Registre des initiatives en IA

198 initiative(s) courante(s)

• 132

  Salmon Scale Aging​

  A 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.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 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.

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

• 103

  Improved understanding of the processes impacting harmful algal blooms

  Using machine learning algorithms to analyze phytoplankton images from the Imaging Flow Cytobot (IFCB) to recognize and quantify species associated with harmful algal blooms.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 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.

  Pilote 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

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

• 144

  Factoid Finder Tool

  This completed project used 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.

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative

• 145

  Automatic detection of unidentified fish sounds

  This completed project used Random Forests 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.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 147

  Optical Character Recognition Data transcription tool

  This completed project 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 determine the cost/feasibility/effectiveness of implementing such a tool in Salmon monitoring contexts.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 151

  Zooplankton image analysis

  Use 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.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 152

  Data Validation Tool

  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.

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

• 155

  A VPN-accessible data science environment

  Set up a CDOS-managed Linux desktop to allow a safe and powerful data science environment where Scientists can sagely test data science tools on Protected B data prior to securing larger investment or engagement from CDOS, or without the need to deploy expensive cloud tools.

  Pilote Sciences des écosystèmes et des océans Infrastructure et habilitation

• 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

• 161

  Remote sensing of the internal tide in the St. Lawrence

  Using model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data and 2) train an AI to detect internal tide in SWOT data.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 102

  Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)

  Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate projections at a much higher spatial resolution across six eastern MPAs.

  Pilote Sciences des écosystèmes et des océans IA cognitive et générative

• 163

  Recherches sur l’Intelligence artificielle pour le traitement automatisé des données d’acoustiques sous-marine

  Nous utilisons les technologies d’apprentissage profond (deep learning) et les détecteurs pour la détection et identification en temps réal des espèces de mammifères marins telles que la baleine noire de l’Atlantique.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 220

  Development of an underwater videography and AI system for studying fish passage effectiveness

  Designed to train existing DFO tools with information on fish passage effectiveness and develop an SOP for training videography-based AI models in support of fish passage projects.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 90

  Deep Learning Enhances Beluga Whale Research in the Arctic

  Esri Canada built a deep learning model that automatically detects beluga whales in imagery. The model was developed using satellite, drone and aerial imagery and reported accuracy is high, but the model has not been tested by DFO Science yet.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 89

  Augmenting Whale Detection in Satellite Images using synthetic data

  An autodetector model was built to detect whales in satellite imagery using synthetic imagery. The primary author is now testing the algorithm on satellite imagery obtained by Arctic Region that has been manually read for whales.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 88

  Development of an AI matching model for bowhead whale photo-identification

  Using DFO’s existing database of bowhead whale photographs, the specific objectives are: 1) Create a machine learning model “detector” for bowhead whales. 2) Create a machine learning individual re-ID model for bowhead whales to re-identify bowheads. 3) To make the detector and matching models accessible through an easy to use, freely available, web-based application, Flukebook.org.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 87

  ANMPA Habitat Mapping Project

  Drop camera survey to document seafloor habitats and biological communities in the Anguniaqvia niqiqyuam Marine Protected Area (ANMPA) in the Inuvialuit Settlement Region. A project sub-objective is to develop AI capacity to detect and record bottom habitat classifications and benthic animals from video still-images, substantially reducing processing times.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 86

  Automatic detection of Arctic whales in aerial images

  In collaboration with Dr. David Clausi and his team at the Vision and Image Processing (VIP) Research Lab (University of Waterloo), we have been developing an algorithm to detect narwhals and belugas in photos from aerial surveys. We are planning to expand to ice seals and walrus.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension

• 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

• 224

  Remote Observation of Watercraft on Roads

  The Aquatic Invasive Species Program is proposing to launch a pilot initiative aimed at addressing a critical knowledge gap in our understanding the spread of aquatic invasive species. Invasive species can attach to boats, trailers, and related equipment—a process commonly referred to as the "stowaway pathway"—which enables their unintentional spread across ecosystems when watercraft are transported between water bodies. The AIS Program is seeking to understand watercraft movement into Canada via international land border crossings. Currently, the extent of this "stowaway" pathway remains largely unquantified. To address this, the pilot will deploy remote camera systems at select border entry points to capture imagery of incoming vehicles. Leveraging machine learning, the system will automatically identify and flag images containing watercraft. This data-driven approach will provide actionable insights to inform strategic decisions on the timing and placement of watercraft inspection and decontamination resources. This initiative may represent a significant step toward enhancing our ability to proactively manage aquatic invasive species risks at key entry points.

  Pilote Perception et compréhension

• 223

  Évaluation automatisée des images satellitaires

  AI routines are being developed and tested to assess large volume of satellite imagery and data to: i) Automatically Identify marine hazards and ii) Change detection – i.e. shorelines or riverbank changes.

  Pilote Sciences des écosystèmes et des océans Perception et compréhension