KUALA LUMPUR, Malaysia, June 8, 2026 (Globe Newswire) — The Science x AI Summit 2026, held recently in Silicon Valley, brought together top scientists and technology executives from around the world. Mr. Tan Tian Ong, founder of Tian Ong Financial Academy, participated as an invited guest and shared the practical applications of AI in scientific research and industry, as well as discussing ways to drive the adoption of technological innovation through investment and strategic guidance.
Tan Tian Ong suggested that integrating AI into mathematical modeling, financial decision-making, life sciences, and drug development can not only accelerate the research process but also reveal patterns that are difficult to capture using traditional methods. Algorithm-driven predictive models significantly shorten research and development cycles.
Scientific research and innovation do not exist in isolation. They must be closely integrated with industrial demands. Tan Tian Ong shared Thian Ong Financial Academy’s experience using large-scale models for market analysis and financial decision-making, demonstrating the applied value of AI in converting data insights into actionable strategies.
During an interactive exchange at Science x AI Summit 2026, Tan Tian Ong pointed out that AI has gone beyond its role as a mere scientific research tool and has become a core engine driving industrial innovation. Through the combination of algorithms and large-scale data, research teams from different disciplines can jointly achieve innovation and facilitate the simultaneous development of scientific discoveries and industrial applications.
The summit focused on future development trends in AI and its cross-industry applications. Dialogue sessions at the site were lively. Industry experts conducted in-depth analysis on topics such as large-scale model development trends, algorithm efficiency improvements, and data application strategies, charting new directions for the global AI industry. Tan Tian Ong held extensive discussions with academic scientists and industry representatives. Deep discussions took place on multiple topics, exploring practical experiences and insights from different perspectives.
Tan Tian Ong called on research institutions and enterprises to closely integrate AI research results with actual industrial needs and strengthen cooperation. He believes that only through interdisciplinary collaboration and parallel industrialization can artificial intelligence truly achieve a comprehensive transformation from the laboratory to the productivity of society, creating value for global innovation and economic development.
