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National Dong Hwa University and Taiwan AI Labs Launch NDHU-GPT: Transforming Campus Life with AI

[January 23, 2025] National Dong Hwa University (NDHU) and Taiwan AI Labs announced the successful development of the AI campus assistant “NDHU-GPT” at a joint press conference held on January 23, 2025. This cutting-edge AI solution has significantly enhanced administrative efficiency by saving nearly 1,000 hours of repetitive Q&A tasks for faculty and staff. Moreover, it acts as a comprehensive and intelligent assistant, providing students with precise and unbiased answers to a wide range of campus-related inquiries.

Ethan Tu, Founder of Taiwan AI Labs, highlighted that this collaboration harnesses the locally developed FedGPT platform, a state-of-the-art large language model tailored to meet the needs of over 10,000 NDHU faculty and students. During its training process, FedGPT integrated knowledge from more than 5,000 documents, encompassing critical information such as admissions policies, course registration procedures, and health insurance applications for international students. Additionally, it covers everyday details like dining options on campus or the availability of dormitory supplies. By consolidating essential information from various departments and incorporating internal institutional knowledge, NDHU-GPT delivers an unparalleled level of accuracy and efficiency in campus support services.

Photo Caption: Ethan Tu , Founder of Taiwan AI Labs (left), and Hui-Mi Hsu , President of National Dong Hwa University (right), pose for a photo.

Revolutionizing Campus Operations with AI

Since its initial deployment in 2024, NDHU-GPT has demonstrated tangible benefits, including:

  • Saving 1,000 Administrative Hours: The assistant’s knowledge base spans over 10 million words sourced from 5,000 documents, including admissions guidelines, course registration policies, and campus regulations. By automating responses to common queries, NDHU-GPT eliminates the need for time-intensive staff training, saving nearly four months of manual work.
  • 24/7 Real-Time Support: Operating around the clock, NDHU-GPT delivers instant answers to students and staff. During the freshmen enrollment period, the AI assistant handled over 1,000 inquiries, reducing wait times and resolving issues more efficiently.
  • Enhanced Support for International Students: With support for both Traditional Chinese and English, NDHU-GPT bridges language barriers, helping international students navigate complex procedures such as health insurance applications and scholarship inquiries. This feature alone has saved approximately 125 working days per semester for administrative staff.

A Secure and Reliable AI Assistant

Unlike open-source models, NDHU-GPT is built on the FedGPT platform, which prioritizes security and accuracy. It operates independently of public clouds, ensuring data privacy and preventing the integration of irrelevant or unverified information.

“NDHU-GPT functions as a well-trained, reliable employee—one that never sleeps and always provides consistent, accurate answers,” said Ethan Tu.

The model’s tailored design ensures it delivers context-specific responses. For instance, when asked about campus shuttle schedules, NDHU-GPT provides precise routes and timings rather than vague links to external websites. The assistant also handles sensitive or personal queries, such as where to go on a date or how to cope with exam stress, offering thoughtful, supportive answers drawn from official and culturally appropriate sources.

To ensure ethical AI deployment, NDHU-GPT is equipped with safeguards to prevent biased or inappropriate content, reinforcing NDHU’s commitment to responsible AI use.

At the event, a live demonstration showcased NDHU-GPT responding to common questions from students, including:

“What’s the best place to visit in Hualien during the weekend?”

“I’m feeling homesick—what should I do?”

“How can I improve my grades without feeling overwhelmed?”

The AI assistant provided helpful and empathetic guidance, reflecting its role as a supportive, trusted companion for students navigating campus life.

Photo Caption: The AI campus assistant NDHU-GPT operates 24/7, answering student queries about campus life challenges.

NDHU’s Commitment to Innovation and AI Literacy

President Hsu highlighted NDHU’s recent achievements, including its ranking as 86th globally in the 2024 World University Rankings for Innovation and 11th in “Generative AI Applications.” Hsu emphasized that NDHU-GPT represents the university’s vision of integrating cutting-edge technology into education while preparing students for an AI-driven future.

“Through this partnership with Taiwan AI Labs, we are not only improving operational efficiency but also fostering a new generation of AI-literate talent. Our students will graduate with the skills and confidence to collaborate with AI responsibly,” said Hsu.

Looking ahead, NDHU plans to expand its AI initiatives by introducing AI-based courses, developing virtual teaching assistants, and collaborating with industry partners to further advance the smart campus vision.

About FedGPT

FedGPT (https://yating.tw/zh-hant/fedgpt-landing) is an advanced large-language model developed by Taiwan AI Labs. Built using over 100 billion Traditional Chinese tokens, it emphasizes trustworthy AI principles, leveraging internal knowledge bases and federated learning for validated and reliable outputs.

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw) pioneers trustworthy AI solutions, integrating generative AI across healthcare, federated learning, virtual avatars, and other applications. The lab’s research spans AI music, speech recognition, and media analysis, earning recognition in leading international journals. By uniting talent, resources, and industries, Taiwan AI Labs drives AI innovation from Taiwan to the world.

Media Contact

Ellie Chen

PR, Taiwan AI Labs

Email: wanhsin.chen@ailabs.tw

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2025 Taiwan AI Industry Annual Conference: Ethan Tu Outlines Taiwan’s Path to Global Leadership

[January 22, 2024] 

The generative AI wave is driving innovation and business transformation worldwide, establishing itself as a core trend in 2025. Today, Taiwan AI Labs hosted the 2025 Taiwan AI Industry Annual Conference, featuring key industry leaders such as Ethan Tu, Founder of Taiwan AI Labs; Liang-Gee Chen, former Minister of the Ministry of Science and Technology and Honorary Professor at National Taiwan University; Ray-Jade Chen, Chairman of Taipei Medical University; and Bo-Yen Shen, Chairman of the Chinese Software Industry Association. Discussions covered topics ranging from the progression of generative AI to Artificial General Intelligence and the emerging concept of Regenerative AI. The conference aimed to equip Taiwanese enterprises with strategic insights to excel in the global AI landscape.

