This research project focuses on developing an automated system to search and analyze time-series tabular features in the financial institution’s machine learning pipeline. The goal is to identify relevant features and improve efficiency in the decision-making process. The project will begin by prototyping a system to support automated feature search patterns and researching feature search […]

Domain Name System (DNS) tunneling is a malicious technique that enables attackers to bypass network security measures and steal sensitive information. Traditional detection methods that rely on signature-based approaches are often ineffective against advanced attacks. In light of this, recent years have seen a growing interest in the use of deep learning techniques for network […]

Domain Name System (DNS) tunnels as a covert communication channel between a controlled host and a master server can be utilized by malicious attackers disguising the master server as an authoritative domain name server. DNS tunneling can cause significant harm due to its ability to easily evade network security mechanisms by using DNS traffic, so […]

Satellites have become a crucial part of everyday life. We use satellites for watching television, navigation, weather predication, national defense, and everything in between. Therefore, the safety and security of our satellites is very important. However, there are two problems that put satellites at risk of cyberattack: 1. As computers become more advanced, old cryptographic […]

Foqus has built a software solution that can speed up MRI scans and is applying for regulatory clearance to commercialize the software. This project focuses on the sales process of the product and facilitates taking the software to the market.

Improving road safety has a direct impact on the lives of drivers as well as the costs incurred by companies operating commercial vehicles. One important aspect of road safety is timely and effective vehicle maintenance. By forecasting vehicle maintenance needs and predicting breakdowns before they occur, valuable insights can be provided to drivers and fleet […]

Many real life decision consider a multitude of criteria, one such example is in healthcare where the patient’s condition, available resources, chance of recovery, cost etc all need to be consider when administrating care. An analytic hierarchy process makes the multi-criteria decisions by first converting the problem into a set of mathematical constraints by pair-wise […]

Machine Learning (ML) approaches generally consist of training an algorithm on a given dataset containing data which has to be analyzed or otherwise understood. For an ML application to be successful, careful thought must be given to ensuring that the architecture of the algorithm chosen is fit for the task at hand: some architectures are […]

Japan is a leading example of a nation with a rapidly ageing society and currently consists of the highest proportion of elderly adults worldwide. Among others, this has led to a series of downstream concerns, including labour shortage issues and reduced ability of working individuals to finance those who are retired. As one of the […]

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. In an effort to reduce accidents, we need to understand both the driving behavioural patterns that are […]

This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with […]