requests, including those related to ATI/P

  Idéation Secteur des programmes Automatisation et aide à la décision

• 182

  Traductions de base et traitement des données

  We have identified several effective use cases: Processing machine readable data into human readable formats, basic translations, and summarizing large documents and reports into digestible formats. We participated in tests of the DFO Pilot ChatGPT (GPT3) which was available prior to the DFO implementation of MS Copilot. As part of our testing, we identified several effective use cases which apply to both options since they're based on the same under

  Idéation Secteur des programmes IA cognitive et générative

• 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

• 178

  Procès-verbaux des décisions des comités de gouvernance relevant du DPD

  Records of Decision for Governance Committees Supporting the Chief Digital Office: Leveraging the transcript function in Microsoft Teams to formalize records of decision and streamline follow-up on action items.

  Idéation Politiques stratégiques Automatisation et aide à la décision

• 177

  Resume Bank Analysis

  Resume bank analysis: summarizing candidates resumes in our digital skills bank to provide consistent summaries (remove biases) and potentially providing side by side comparisons of candidate resumes or searching for skills

  Idéation Politiques stratégiques Automatisation et aide à la décision

• 176

  Analysis of roles

  Analysis of roles: Ad hoc analysis of roles within C&P, comparing 4 different roles and their responsibilities.

  Idéation Politiques stratégiques Automatisation et aide à la décision

• 219

  Fish-Habitat Associations

  Extraction 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.

  Idéation Sciences des écosystèmes et des océans IA cognitive et générative

• 201

  Maximize detections with AI of the aquatic autonomous environmental DNA (eDNA) sampler

  This Canadian apparatus provides detections of aquatic species through a standardized and reproducible method. Algorithms of AI analyze data from buoy-mounted sensors to determine optimal sampling windows, such as the presence of toxic phytoplankton bloom, and to perform quality assurance on sampling metadata.

  Idéation Automatisation et aide à la décision

• 175

  AI model for duplcate or dubious licence accounts

  Licencing systems hold 10 times the amount accounts compared to licences issued. Many duplicate and dubious accounts across the millions of accounts. An AI model to discover duplicate/dubious accounts to highlight them for human review and action.

  Idéation Secteur des programmes Automatisation et aide à la décision

• 174

  AI model for Video review

  An AI model that reviews video monitoring footage for a fishery or given vessel and machine learns potential events of non compliance

  Idéation Secteur des programmes Perception et compréhension

• 173

  AI model for the traceability of harvested fish

  An AI model that analysis incoming data requirements ( log books, fish slips, Other traceability documents required by existing and potentially new regulations connected to public reporting apps )

  Idéation Secteur des programmes Automatisation et aide à la décision

• 172

  AI model for Condtions of Licences review

  Pac has 130 COls. These have been individually edited over the past decades. An AI model to search and identify difference in wording for similar Conditions

  Idéation Secteur des programmes Automatisation et aide à la décision

• 167

  Network model developing and testing with synthetic AI participants.

  Qualitative network models (QNM) can incorporate uncertainty through an ensemble of rights holder and stakeholder inputs. Before, engaging these communities, QNMs should be tested and this can be done via the development of synthetic AI participants representing viewpoints to engage with potential social uncertainty before actual real world deployment

  Idéation Sciences des écosystèmes et des océans IA cognitive et générative

• 164

  Development of an abundance index for an under surveyed capelin stock

  Recherche qui vise à utiliser des méthodes d’apprentissage automatique (machine learning) dans le but de classifier les signaux acoustiques du capelan dans le Golfe du St-Laurent.

  Idéation Sciences des écosystèmes et des océans Automatisation et aide à la décision

• 162

  Recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.

  Projet de contribution avec le Centre de développement et de recherche en intelligence numérique (CDRIN). L’objectif est de concevoir et développer un outil d’intelligence artificielle permettant de détecter et suivre les organismes benthiques filmés dans refuges marins des coraux et des éponges du Golfe du Saint-Laurent.

  Idéation Sciences des écosystèmes et des océans Perception et compréhension

• 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

• 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

• 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

• 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

• 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