Photo Caption： The “Master Dialogue” panel at the 2025 Taiwan AI Industry Annual Conference featured moderator Chao-Hwei Hwang, Chief Content Officer of Taiwan AI Labs, along with panelists Liang-Gee Chen, former Minister of the Ministry of Science and Technology and Honorary Professor at National Taiwan University; Ray-Jade Chen, Chairman of Taipei Medical University; Bo-Yen Shen, Chairman of the Chinese Software Industry Association; and Ethan Tu, Founder of Taiwan AI Labs.

2025: The Era of Global AGI Competition – Opportunities and Challenges for Taiwan

The global AI market is forecasted to reach $243.7 billion by 2025, according to Statista. At the conference, experts outlined the evolution of AI development from GenAI to AGI, emphasizing three key trends: domain expertise, issue-awareness, and self-improvement.

Future AI models are expected to move away from being generalized tools, shifting toward specialized GPTs tailored for specific industries. These advanced GPTs will be designed to solve precise problems, adapt to dynamic environments, and continuously optimize performance.

Despite its potential, generative AI faces significant challenges, particularly its high development costs. For instance, Microsoft’s OpenAI reportedly spent $41 million to $78 million on developing ChatGPT-4, while Meta employed over 16,000 H100 GPUs for its latest model training. Such investments highlight the steep financial and technical barriers for AI adoption. Additionally, the EU’s Artificial Intelligence Act, which came into effect in August 2024, introduces stricter compliance and transparency requirements, including content labeling obligations. Non-compliance risks severe penalties, such as fines reaching 7% of global revenue.

In this competitive global environment, Taiwan’s challenge—and opportunity—lies in developing sustainable, trustworthy, and responsible AI solutions that align with these international regulatory trends, paving the way for Taiwan to strengthen its global presence.

Photo Caption：Ethan Tu highlighted that providing sustainable AI solutions is Taiwan’s opportunity to leverage its soft power and make a mark on the global stage.

Strategies for Success:  Vision for AI Development in Taiwan

Ethan Tu identified three critical strategies for positioning Taiwan as a global leader in AI innovation:

  1. Building Affordable and Energy-Sustainable GPTs The increasing adoption of AI has significantly raised energy consumption, with data centers accounting for up to 12% of national electricity use in the U.S., according to Deloitte. Taiwan’s geopolitical advantages and robust network infrastructure make it an ideal host for AI data centers, but its limited energy resources necessitate careful management.
    To address this, AI models are evolving into task-specific, energy-efficient tools tailored to business needs. Taiwan AI Labs’ FedGPT, for example, is a financial AI assistant designed to serve banks by offering precise, domain-specific expertise. Its professional version, FedGPT Pro, has demonstrated superior performance in financial knowledge tests while maintaining a smaller model size, reducing energy requirements.
    FedGPT employs federated data governance, allowing businesses to train custom AI models internally without the extensive use of external cloud resources. This approach minimizes data migration and energy consumption, offering a sustainable solution for enterprises.
  2. Proactively Adapting to Advanced Regulations As AI governance and data privacy regulations tighten globally, compliance with standards such as the EU’s GDPR and AI Act is increasingly crucial. Tu emphasized the importance of adopting “trustworthy technology” and addressing biases and explainability in AI systems.
    Early compliance with these regulations not only mitigates risks but also accelerates access to international markets. Taiwan AI Labs’ federated learning approach allows organizations to develop models in a secure, privacy-preserving manner, ensuring alignment with evolving global standards.
  3. Leading with a National-Level Federated GPT Platform Taiwan’s expertise in high-speed computing positions it as a key player in training advanced AI models. Taiwan AI Labs has pioneered a national-level federated data governance platform, launching FedGPT services to enable organizations to optimize AI models while safeguarding data privacy.
    This federated learning approach strengthens data security and enhances model accuracy, particularly for sectors handling sensitive information. By championing this innovative framework, Taiwan can contribute to shaping a more responsible and sustainable AI future.

Taiwan AI Labs 2025 Vision: Advancing FedGPT Capabilities Across Industries

In 2024, Taiwan AI Labs collaborated with key industries to deploy FedGPT across healthcare, finance, education, and multimedia entertainment sectors. By addressing core industry needs, FedGPT has accelerated digital transformation and fostered innovation.

Looking ahead to 2025, FedGPT will evolve into a versatile AI Agent, incorporating advanced capabilities such as vision-language models (VLM) for image, video, and audio analysis, and automatic speech recognition. With features like facial recognition and object detection, FedGPT will further expand its applications to meet diverse enterprise requirements, reinforcing Taiwan’s role as a leader in the global AI landscape.

Photo Caption：Taiwan AI Labs partners with multiple industry collaborators to introduce FedGPT into various sectors, including healthcare, finance, education, and multimedia entertainment.

Key Features of FedGPT

  1. AutoKB: Quickly transforms an organization’s internal knowledge into a GPT-powered knowledge base, enabling precise and professional responses.
  2. AutoML: Builds task-specific models on top of the foundational model to address unique business requirements.
  3. Infodemic: Launching in 2025, this feature analyzes and summarizes real-time global issues, distinguishing between genuine public opinion and online misinformation. Industries such as finance can leverage this capability to produce accurate KYB (Know Your Business) reports, enhancing decision-making and market insights.
  4. AutoCopilot: Simulates business scenarios and integrates with internal APIs and knowledge bases to automate complex internal processes. Fully deployed, it accelerates new employee development by learning from internal experts, driving organizational efficiency and performance.

Excellence Center Program: Empowering Sustainable AI Talent in Taiwan

At the 2025 Taiwan AI Industry Annual Conference, Taiwan AI Labs unveiled the “Excellence Center Program,” designed to advance AI applications and talent development in Taiwan’s universities through cutting-edge technology and resource integration.

