On EDVentures Day 3, we held our Final Pitches and Awards. Great job everyone!
Please see Photos of Day 3 Final Pitch and Awards here
On EDVentures Day 2 on Wednesday, 27 May 2026, we visited Hong Kong's premierre incubation hubs for innovation and entrepreneurship: Hong Kong Science and Technology Parks (HKSTP) and Cyberport. Please click the link here to see the photos:
The EDVentures Day 1 event, featured the Innovation and Entrepreneurship Education Series. Please see pictures and descriptions below.
In addition, all Photos from Day 1 of EDVentures can be found and downloaded in this link, here below.
Hazel Shum introduced AWS's cloud services and Activate program, highlighting how startups can access AWS infrastructure and benefits. She also discussed the rise of agentic AI and how AWS provides a full stack of infrastructure for AI development.
Ryan Ng demonstrated ByteDance's Seedance 2.0 video generation model and discussed their approach to responsible AI development, including copyright protection features. He also introduced other AI models, such as Acro, a SaaS version of OpenAI's GPT, and SIP 3D 2.0, a 3D model generation model.
Henry Yang focused on Microsoft's GitHub Copilot and the concept of "frontier firms" - small companies leveraging AI agents to achieve unprecedented efficiency and scalability. He emphasized that coding is no longer a privilege only for developers, but for everyone, and encouraged the use of GitHub Copilot to structure thinking and generate code.
Dr. Carol Mak's presentation on a multi-agent learning system where LLMs generate their own lessons rather than having them predefined by humans, with an adjustment factor to help identify ineffective lessons over time. The system was demonstrated to be cost-effective compared to other multi-agent frameworks by reusing concise lessons instead of lengthy code snippets
An Apple Professional Learning Provider presented Apple's education strategy, focusing on four key pillars: taking focus in the classroom, student future readiness, sustainable development investment, and professional development for teachers. He detailed Apple's AI capabilities across their ecosystem, explaining how they balance local device processing with private cloud computing while maintaining strong privacy controls. When asked about career opportunities at Apple, Leslie advised that while education roles are available, students interested in working at Apple could start by developing expertise in Apple technology implementation in education and potentially be spotted for future roles.
Mr. Victor WONG, CEO of Bridge AI presented on their AI-powered system for supporting children with special needs, explaining how they train university students and tutors to use their technology for remote therapy support. The system uses various tools including smart glasses, AI cameras, and tablets to collect data on student progress, with recent developments incorporating emotion analysis through heart rate, movement, and skin temperature monitoring. When asked about privacy concerns, Victor explained they obtain proper consent from schools and parents, comply with local data privacy laws, and store data either on-site or in compliant cloud services depending on the organization's requirements.
Charlie Chan, founder and CEO of Robotic Artisan, presented on UBTech robotics education at an innovation and entrepreneurship series. He demonstrated UBTech's advanced industrial robots, including a car manufacturing robot costing around $160,000 USD, and explained how the company's educational division works with over 200 schools in Hong Kong. Charlie described their robotics competitions, including a complex two-vs-two AI competition involving 3D printed robots with various challenges, and outlined their seven-model robot lineup that can be assembled from a single box using plug-and-screw mechanisms.
Dr. Joseph Benjamin Ilagan from Ateneo de Manila University presented on building the intersection between startups and institutions, sharing his experience transitioning from industry to academia. He discussed the BS Information Technology Entrepreneurship program, which is the only four-year undergraduate degree of its kind in the Philippines, and introduced Ateneo Build (Business Insights Laboratory for Development), a center designed to enable faculty and students to earn market rates through industry engagement while bootstrapping ventures. Dr. Ilagan explained how the program addresses the challenges of traditional entrepreneurship education by focusing on startup methodology rather than small business management, and highlighted their use of AI to simulate mentors due to limited available human mentors. He presented on entrepreneurship education and shared insights from his experience at Ateneo de Manila University, including the development of student startups like Claro and the creation of synthetic personas for market research
The panel discussion on ""Unlocking Entrepreneurial Mindsets for SDG4 Innovation Across Asia" explored barriers to entrepreneurial mindsets across different countries, with participants identifying grade-focused cultures, fear of failure, and exam-oriented systems as significant challenges. Panelists shared various approaches to entrepreneurship education, including implementing dedicated courses, creating incubation centers, and tailoring programs to cultural contexts. Key challenges discussed included balancing global entrepreneurship discourse with local practices and addressing the need for critical thinking skills development. Panelists shared success stories including student-developed iOS apps for computer science education, sepsis prediction models, and automated course registration systems, highlighting the importance of practical implementation and cross-disciplinary collaboration in nurturing entrepreneurial thinking.
This panel discussion focused on harnessing AI innovation for quality education. In the discussion on AI in education, panelists explored how AI is transforming education across different regions, highlighting both opportunities and challenges. They identified promising AI applications including personalized learning, content creation, virtual laboratories, and administrative efficiency. The panelists emphasized the importance of addressing ethical concerns such as data privacy, cultural localization, and ensuring AI systems support rather than replace critical thinking skills.