DP Computer Science Learning Journey

DP Computer Science Learning Journey at Rice Robotics on 11 December 2024

Our IBDP Computer Science students embarked on a learning journey organised by the ICT Department aimed at helping them to gather in-depth field knowledge of chatbots applications and architecture, Natural Language Understanding (NLU), and the ethical implications surrounding the development and use of such technologies. This exploration is particularly relevant as it aligns with the IB Paper 3 case study titled “The Perfect Chatbots”. The learning journey was held at Rice Robotics in Tsuen Wan.

The visit commenced with a comprehensive presentation introducing the students to various types of robots manufactured at Rice Robotics and their diverse applications across different sectors. Insights into the manufacturing processes, advanced neural networks, including Large Language Models (LLMs) and Transformer Neural Networks (TNNs), were provided to the students. The importance of LLMs in Natural Language Processing (NLP) tasks, such as text completion and translation was emphasised. Students had the unique opportunity to interact with machine learning algorithms firsthand, and were invited to edit them to observe immediate outcomes.

Following the presentation, students explored the hardware components of the robots, gaining a deeper understanding of circuit boards and their functions. They were also introduced to LiDAR sensors utilised by Rice Robotics, which are crucial for mapping a robot’s surroundings and enabling autonomous movement. Additionally, an overview of the upcoming pre-launch of their next-generation RICE Robot was provided, highlighting new advancements and features.

Throughout the visit, students engaged in thoughtful discussions, posing insightful questions regarding chatbot NLP architecture, neural networks, and training models. They learned about various sensor technologies and how LiDAR contributes to environmental awareness for robotic navigation. Unfortunately, direct interaction with the Rice chatbot was not possible during this visit, as many robots were deployed for operational duties.

The experience left our students motivated with a renewed enthusiasm for innovation and critical insights into robotics architecture. They reflected on ethical considerations in AI development and recognised the transformative potential of robotics in addressing real-world challenges. This learning journey has enriched their understanding of both theoretical concepts and practical applications in computer science.