Registre des initiatives en IA

63 initiative(s)

• 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

• 117

  PolyDocs: Format and Translate for CSAS

  A modular, bilingually-optimized (EN/FR) application that automates the formatting, quality assurance, and standardization of complex Word documents to meet Government of Canada publishing requirements. The tool orchestrates a highly configurable, low-code assembly line that handles deep document cleanup (resolving fragmented text, localizing punctuation/number conventions, and rebuilding tables of contents), applies localized terminology glossaries, and reduces file sizes for accessibility.

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

• 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 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

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

• 125

  Automated Paper Chart Solution

  CHS is working closely with software provider CARIS to test and implement automated solution to generate Paper Charts from digital data sources. AI routines will improve speed and accuracy of solutions (machine learning) as software is refined to ensure product specifications are respected (as they are used for official navigation).

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

• 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.

  Pilot Secteur des programmes Automatisation et aide à la décision

• 98

  Guidance on Optimal Timing for Environmental DNA (GOTeDNA)

  Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

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

• 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

  Pilot 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

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

• 44

  HRMS helpdesk in Power Apps – Power Automate – Sharepoint

  Use AI to determine the correct templatae response to client questions. We would like to use Protected B data (helpdesk requests already answered) as training data.

  Pilot Ressources humaines et services de gestion Automatisation et aide à la décision

• 31

  Quality control of oceanographic data - Maritimes Region

  The goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data

  Pilot Politiques stratégiques Automatisation et aide à la décision

• 24

  Automated Identification of Vessel Fishing Activity

  Piloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost compliance coverage and response. Action plan for this initiative: 1. Governance: Supervised under compliance analytics team, reporting to C & P management. 2. Guardrails: Apply strict controls (no personal data), validate accuracy in live pilots, monitoring for unintended use.

  Pilot Secteur des programmes Automatisation et aide à la décision

• 3

  Labels Pilot

  We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a user's classification. if we could fund the "query" fund for the user community we could point the Free agent to consume DFO specific Information on Information Classification. as for the other option we will need to ensure we have items to feed the machine learning.

  Pilot Dirigeant principal du numérique Automatisation et aide à la décision

• 61

  CTD data QC using ML

  Working with CDOS office to streamline our CTD QC using ML cnn and others

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

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

• 99

  Improved freshwater runoff modelling in Eastern Canada to drive ocean models

  Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.

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

• 116

  BinderBot: A Smart Planning Binder

  Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines the planning binder process by automatically assembling targeted, information ready for executive review. Saves valuable administrative time and ensures that binder materials are both comprehensive and user-friendly.

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

• 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.

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

• 121

  Develop a deep-learning model to age capelin otoliths: application for stock assessment

  Investigate the utility of applying a deep-learning model developed by the DFO Gulf Region for aging fish otoliths; specifically, to determine the age of capelin in the 2J3KL stock in Newfoundland for use in stock assessments. Otolith aging is currently done visually using a microscope, this proposed method would automate that process to save time and resources, while reducing human error and bias

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

• 248

  Analyse des tracés AIS en mer

  Analyse des tracés AIS en utilisant l'IA: un IA a été créé pour analyser les tracés de bateau et déterminer si des activités de pêche ont lieu. Un pipeline pour les données AIS est en cours de création pour acheminer les données à l'AI. Les coordonnées des ZPM et zones de coraux éponges ont été fournies et si des activités dans ces zones sont détectées, l'info sera fournie à l'équipe de surveillance aérienne et maritime pour suivi 

  Pilot Conservation et protection Automatisation et aide à la décision

• 127

  Automated assessment of Crowd Source Bathymetry

  The Community Hydrography team is working with the University of New Brunswick (UNB) on a tool-kit that will automate the assessment of large volumes of crowd source data. AI routines will allow for automated QC, and drafting of Navigation Warnings.

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

• 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.

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

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

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

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