AI initiative registry
Every initiative listed in the registry can be consulted here, without an account. Each record shows its progress, its milestones and the history of its decisions. Requests still under triage do not appear: they join the registry once reviewed.
221 initiative(s)
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IA-2026-0126
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’Pilot Ecosystems and Oceans Science
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IA-2026-0127
AI tools for translationsPilot Ecosystems and Oceans Science
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IA-2026-0128
Finwave: an online photo-identification database and AI matching toolPilot Ecosystems and Oceans Science
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IA-2026-0129
Combining artificial intelligence and drone imagery for automatic extraction of morphometric attributes of small cetaceans: Application to the St. Lawrence Estuary Beluga population.Pilot Ecosystems and Oceans Science
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IA-2026-0130
Zooplankton classification from Video Plankton RecorderPilot Ecosystems and Oceans Science
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IA-2026-0131
Improved understanding of the processes impacting harmful algal bloomsPilot Ecosystems and Oceans Science
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IA-2026-0132
Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)Pilot Ecosystems and Oceans Science
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IA-2026-0133
Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methodsPilot Ecosystems and Oceans Science
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IA-2026-0134
Development of AI technology for otolith and scale ageingPilot Ecosystems and Oceans Science
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IA-2026-0135
Improved freshwater runoff modelling in Eastern Canada to drive ocean modelsPilot Ecosystems and Oceans Science
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IA-2026-0136
Guidance on Optimal Timing for Environmental DNA (GOTeDNA)Pilot Ecosystems and Oceans Science
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IA-2026-0137
Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence.Pilot Ecosystems and Oceans Science
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IA-2026-0138
Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitatsPilot Ecosystems and Oceans Science
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IA-2026-0139
Optimization of Machine Learning modelling strategy for coastal zooplankton taxonomic identification from flow microscopy imaging.Pilot Ecosystems and Oceans Science
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IA-2026-0140
DFO Bot, deep learning application to analyse otolith images available in DFO DotsPilot Ecosystems and Oceans Science
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IA-2026-0141
Détection de homards et de crabes communs dans les images sous-marines par intelligence artificielle.Pilot Ecosystems and Oceans Science
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IA-2026-0142
Identification automatisée de la condition de carapace de crabe des neigesPilot Ecosystems and Oceans Science
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IA-2026-0143
Localization and Tracking of Beluga Whales in Aerial video Using Deep LearningPilot Ecosystems and Oceans Science
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IA-2026-0144
Deep Learning Enhances Beluga Whale Research in the ArcticPilot Ecosystems and Oceans Science
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IA-2026-0145
Augmenting Whale Detection in Satellite Images using synthetic dataPilot Ecosystems and Oceans Science
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IA-2026-0146
Development of an AI matching model for bowhead whale photo-identificationPilot Ecosystems and Oceans Science
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IA-2026-0147
ANMPA Habitat Mapping ProjectPilot Ecosystems and Oceans Science
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IA-2026-0148
Automatic detection of Arctic whales in aerial imagesPilot Ecosystems and Oceans Science
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IA-2026-0149
Daily UsePilot Programs Sector
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IA-2026-0150
Daily UsePilot Programs Sector