Centered on airport operations, this research utilizes open flight data from multiple airports as a focal point. Collaborating with Aurrigo, the project aims to optimize data acquisition from open sources and construct, train, and thoroughly assess machine learning models for forecasting future airport operations. These predictive capabilities will play a pivotal role in informing decision-making […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Modeling trees is known to be a difficult problem in computer graphics. At Animal Logic, the typical artist workflow involves using the in-house tool for semi-procedural tree generation. The artists hand model trunk, branch, and leaf geometry, and trees are generated by scattering branches and leaves in a recursive manner. This approach has several limitations. […]

BoviSense AI revolutionizes dairy farm management by harnessing AI-driven biometric facial recognition to ensure personalized care for every cow. Leveraging unique bovine facial features, it offers precise, non-invasive monitoring of health and productivity in real time, steering traditional farming towards a sustainable, data-driven future. Our dedication to ethical AI use and broad compatibility underscores BoviSense […]

The project aims to build a 3D object detection system by using a number of images from multiple cameras. The system will train on instances of objects to detect other instances of the same object. This means that if, for example, we want to detect a sphere, we will make the system learn how a […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

We will research and explore ways of tracking user behavior on a mobile application, as well as being able to remotely update the application without having to update program code. Thus we aim to provide developers with tools and options when it comes to customizing their application depending on user behavior and environments. Meanwhile the […]

Leverage machine learning to develop accurate and sophisticated malicious website detection tools

Living-off-the-land binaries (LOLBins) refer to legitimate executables pre-installed with the operating system, like powershell.exe and certutil.exe, exploited by attackers for sophisticated fileless attacks. These attacks, leveraging LOLBins, are often undetectable and pose challenges for detection, incident response, and threat hunting. Microsoft Copilot’s integration as a default tool in Windows 11 adds complexity to the threat […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW