KUALA LUMPUR, Aug 18 – The Faculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia (UTM), organised a public lecture titled “Unlocking AI: From Individual Potential to Precision Innovation” on 18 August 2026 at Anjung Menara Razak, UTM Kuala Lumpur.

The lecture featured Prof. Dr. Jack Lau, Board Director of Qatar Science & Technology Park (QSTP), Adjunct Professor at the Hong Kong University of Science and Technology (HKUST) and Director of the AI Hub, College of Business, City University of Hong Kong (CityUHK).

The programme brought together UTM management, FAI faculty members, students and guests for a day of strategic engagement and knowledge sharing on the rapidly evolving artificial intelligence landscape. The programme began in the morning with a strategic engagement session between the invited speaker and members of the UTM Kuala Lumpur and FAI management teams. The discussion continued until noon and provided an opportunity to exchange perspectives on developments in artificial intelligence and explore potential areas for future academic and strategic collaboration.

Among the distinguished guests were Prof. Dr. Fauziah Sh. Ahmad, Head of UTM Kuala Lumpur Branch Campus, and Prof. Ts. Dr. Mohd Naz’ri Mahrin, Dean of the Faculty of Artificial Intelligence. The engagement reflected the importance of connecting international expertise with UTM’s academic and research ecosystem, particularly as artificial intelligence continues to influence education, research, entrepreneurship and technological innovation.

In the afternoon, faculty members, students, and guests gathered for the public lecture. The lecture explored the transformative potential of artificial intelligence and how the technology is progressing beyond conventional, one-shot interactions towards more advanced multi-agent AI systems. In such systems, multiple AI agents can work collaboratively, perform different roles, critique one another’s outputs and iteratively improve the quality of the resulting solutions.

Another major theme was the emergence of precision AI. Rather than relying exclusively on general-purpose, one-size-fits-all AI applications, the lecture highlighted the potential of highly specialised AI solutions designed for specific users, tasks and niche applications. Such an approach could enable organisations and entrepreneurs to develop more focused solutions that address particular needs efficiently.

The discussion also examined the implications of AI for entrepreneurship. With AI increasingly capable of supporting complex cognitive and operational tasks, smaller teams may be able to develop highly specialised products and services that previously required much larger organisations. The lecture highlighted opportunities for developing localised and privacy-conscious AI applications while also recognising practical challenges faced by technology entrepreneurs.

Beyond the opportunities created by AI, the lecture drew attention to one of its most significant long-term challenges: energy efficiency. Modern AI infrastructure and data centres require substantial electricity as well as cooling resources. As AI adoption continues to grow, improving the energy efficiency of AI computing systems will therefore become an increasingly important area of technological innovation.

The lecture emphasised that the next major opportunity in AI may not only lie in developing larger and more capable models, but also in finding fundamentally more efficient approaches to computation that reduce the energy required to operate future AI systems.

Following the lecture, an interactive question-and-answer session provided participants with the opportunity to engage directly with the invited speaker. Faculty members, students, and guests raised questions and exchanged perspectives on the topics presented during the lecture. The session encouraged further discussion on the opportunities, challenges and future direction of artificial intelligence, while enabling participants to relate the ideas presented to academic research, technological development and real-world applications.

The lively interaction reflected the strong interest among the audience in understanding how emerging AI technologies can be applied responsibly and effectively while addressing the technical, economic and sustainability challenges accompanying their rapid development. The programme concluded with the presentation of a token of appreciation to the invited speaker in recognition of his valuable knowledge sharing and engagement with the UTM community.

Through the programme, FAI provided a valuable platform for faculty members, students and university leaders to engage with international expertise and gain broader perspectives on the future of artificial intelligence. The combination of strategic engagement, knowledge sharing and interactive discussion highlighted the importance of collaboration in advancing AI innovation while ensuring that future developments remain relevant, efficient and sustainable.