The program’s inaugural phase brings together six esteemed scholars, including:

  • Professor Hung-Yi Lee, Department of Electrical Engineering, National Taiwan University
  • Professor Yun-Nung Chen, Department of Computer Science, National Taiwan University
  • Professor Chia-Yu Hsu, Department of Industrial Management, National Taiwan University of Science and Technology
  • Associate Professor Min-Fan Lee, Institute of Automation and Control
  • Professor Rua-Huan Tsaih, Department of Information Management, National Chengchi University
  • Professor Chao-Tung Yang, Department of Computer Science, Tunghai University

Program Highlights

  1. Driving Academic Applications and Enhancing Research Competitiveness
    By leveraging Taiwan’s proprietary large language model, FedGPT, the program equips universities with cutting-edge tools to improve research efficiency in areas such as literature summarization, data analysis, and data cleaning. This initiative aims to elevate Taiwan’s academic presence and global competitiveness in AI research.
  2. Developing AI Research Ethics Guidelines
    In collaboration with academic institutions, the program will establish AI research ethics guidelines to uphold principles of trustworthiness and responsibility. These guidelines will safeguard data privacy and intellectual property, ensuring that AI applications remain ethical and secure.
  3. Cultivating World-Class AI Talent
    The program offers secure platforms and technical support to enhance AI skills for students and faculty. Additionally, it aims to attract international talent to Taiwan while encouraging top local talent to return, strengthening Taiwan’s AI ecosystem and boosting its global competitiveness.

About FedGPT

FedGPT (https://yating.tw/zh-hant/fedgpt-landing) is an advanced large-language model developed by Taiwan AI Labs. Built using over 100 billion Traditional Chinese tokens, it emphasizes trustworthy AI principles, leveraging internal knowledge bases and federated learning for validated and reliable outputs.

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw) pioneers trustworthy AI solutions, integrating generative AI across healthcare, federated learning, virtual avatars, and other applications. The lab’s research spans AI music, speech recognition, and media analysis, earning recognition in leading international journals. By uniting talent, resources, and industries, Taiwan AI Labs drives AI innovation from Taiwan to the world.

Media Contact

Ellie Chen

PR, Taiwan AI Labs

Email: wanhsin.chen@ailabs.tw

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AI “Mentor” Helps Nurses Clock Out on Time, Garnering a 90% Satisfaction Rate: Taiwan AI Labs and Hualien Tzu Chi Hospital Showcase Breakthroughs at 2024 Healthcare+ Expo

December 6, 2024 — The 2024 Healthcare+ Expo, Asia Pacific’s premier AI healthcare event, highlights the collaboration between Hualien Tzu Chi Hospital and Taiwan AI Labs, unveiling three cutting-edge innovations: the FedGPT-powered system for nursing shift handovers and care summaries, AI-generated admission and discharge records, and a virtual health educator fluent in Taroko language. These innovations drew significant attention at the expo.

President of Hualien Tzu Chi Hospital Lin Hsin-Jung noted, “Even our international colleagues in Tzu Chi are amazed by Taiwan’s advanced progress.” As the only medical center in eastern Taiwan, the hospital handles over 800,000 patient visits annually, supported by a team of more than 1,000 nurses. Since integrating AI-powered solutions from Taiwan AI Labs, FedGPT has demonstrated an accuracy rate of over 80% in creating care records and shift handovers, significantly reducing the workload on nursing staff and earning a satisfaction score of 4.7 out of 5.

Photo Caption: Hualien Tzu Chi Hospital President Lin Hsin-Jung (left), Taiwan AI Labs Founder Ethan Tu (center), and Hualien Tzu Chi Hospital Vice President Wu Pin-An (right) pose for a group photo.

FedGPT Streamlines Nursing Tasks: AI “Mentor” Supports New Nurses in Timely Shift Handovers

Hualien Tzu Chi Hospital’s Director of Nursing, Chung Hui-Chun, emphasized the challenges that new nurses face, particularly during shift handovers, where detailed documentation of patient conditions, vital signs, and care priorities for the next eight hours is essential. Traditionally, this process relied on senior nurses dictating key points while junior nurses manually recorded the information—a labor-intensive process prone to errors and omissions, extending working hours and impacting care quality.

Photo Caption: Taiwan AI Labs Founder Ethan Tu (left) and Hualien Tzu Chi Hospital Director of Nursing and Virtual Health Educator Prototype Lead, Chung Hui-Chun (right), pose for a photo.

With FedGPT, nurses can now record conversations and generate comprehensive shift handover notes at the press of a button. These notes include actionable reminders, such as medication schedules or upcoming check-ups, presented in a structured format. Acting as a “virtual mentor,” FedGPT not only compiles reports but also ensures essential tasks are not overlooked.

Photo Caption:With a single press of the recording button, FedGPT can analyze doctor-patient conversations to summarize medical conditions and generate shift handover records.

Chung observed that many junior nurses, who completed their internships online during the COVID-19 pandemic, required three to four months of hands-on guidance to become proficient. Some took nearly a year. With FedGPT’s support, nurses adapt more quickly, enabling experienced staff to focus on critical tasks and improving overall team efficiency. This advancement aligns with the hospital’s vision of a “new normal” for nursing: seamless handovers and on-time clock-outs.

FedGPT: Pioneering Medical GPT Technology with Precision and Security

Developed by Taiwan AI Labs, FedGPT is a globally unique generative AI model integrating automatic speech recognition (ASR), text-to-speech (TTS), virtual avatars, and a federated learning platform. Tailored for healthcare, the model was trained on over 15 billion biomedical tokens, ensuring domain-specific expertise.

As AI adoption grows in healthcare, safeguarding sensitive medical data and mitigating algorithmic bias are critical challenges. Ethan Tu, founder of Taiwan AI Labs, highlighted the organization’s commitment to privacy protection through federated learning—a model-sharing approach that avoids data sharing. This ensures hospitals can train robust medical models without compromising patient confidentiality.

Despite using fewer computational resources, FedGPT achieves exceptional performance. In benchmarking tests using the Open Medical-LLM dataset, FedGPT Pro demonstrated superior medical knowledge comprehension among 14-billion parameter models, rivaling larger-scale models like GPT-4. Its efficient design also supports ESG goals by minimizing energy consumption.

Since deploying AI-assisted nursing solutions six months ago, Hualien Tzu Chi Hospital has continuously refined its systems based on frontline feedback. Notable achievements include the virtual health educator’s ability to provide guidance in 18 languages, including Taroko—a global first. Patients’ suggestions, such as incorporating friendlier avatar expressions, have also led to thoughtful enhancements, demonstrating the hospital’s dedication to integrating warmth into healthcare technology.

Director Chung Hui-Chun expressed optimism about AI’s transformative potential: “By alleviating repetitive tasks, empowering patients, and equipping nurses with advanced tools, AI can redefine healthcare delivery. Supporting our nurses today ensures a healthier future for all.”

