"Innovation Unleashed: The Rise of Deep Tech Start-ups from Academic Roots"

Mr. Wenlei ZHUANG (HKUST)

Abstract

In this speech, we will analyze disruptive innovation fundamentals, the environment and process for their emergence, and how Hong Kong and HKUST bridge academia-industry gaps to enhance real-world value from academic innovations. We'll explore individual Deep Tech start-up cases to illustrate system workings and impact.

"Embracing Opportunities: Fuelling the Microelectronics Ecosystem in Hong Kong"

Dr. Carmen FUNG (HKSTP)

Abstract

TBA

"Era of Great Transformation - The New Opportunities of Innovation and Entrepreneurship"

Mr. Peter WU (Sinovation Ventures)

Abstract

In the era of Great Transformation, innovation and entrepreneurship are presented with new opportunities, especially in the fields of artificial intelligence, robotics, life sciences and new energy. The future technologies in these four domains are converging, with the advancement of large-scale language models driving the rapid development of AI; robotics technology is entering the era of embodied intelligence; the healthcare sector is gradually being disrupted by artificial intelligence technologies; the new energy sector is experiencing rapid growth due to technological iterations, with the development of next-generation photovoltaic technologies and new energy vehicles.

The rapid progress of artificial intelligence is poised to bring forth extensive applications, catalyzing explosive growth in various emerging markets and attracting substantial investments. As these applications become more sophisticated, edge AI is set to play a pivotal role. Striving to strike a balance between computing power and energy consumption, the 'cloud-plus-edge' model is anticipated to dominate, propelling the rapid development of blue ocean markets, such as specific edge AI chips and models.

"Meeting the Implementation Needs of AI in the Smart Manufacturing Sector"

Mr. Yi PAN (Value Capital/Inovance Technology)

Abstract

In today's rapidly evolving industrial landscape, the integration of artificial intelligence (AI) holds immense promise for revIn today's rapidlyIn today's rapidly evolving industrial landscape, the integration of artificial intelligence (AI) holds immense promise for rIn today's rapidly evolving industrial landscape, the integration of artificial intelligence (AI) holds immense promise for revolutionizing smart manufacturing. However, the successful deployment of AI technologies necessitates addressing several critical implementation requirements. Firstly, there's a pressing need for enhanced data infrastructure and connectivity to facilitate seamless data exchange and analysis across manufacturing processes. Secondly, tailored AI algorithms and models must be developed to address specific manufacturing challenges, optimizing efficiency and quality while minimizing costs. Moreover, workforce upskilling and training programs are essential to empower employees with the necessary skills to effectively collaborate with AI systems and leverage their capabilities. Furthermore, ensuring robust cybersecurity measures is imperative to safeguard sensitive manufacturing data from potential threats and breaches. Lastly, fostering collaboration and partnerships between industry stakeholders, research institutions, and AI developers is crucial to foster innovation and drive continuous improvement in smart manufacturing practices. By addressing these implementation needs, we can unlock the full potential of AI in revolutionizing the smart manufacturing landscape, driving greater efficiency, agility, and competitiveness.