Machine Learning-Driven Decision Support for Autonomous Services in Airport Operations

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 […]

Read More
Procedural Tree Modeling with Silhouette Constraints

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. […]

Read More
L2M – BoviSense AI: Intelligent Solutions for Sustainable Dairy Farming

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 […]

Read More
Detecting Intrusions Stemming from MSFT Co-Pilot in Windows 11

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 […]

Read More