Nowadays, leveraging advanced technologies like Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs) such as GPT, holds promise in revolutionizing safety measures and resource optimization. However, while these general-purpose LLMs excel in various tasks, they may lack context specificity. Domain-specific LLMs, such as those tailored for biomedicine and transportation, are emerging to address this […]

In an era where AI can write articles, create reports, and even craft stories, ensuring this content is accurate, free from errors, and trustworthy is crucial. Our project, “Building Trust in AI-Generated Content: Innovative Strategies for Quality and Integrity Verification,” aims to tackle this important challenge and to measure and increase the reliability and trustworthiness […]

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

The project between Plato Testing Inc. and NBCC has been built to support indigenous students of the software testing program to gain industry experience and utilize the skills they have developed in class. The software testing industry is ever growing, and requires talented students with an understanding of programming and software development to make software […]

The goal of this project is to incorporate AI to complement and upgrade existing functions in myTE. We plan to invest in 3 features: thematic analysis, data interaction and web analytics. In our current version, myTE compiles all comments in learners’ feedback and presents them in their original form to the users. Using AI, the […]

This project aims to enable controllable generation of expressive, speech-driven facial animation in video games and multimedia. Current methods use procedural tools to animate mouth movements given speech clips, but they lack realism. This research proposes to develop a new approach for controllable speech-driven facial animations, combining the realism of recent mesh deformation methods with […]

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]

In today’s global market for chicken, producers of broiler hatching eggs face challenges in managing production efficiently. Traditional methods struggle with complex record-keeping and a lack of real-time monitoring and prediction capabilities. To overcome these challenges, we propose a digital twin framework—a virtual copy of the chicken production system. This framework uses synthetic data generated […]