Behavioural disorders are linked to circadian rhythm disruption. Circadian rhythms are behavioural responses to daily environmental changes, like light/dark cycles. Such behavioural responses are regulated by circadian clocks, which are biochemical time keeping machines that control the daily expression of several hundred genes. There is a circadian clock hypothesis of behavioural disorders that offers a […]

Wire Arc Additive Manufacturing (WAAM) is a promising technology for fabricating large metal components, but consistent thermal monitoring is challenging due to camera positioning variability. This project addresses that issue by developing two key systems: a pre-calibrated mounting jig and a fixed calibration fixture. The partner organization, which operates a WAAM system, requires precise camera […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

Pipelines are a critical component of energy infrastructure but are vulnerable to threats such as cracks and geohazards, which can cause severe failures. To mitigate these risks, cost-effective integrity management is essential, aiming to operate pipelines effectively and efficiently by maintaining safety and delivering economic benefits. The intern’s PhD project proposes a Risk based Inspection […]

During this Accelerate internship, we will push ZPC’s current dilution refrigerators to new heights of performance and reliability by harnessing modern machine-learning and AI techniques.

This project aims to develop an innovative, low-cost technology to prevent methane leaks from oil storage tanks, addressing a significant source of greenhouse gas emissions. Traditional tank valves either release harmful gases into the air or are costly to operate. Our proposed solution is a specialized membrane valve that allows harmless gases, such as nitrogen […]

Surgical trainees, our primary users in medical schools and teaching hospitals, face a critical barrier: limited access to consistent, expert-guided, hands-on practice. This limitation originates from the constraints of the conventional surgical training model, which depends heavily on the physical presence of expert surgeons. To address this limitation, we are constructing a robot-assisted surgical training […]

Cities and lighting companies currently spend weeks and tens of thousands of dollars to create new plastic lenses every time a different streetlight beam is needed or when light pollution must be reduced. Our design is a simple film that sticks to the front of an LED and updates the light patterns quickly—no new lens […]

This project will advance the development of AR-CAD, an innovative augmented reality (AR) design tool that allows engineers to create and manipulate 3D models in real-world scale using a headset. Unlike traditional CAD tools that rely on 2D screens and complex interfaces, AR-CAD enables intuitive, hands-on design, helping users visualize and validate parts more quickly. […]

OmniPave is a research-based concept from the University of Alberta that tackles this by fusing satellite radar, AI-analyzed bus-camera footage, targeted drones, and citizen reports into a real-time map that spots micro-cracks within days, before they expand into potholes. This proactive approach can shift cities toward low-cost crack sealing instead of expensive patching. However, major […]

This project explores how sustainable concrete alternatives can be adapted for 3D printing in construction. Traditional cement-based concrete is a major source of global carbon emissions. Geopolymer concrete—made from industrial by-products like fly ash—offers a greener alternative, but challenges remain in making it printable at scale. This project will develop and validate a new testing […]

Over the four-month Lab2Market internship, discussions with plant operators, maintenance teams, and technology vendors will determine how the existing AI alarm-diagnosis system should be fine-tuned for real-world deployment. Targeted interviews, and rapid feedback loops will uncover the highest-value use cases, reveal functionality gaps, and establish clear upgrade priorities. These market-discovery insights will provide us with […]