About FedGPT

FedGPT (https://yating.tw/zh-hant/fedgpt-landing) is an advanced large-language model developed by Taiwan AI Labs. Built using over 100 billion Traditional Chinese tokens, it emphasizes trustworthy AI principles, leveraging internal knowledge bases and federated learning for validated and reliable outputs.

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw) pioneers trustworthy AI solutions, integrating generative AI across healthcare, federated learning, virtual avatars, and other applications. The lab’s research spans AI music, speech recognition, and media analysis, earning recognition in leading international journals. By uniting talent, resources, and industries, Taiwan AI Labs drives AI innovation from Taiwan to the world.

Media Contact

Ellie Chen

PR, Taiwan AI Labs

Email: wanhsin.chen@ailabs.tw

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Taiwan AI Labs Releases One Year Cross-Platform Analysis on Foreign Interference in U.S. Elections

[December 4, 2024] — Taiwan AI Labs has released a year-long observational report today, shedding light on extensive foreign influence operations targeting the U.S. presidential election. The report presents substantial evidence indicating interference by foreign actors, including Russia and China, aiming to propagate the narrative that the United States will fall under authoritarian control regardless of the election outcome. These tactics exacerbate polarization within the U.S. political landscape, intensifying societal division and posing a threat to democratic integrity.

Utilizing Taiwan AI Labs’ cognitive security tool, Infodemic, the report analyzed data from October 2023 to November 2024 across major social platforms such as Facebook, YouTube, X, Weibo, and TikTok. It examined 383 key narrative battlegrounds and scrutinized 330 reports from state-affiliated media outlets in Russia and China.

Key Narratives Exploited: Anti-Semitism, Foreign Election Interference, Immigration, Judicial Cases, and Gun Violence Fuel U.S. Decline Narratives

The report identifies major themes exploited by coordinated troll groups, including anti-Semitic conspiracies, immigration issues, judicial controversies, and narrative of American decline. Specific focus areas included:

From October 2023 to June 2024, Five major troll groups’ early operations focused on Trump’s immunity issues and Biden’s health concerns. After July’s “Trump Assassination Attempt,” narrative marked a significant shift, where trolls expanded from Supreme Court criticism to questioning government legitimacy and gun rights issues.

The Trump-Harris campaign launch in late July triggered another surge in coordinated activities. Operations expanded to include conspiracy theories about Jewish control of American politics through the “Tim Walz VP Candidate” narrative, while using Musk as a focal point during the “Trump-Elon Live Interview” to suggest threats to social stability.

Foreign interference intensified in September through two main strategies: Troll groups on YouTube, Facebook, and TikTok portraying both candidates as “colluding with Russia,” while troll groups on X focused on dismissing Russian interference concerns while highlighting the “Hunter Biden laptop” controversy. Troll groups on Weibo uniquely employed both strategies through sarcastic amplification of Putin’s alleged support for both candidates.

October operations shifted toward domestic issues – candidates’ health, immigration, disaster response, and wealth inequality. Following reports of Chinese state-backed hacking targeting campaign communications, post-election activities on Weibo intensified significantly. These operations promoted narratives about inevitable U.S. social division and decline, while questioning the integrity of leadership transition through narratives about Biden’s sudden “mental recovery” and Harris’s electoral defeat.

Troll Groups Amplify State Media Narratives to Undermine Trust in Democratic Alliances

The report highlights three main strategies used by troll groups to align with state-affiliated media narratives:

1.The narratives and strategies of troll groups frequently echoed Russian or Chinese state media.  

2.One of the main strategies was to shape candidates as colluding with Russia, spread the impression that the U.S. would be controlled by authoritarian regimes regardless of the election outcome and polarize American politics, further dividing society. They accused both Trump and Harris of colluding with Russia, criticized U.S. economic and foreign policies, and exploited topics like border and immigration issues to erode trust in both parties.

3.Besides U.S. domestic issues, troll groups also targeted foreign topics especially on NATO, EU tariffs, and U.S.-China relations. The narratives undermine the relationship of Western alliances, attack the policies against China, and describe China as a victim of U.S. aggression.

Taiwan AI Labs emphasizes the importance of addressing complex, cross-platform information warfare in the digital age. The findings highlight the urgent need for robust cognitive security solutions to safeguard democratic processes globally.

Full Report Link:One Year Cross-Platform Analysis of Troll Activities and Foreign Influence in 2024 U.S. Presidential Election

For further information or media inquiries, please contact:

Ellie Chen

Public Relations, Taiwan AI Labs

Email: wanhsin.chen@ailabs.tw

About Infodemic

Infodemic is a cognitive security tool developed by Taiwan AI Labs that monitors information in real time across social platforms. Utilizing AI technology, it aims to uncover information manipulation and coordinated actions, prevent the spread of malicious content, and identify the strategies employed by coordinated account groups.

The Infodemic platform leverages FedGPT to expose information manipulation, reveal coordinated behaviors, trace the spread of harmful content, and recognize the narrative tactics used by coordinated groups. Through its cognitive security scanning system, organizations can verify any type of content—whether URLs, images, videos, or even sentences. By simply inputting data and initiating a scan, the system determines if the content is organic or the product of malicious actors exploiting platform algorithms to manipulate public perception.

Upon detecting coordinated activity, the platform provides detailed insights into malicious networks, hidden agendas, and bot activities operating across the internet and social media. With comprehensive infographics, organizations can easily navigate the complex landscape of information warfare and assess its impact. Additionally, the system explores potential connections between these actors and foreign entities.

About Taiwan AI Labs

Taiwan AI Labs is dedicated to developing internationally trusted AI solutions through open algorithms, open-source code, and federated learning. Leveraging Taiwan’s talent, semiconductor industry strengths, and extensive healthcare data, the organization drives advancements in smart healthcare, human-machine interfaces, and generative AI.

Under the principles of trustworthy AI, Taiwan AI Labs effectively integrates generative AI into solutions such as smart healthcare, federated learning, AI virtual anchors, future scenario-generating studios, and news analysis platforms. In the human-machine interface field, the lab develops AI music generation, speech recognition, and semantic understanding technologies. These innovations address globally critical issues like disinformation and fake news, mapping the patterns of information manipulation. Our research has sparked international interest, receiving recognition and publication in leading scientific journals.

