Personal Background

Tang Enya Kong, with a decade of experience as a lecturer at USM and MMU, has spent 18 years shaping minds in academia. With a profound 30-year background in R&D, specializing in Natural Language Processing (NLP) and AI, Tang is currently focused on developing an automatic live interpretation system utilizing large language model (LLM) APIs.

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Initiative and Involvement

Tang's journey in AI began with a passion for reducing language barriers. Now, Tang's primary project involves creating applications for automatic translation and interpretation, aiming to break down communication obstacles and foster global understanding.

 

Skills and Talents

With expertise in AI and Python programming, Tang has been instrumental in advancing NLP applications. Invited as a visiting researcher at numerous universities, Tang collaborates with peers from diverse backgrounds, sharing R&D knowledge and applications.

 

Memorable Experiences

Tang recounts numerous rewarding experiences, particularly those involving collaboration with researchers and users from various countries. These interactions not only enhance Tang’s own understanding but also contribute to the global body of knowledge in AI and NLP.

 

Community and Connection

What Tang enjoys most about the work is the ability to connect with researchers and users worldwide. By sharing R&D knowledge and applications, Tang helps foster a collaborative environment where ideas and innovations can flourish.

 

Lifelong Learning and Active Aging

Tang stays active and engaged by regularly updating knowledge through reading and writing programs in areas of interest. Balancing AI programming with practices like Taichi, Yoga, and meditation, Tang maintains both mental and physical health.

 

Future Aspirations

Tang hopes to continue contributing to the field after retirement by leveraging accumulated knowledge. The goal is to promote the use of developed systems among potential users, ensuring that advancements in AI can benefit as many people as possible.

 

Support from SITI Network

To further this mission, Tang would appreciate the SITI Network's support in promoting the developed AI systems to a broader audience, helping to reduce language barriers and enhance global communication.