AI / ML Consulting & Research

Our Artificial Intelligence (AI) and Machine Learning (ML) Consulting & Research services are fundamental components for today’s technological innovation and operational efficiency, allowing organizations towards never-before-seen levels of success. Our expertise lies in creating custom AI and ML solutions that are tailored to your project’s specific needs.

Our abilities cover a wide range of needs, such as the development of Training Data Infrastructure & Tools for precise AI systems or Vulnerability Assessment & Model Hardening to protect your models from constantly evolving challenges. We explore various areas of machine learning theory that will enhance your decision-making and predictive analysis.

Typical Projects

Training Data Infrastructure & Tools

The foundation for managing, processing, and organizing large datasets is provided by machine learning training data infrastructure and tools, which make it possible to train accurate and reliable models efficiently.

The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment | IEEE Conference Publication | IEEE Xplore

Vulnerability Assessment & Model Hardening

In machine learning, vulnerability assessment and model hardening entail methodically locating and fixing possible flaws in models to strengthen their defences against intrusions and guarantee their reliable operation in complex settings.

Our Head of AI/ML Research, Angus Galloway, has published several publications on adversarial machine learning as part of PhD thesis:

a. [1711.00449] Attacking Binarized Neural Networks (arxiv.org)

b. [1905.02161] Batch Normalization is a Cause of Adversarial Vulnerability (arxiv.org)

c. [1804.03308] Adversarial Training Versus Weight Decay (arxiv.org)

Machine Learning Theory

In machine learning (ML), machine learning theory explores the mathematical foundations of algorithms, offering insights into their behaviour, efficacy, and constraints as well as directing the creation of more dependable and efficient models.

[2207.09408] Bounding generalization error with input compression: An empirical study with infinite-width networks (arxiv.org)

Computer Vision & Lakebed Image Analysis

In machine learning, computer vision and lakebed image analysis use sophisticated algorithms to analyze and derive valuable information from underwater imagery, supporting the study and assessment of aquatic environments.

Automatic lakebed analysis for invasive mussel and Cladophora biomass. As featured by:

a. Researchers Bringing AI Smarts to Monitor for Invasive Great Lakes Mussels – U of G News (uoguelph.ca)

b. AI technology could be used to monitor invaders in the Great Lakes | Great Lakes Now

c. New AI framework helps map and manage invasive mussel species in Canada’s lakes – Vector Institute for Artificial Intelligence

d. AI Meets Ecology: Monitoring Invasive Species with Angus Galloway – Centre for Social Innovation