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Trusted AI Solutions for Secure Data: Taiwan AI Labs’ Offerings Join Government Inter-Entity Supply Contract E-Procurement System

[December 2, 2024] In alignment with President Lai Ching-te’s vision of transforming Taiwan into an AI-driven nation, government agencies are progressively integrating AI services. The Ministry of Digital Affairs has also launched a five-year national AI development strategy to automate administrative services. However, ensuring the security of sensitive national data while optimizing workflows with AI has become a crucial challenge for public institutions.

Taiwan AI Labs, a long-time advocate of trusted and responsible AI, has developed Taiwan’s most comprehensive Traditional Chinese language models. These solutions have been selected for inclusion in the government’s Inter-Entity Supply Contract E-Procurement System, supporting public sector agencies in navigating the AI era with confidence and contributing to the growth of Taiwan’s AI industry alliance.

Ethan Tu, founder of Taiwan AI Labs, emphasized that while AI technologies can address issues such as workforce shortages and heavy administrative burdens, it is essential to consider the potential risks associated with global AI technology providers, including insufficient data security measures and the impact of AI bias.Globally, numerous incidents have demonstrated how improper AI deployment can compromise organizational security and personal data.

In April 2024, cybersecurity firm UpGuard revealed a major U.S. government AI contractor had stored around 550GB of sensitive data on an unprotected cloud database, exposing critical information to public access and creating national security vulnerabilities. Mainstream large language models (LLMs) can also store information through APIs or interactive sessions, raising concerns about data security and confidentiality.

Taiwan AI Labs: Ensuring Trusted AI and Data Protection

With generative AI technologies accelerating efficiencies across industries, most mainstream models require organizations to upload data to the cloud, increasing the risk of sensitive data leakage. Taiwan AI Labs’s FedGPT technology, however, keeps all confidential data within the organization. Its dedicated models do not share data externally, aligning with stringent regulatory requirements in sensitive industries.

Ethan Tu compared FedGPT to an experienced and highly reliable team member who works exclusively within the organization, ensuring that no internal information is shared externally—unlike relying on outside contractors.

Taiwan AI Labs’ AI solutions for the public sector focus on core principles of transparency, traceability, verifiability, and auditability. The offerings now available through the Inter-Entity Supply Contract E-Procurement System include:

  1. FedGPT: Trusted and Responsible Generative AI Solution
    FedGPT, a proprietary large language model (LLM) by Taiwan AI Labs, excels at text comprehension and summarization. It can quickly analyze policy documents, public opinions, and news trends. Additionally, its intelligent Q&A system can provide 24/7 support, enhancing public service quality. 
  2. Federated Learning (FL) Platform
    This platform extends FedGPT’s capabilities by enabling organizations to train language models without needing AI expertise. It supports multi-modal training across industries such as finance, healthcare, and media. Federated learning ensures data privacy while enabling joint model development, particularly useful for applications like medical research and financial fraud prevention. 
  3. Yating Smart ASR
    The world’s first ASR engine fluent in Mandarin, English, and Taiwanese, Yating Smart ASR generates precise transcripts for various settings, including educational courses, internal meetings, public hearings, interviews, court records, and policy seminars. 
  4. Yating Smart AI Anchors and TTS
    These AI anchors generate dynamic audio-visual content based on FedGPT’s data and TTS technology. They are ideal for educational materials and policy announcements.

Public sector entities can access these solutions via the government’s e-procurement system or contact marketing@ailabs.tw for direct assistance.

Product Listings on the Government E-Procurement System

  • FedGPT Standard and Maintenance Editions
  • Federated Learning Platform and Maintenance Editions
  • Yating Smart Basic, Intermediate, and Advanced Bundles
  • Yating Smart AI Anchor Editions (Basic, Intermediate, Advanced)
  • Yating Smart ASR Editions (Basic, Intermediate, Advanced)
  • Yating Smart TTS Editions (Basic, Intermediate, Advanced)

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw) focuses on trusted AI solutions, offering advancements in healthcare, federated learning, AI virtual anchors, and more. Their research in generative AI and misinformation detection has gained international recognition, contributing to Taiwan’s role as a global AI leader.

Media Contact:
Ellie Chen
Taiwan AI Labs PR
Email: wanhsin.chen@ailabs.tw

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Diplomats and Representatives from 23 Countries Convene in Kaohsiung to Discuss Sustainable AI: Taiwan AI Labs Showcases Key Research Advancements

[November 4, 2024, Kaohsiung] Taiwan AI Labs hosted an international forum on November 2 at its Kaohsiung R&D Center, welcoming 38 diplomats and representatives from 23 countries to discuss the future of sustainable and trusted AI. Leading the event were Foreign Minister Lin Chia-lung and his wife, Mrs. Patricia Liao, alongside Kaohsiung Mayor Chen Chi-mai and Taiwan AI Labs Founder Ethan Tu. The forum underscored Taiwan’s growing influence in global AI innovation and its commitment to fostering international collaboration on secure, responsible AI development.

Foreign Minister Lin highlighted Taiwan’s pivotal role in AI technology through initiatives such as the Taiwan AI Federated Learning Alliance（TAIF（TAIFA））, which emerged through government and industry cooperation during his previous tenure. He noted that Taiwan’s pioneering digital twin platform for smart tourism, developed in response to the pandemic, has strengthened the nation’s position as a global leader in AI transformation. Lin emphasized that international partnerships are key to Taiwan’s development of AI as a strategic asset and soft power, particularly in fostering trusted and responsible AI.

Mayor Chen, recognizing his high school connection with Ethan Tu, reaffirmed Kaohsiung’s dedication to sustainable AI, with Taiwan AI Labs as a core partner in advancing solutions that align with the city’s net-zero goals. Taiwan AI Labs has collaborated with Kaohsiung’s Net Zero Institute to make AI-powered energy conservation a model for international sustainable practices. This partnership is set to deepen AI’s role across healthcare, agriculture, and transportation, supporting Kaohsiung’s urban transformation into a leading smart city.

Photo Caption: Taiwan AI Labs presents its latest achievements in smart healthcare and global AI partnerships. (From left: Vice Minister of Foreign Affairs Remus Li-kuo Chen, Mrs. Patricia Liao, Foreign Minister Lin Chia-lung, Kaohsiung Mayor Chen Chi-mai, and Taiwan AI Labs Founder Ethan Tu)

At the forum, Taiwan AI Labs unveiled three major research breakthroughs developed in collaboration with the Ministry of Economic Affairs, Kaohsiung City Health Bureau, and multiple medical and research institutions. These include a federated FedGPT platform for secure collaboration across international medical centers, a multimodal AI model designed for energy efficiency, and AI-driven virtual assistants to support healthcare and education in multilingual contexts.

Joining the event were Kaohsiung Deputy Mayor Lee Huai-Jen, Health Bureau Director General Huang Chih-chung, Environmental Protection  Bureau Director General Chang Jui-Hun, and Department of Administrative and International Affairs Director General Chang,Yen-Ching.. Ethan Tu noted that Taiwan AI Labs’ Kaohsiung office, located in the Asia New Bay Area, is the world’s first integrated generative AI healthcare ecosystem designed with sustainability as a central focus.

In 2022, Taiwan AI Labs launched the Kaohsiung Federated Learning Healthcare Alliance, partnering with Kaohsiung Medical University Hospital, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung Veterans General Hospital, and E-Da Hospital. Through federated learning, the alliance enhances diagnostic accuracy and predictive healthcare across Taiwan’s network of 120 participating hospitals, forming one of the largest federated healthcare networks globally.

With support from Kaohsiung City Government and the Ministry of Economic Affairs, Taiwan AI Labs has led the A+ Enterprise Innovation Development Program since 2023, advancing AI healthcare solutions across southern Taiwan in collaboration with key medical and research partners.

Photo Caption:Taiwan AI Labs Founder Ethan Tu introduces FedGPT’s privacy-focused, federated AI approach.

Taiwan AI Labs’ 2024 Research Highlights in Generative AI

  1. Pioneering Federated AI for Net-Zero and Sustainable Development

As global AI technology demands higher energy consumption, Taiwan AI Labs has led efforts to create a sustainable model with FedGPT, a lightweight yet highly accurate federated AI system tailored to business needs. Recent tests with traditional Chinese finance data reveal that FedGPT Pro outperforms larger models like TW-Llama3 and GPT-4o, providing exceptional accuracy with reduced power requirements.

Photo Caption: Using the TMMLU+ traditional Chinese finance benchmark, FedGPT Pro outperforms larger models, showcasing its energy-efficient design.

FedGPT’s federated data governance approach enables organizations to leverage internal data infrastructure, reducing redundant storage and energy usage by eliminating the need for centralized data centers.

Photo Caption: The energy-efficient FedGPT healthcare model, deployed at medical centers, provides comprehensive treatment recommendations, surpassing most open foundational models and even outperforming GPT-3.5.

 

  1. Expanding Trusted AI Through International Partnerships

The forum brought together representatives from Taiwan’s diplomatic allies—including Belize, St. Lucia, Paraguay, and Guatemala—and representatives from nations such as Jordan, Poland, Vietnam, and New Zealand. Ethan Tu emphasized that FedGPT’s federated structure allows organizations to train AI models without sharing sensitive data externally, aligning with global data privacy concerns and preserving digital sovereignty.

In 2024, Taiwan AI Labs launched federated AI services internationally, partnering with prestigious institutions like NYU Langone Health and Miami Cancer Institute. These partnerships leverage FedGPT to support precision oncology, demonstrating Taiwan’s leadership in global AI healthcare applications.

  1. Federated Multimodal AI for Advanced Medical Solutions

The Kaohsiung Federated Learning Healthcare Alliance recently developed a federated AI model for X-ray analysis, aiding early osteoporosis detection with an impressive AUC score of 96%. In collaboration with major hospitals, the alliance has produced 161 specialized models across orthopedics, cardiology, and nephrology. The platform has achieved international certifications and completed over 425 cross-institutional training sessions, enhancing clinical applications and bridging data silos.

During the forum, Mark Pearson,the Director of the New Zealand Commerce and Industry Office inquired about additional applications of federated learning beyond healthcare. Ethan Tu noted that successful implementations in regulated sectors such as healthcare and finance could set the stage for broader applications in other industries. Taiwan AI Labs is also applying AI solutions to quality control in Kaohsiung’s steel industry and has partnered with the Ministry of Transportation on a digital twin tourism platform that has garnered billions of views globally.

Photo Caption: Ambassadors and foreign representatives join Kaohsiung officials at Taiwan AI Labs to explore Taiwan’s advancements in AI healthcare.

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw) is dedicated to trusted AI, combining generative AI with solutions in smart healthcare, federated learning, AI virtual anchors, and news analysis. Known for its human-AI interaction expertise, Taiwan AI Labs has developed AI tools to combat misinformation, earning recognition in leading international journals.

About FedGPT

FedGPT (https://fedgpt.cc) is a federated large language model developed by Taiwan AI Labs, trained on over 100 billion traditional Chinese tokens. FedGPT prioritizes reliable, knowledge-based responses verified through federated learning, ensuring a secure and trustworthy AI model.

About Taiwan Traveler

The “Taiwan Traveler” platform (https://tter.cc) is a pioneering project developed by Taiwan AI Labs in collaboration with the Ministry of Transportation’s Technology Advisory Office. It is the world’s first smart tourism platform integrating both virtual and physical experiences. Utilizing cutting-edge domestic technologies in 5G, AIoT, and autonomous driving, the platform creates an open, interactive environment. Through devices such as mobile phones, computers, and set-top boxes, visitors can engage in immersive tourism experiences across various scenarios, guided by interactive technology.

Media Contact

Ellie Chen, PR, Taiwan AI Labs
Email: wanhsin.chen@ailabs.tw

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Metal Industries R&D Center CEO Visits Taiwan AI Labs FedGPT Drives Innovation in Smart Medical Devices and Metal Industry Upgrades

[September 27, 2024] On September 26, Metal Industries R&D Center (MIRDC) CEO, Lai Yong-Xiang, visited Taiwan AI Labs’ Kaohsiung office to discuss future collaboration, focusing on advancing medical innovation and technology applications in Southern Taiwan. The discussions centered around the development of generative smart medical devices, the application of federated learning in metal knowledge databases, and joint efforts in metal quality inspection, fault prediction, and robotic technology.

Lai emphasized that the advancement of generative smart medical devices will enhance the design and manufacturing efficiency of medical equipment, promoting industry upgrades. With Taiwan AI Labs’ cutting-edge FedGPT technology and research resources, both parties aim to develop forward-looking, market-driven smart medical devices and generative technologies.

Lai also highlighted the potential of federated learning, which allows different enterprises and institutions to collaboratively train models without sharing sensitive data, thus building an efficient metal knowledge database. This technology not only enhances learning efficiency but also promotes resource sharing, giving the metal industry in Kaohsiung a competitive edge.

The meeting also proposed several specific collaboration plans on metal quality inspection and fault prediction. By leveraging AI, both parties hope to develop more precise inspection systems to improve product quality and reduce risks in the production process. Additionally, the application of machine learning algorithms for fault prediction can enhance production efficiency and reduce maintenance costs.

Regarding robotics and robotic arms, both sides recognized the significant potential for metal processing and production lines. Collaborating in this area will accelerate the promotion and application of robotic arm technology, advancing automation in the production lines of Kaohsiung’s metal industry.

Founder of Taiwan AI Labs, Ethan Tu, emphasized that with the robust support of FedGPT, this collaboration not only showcases AI’s vast potential across diverse industries but also injects long-term momentum into the transformation of the medical and manufacturing sectors.

This meeting marks a new stage of cooperation between MIRDC and Taiwan AI Labs, with both parties committed to maintaining close contact and driving technological innovation and industry upgrades, contributing to Kaohsiung’s tech development.

 

About FedGPT
FedGPT (https://yating.tw/zh-hant/fedgpt-landing) is a localized large language model developed by Taiwan AI Labs. Trained on over 100 billion Traditional Chinese tokens, it emphasizes evidence-based responses and trustworthy AI by using internal knowledge bases and federated learning. The platform adheres to principles of responsible AI, ensuring information security.

About Taiwan AI Labs
Taiwan AI Labs (https://ailabs.tw) integrates generative AI with a focus on trusted AI to deliver solutions in smart healthcare, federated learning, AI virtual anchors, future scene generation studios, and news analysis platforms. Its AI-driven research spans across fields including music generation, speech recognition, and semantic understanding. Taiwan AI Labs has been at the forefront of combating disinformation, with its research garnering significant international attention and being published in top academic journals.

Taiwan AI Labs continues to lead global AI research efforts, aiming to build a united AI industry alliance in Taiwan, bringing together talent, resources, and the industrial chain to promote federated cloud solutions worldwide.

 

Media Contact
Ellie Chen
PR, Taiwan AI Labs
Email: wanhsin.chen@ailabs.tw

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Taiwan AI Labs and HPE Forge Partnership: FedGPT Set to Lead the AI PC Revolution

[September 27, 2024] Taiwan AI Labs and Hewlett Packard Enterprise (HPE) have officially signed a memorandum of understanding (MOU) today, marking a pivotal collaboration to deliver trusted and responsible FedGPT solutions for businesses, as well as public and private sectors, to accelerate the adoption of AI PCs.

This partnership follows Taiwan AI Labs’ successful deployment of FedGPT across universities and enterprises in the third quarter of 2024. FedGPT, a federated GPT model developed by Taiwan AI Labs, is now integrated into HPE servers, serving as the computing backbone for diverse applications. For example, it can answer students’ questions about campus life in schools and assist with legal compliance in enterprises.

Throughout the training process, all data and knowledge remain entirely within the organization, ensuring strict adherence to internal data security and governance standards without relying on third-party cloud services. FedGPT has also passed rigorous testing in areas such as cybersecurity, privacy, hallucination, and bias control, aligning with its core principles of “trusted and responsible” AI.

This collaboration highlights the deep integration of software and hardware, showcasing the strength of Taiwan AI Labs and HPE. FedGPT offers a comprehensive AI platform tailored for hospitals, schools, and businesses. Key features include AutoKB for knowledge base creation, AutoCopilot for integrating internal APIs, and AutoML, which supports the self-learning of language and domain-specific models. Additionally, it incorporates advanced role-based permissions, security, and audit features, ensuring that sensitive data stays within the organization.

HPE’s ProLiant Servers, specifically designed for AI applications, are currently equipped with Intel Xeon Scalable processors and NVIDIA GPUs to accelerate the deployment of generative AI solutions. Looking forward, these servers will integrate more cutting-edge hardware to meet the demands of the AI era.

The Rise of AI PCs: FedGPT as a Trusted OS for Enterprises

According to IDC, global AI PC shipments are expected to grow from nearly 50 million units in 2024 to over 167 million by 2027, with AI PCs accounting for almost 60% of all PC shipments by the end of 2027.

Ethan Tu, Founder of Taiwan AI Labs, emphasized that the next two to three years will be a critical period of explosive growth for the AI PC market. He highlighted that federated architecture moves large language model computing from the cloud to local devices, reducing computing costs, improving performance, and enhancing data privacy protection.

Tu also pointed out that AI services are already widely adopted across industries. Taiwan’s future lies in alliances between top-tier software and hardware partners to establish private network and cloud models within organizations, delivering the most comprehensive and affordable “trusted and responsible” solutions. This, Tu noted, is the path for Taiwan to become a key player in the global AI supply chain. Taiwan AI Labs’ partnership with HPE is just the beginning of efforts to build a robust AI ecosystem through broader industry collaborations.

Jon Wang, Managing Director and President for HPE Taiwan, expressed his enthusiasm for the collaboration, calling it a significant milestone. He noted that by combining FedGPT’s technological strengths with HPE’s computing power, generative AI applications are poised to spread across various industries. Wang expects this partnership to unlock new market opportunities and drive the progress of Taiwan’s AI technology and industry.

 

About FedGPT

FedGPT, developed by Taiwan AI Labs, is a federated large language model designed to provide reliable, secure AI responses while ensuring data privacy. Trained on over 100 billion traditional Chinese language tokens, FedGPT integrates federated learning, allowing organizations to build their own AI models without compromising sensitive data.

About Taiwan AI Labs

Taiwan AI Labs is a leader in generative and trusted AI solutions, with applications spanning healthcare, federated learning, media, and human-machine interaction. The company is focused on creating AI platforms that address critical global issues and is actively building partnerships to promote Taiwan as a hub for AI innovation.

About Hewlett Packard Enterprise (HPE)

Hewlett Packard Enterprise is a global leader in edge-to-cloud solutions, providing advanced computing, AI, and storage technologies. HPE’s mission is to help businesses unlock the value of their data, driving innovation and operational efficiency through cutting-edge technology solutions.

Media Contact

PR

Ellie Chen

Mail：wanhsin.chen@ailabs.tw

 

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Taiwan AI Development Foundation Announces Re-Election of Board Members

Photo Caption: A group photo of the second and third board members of the Taiwan AI Development Foundation. From left to right, starting from the second person: Hung-Yi Lee, Pan-Chyr Yang, Yi-Chin Tu, Liang-Gee Chen, Tsung-Ching Wu, Chen-Wei Wang, Yi-Hsuan Yang, Chien-Yu Chen, and Yun-Nung Chen.

 

[Taipei, Taiwan, July 24, 2024]This week, Taiwan AI Labs conducted its board re-election, inducting four distinguished leaders into its third board: Pan-Chyr Yang, Liang-Gee Chen, Tsung-Ching Wu, and Chen-Wei Wang. These figures hail from diverse fields, including healthcare, technology R&D, venture capital, and industrial transformation.
Yi-Chin Tu, Chairman and founder of Taiwan AI Labs, emphasized that generative AI is steering global industrial transformation. He highlighted Taiwan’s role in the international AI landscape as more than just a provider of computing power. This year, Taiwan AI Labs has engaged with multiple international organizations, championing the global deployment of trustworthy and responsible AI technology. The new board members are esteemed global industry leaders, poised to spearhead the practical application of AI across various sectors.

Eminent Figures Converge to Advance AI Industry Applications

Among the newly elected board members, Chen-Wei Wang, former CEO and General Manager of Quanta Computer, is a significant influencer in the tech industry. His expertise in expanding Quanta’s global reach will accelerate the integration of AI into Taiwan’s industrial sector. Tsung-Ching Wu, with 35 years of experience in Silicon Valley’s semiconductor industry, is renowned for nurturing technological innovation teams and is an ideal mentor for AI startups.

From the government and academic sectors, Liang-Gee Chen, as the Minister of Science and Technology in 2017, was the pioneer in transitioning Taiwan’s tech industry mindset from OEM to an AI-centric strategy. His initiatives were instrumental in the establishment of AI labs and other projects, significantly contributing to Taiwan’s AI strategy.

In the medical field, academician Pan-Chyr Yang has been a vanguard in merging healthcare with technology. In collaboration with Taiwan AI Labs, he established the Taiwan Clinical Trial Consortium (TCTC) for specific diseases, advancing medical federated data governance and the Taiwan Federated Learning Healthcare Alliance. He is a key advocate for AI alliances in Taiwan’s healthcare sector.

The new board also features leading scholars such as Hung-Yi Lee and Yi-Hsuan Yang, both professors in the Department of Electrical Engineering at National Taiwan University (NTU), specializing in AI and its intersection with humanities, arts, and music. Yun-Nung Chen, an associate professor in the Department of Computer Science and Information Engineering at NTU, is an expert in large language models. Cheen Liao, co-founder of Synology and Taiwan AI Labs, brings extensive international experience in large-scale data processing and continues to serve the foundation.

Photo Caption: Second-term board members, including Lin-Shan Lee, an honorary professor in the Department of Electrical Engineering at NTU, retired due to personal career planning. Chien-Yu Chen, a professor in the Department of Bio-Industrial Mechatronics Engineering at NTU, retired after her term ended due to her new role as department chair. Yi-Chin Tu presented certificates of appreciation to honor these distinguished scholars for their significant contributions to the AI field.

 

Future Vision: FedGPT for Public Health, Industry Applications, and Cognitive Resilience

Ethan Tu outlined the next objectives of Taiwan AI Labs, aiming to address Taiwan’s AI transformation challenges and set a global example.

First, acting as a bridge for expanding international cooperation between Taiwan’s public and private sectors, Taiwan AI Labs will provide innovative R&D technologies and talents from the private sector, aiding AI industry innovation. Simultaneously, it will prevent AI misuse, enhance cognitive warfare detection and response, and bolster societal resilience.

Second, in alignment with the national vision of “Healthy Taiwan,”  Taiwan AI Labs will utilize a federated learning platform to establish national-level federated health data, integrating medical genetics and various body characteristics. This initiative aims to contribute to international precision medicine while scientifically resolving Taiwan’s long-standing ancestral heritage and cultural roots controversies.

Currently, over 80% of medical centers in Taiwan are partners with Taiwan AI Labs on the federated learning platform. Ethan Tu emphasized that the core principle of federated learning is “data remains in place, alliances share results, and establish trustworthy and responsible AI.” This approach reduces model training costs and protects patient data privacy.

In the era of generative models, Yun-Nung Chen led the NTU team, in collaboration with Taiwan AI Labs and other partners, to successfully open-source the TAME general model for various industries. Yi-Hsuan Yang developed artistic and music models for film and multimedia, with results presented at the International Society for Music Information Retrieval (ISMIR) conference.

Taiwan AI Labs has expanded to become an enterprise-specific federated generative platform, integrating industry needs to create custom FedGPTs for enterprises. Addressing alliance needs in healthcare, finance, and multimedia, the foundation aims to build professional GPTs to enhance industry competitiveness.

 

Addressing Taiwan’s Major Industry Issues

The board of the Taiwan AI Development Foundation also discussed Taiwan’s current industry development needs and the international challenges of AI regulation, including data privacy and legal issues.

Pan-Chyr Yang highlighted that while Taiwan’s healthcare industry aims to promote smart healthcare, it faces difficulties in acquiring medical data, which, if unresolved, could make Taiwan a “digital colony.” He suggested that the foundation actively assist various fields in Taiwan to establish federated data agencies, utilizing AI technology to standardize industry data and implement data governance based on trust and responsibility, thereby paving the way for a more innovative future for Taiwan’s AI applications in healthcare and other technologies.

Chen-Wei Wang emphasized that AI applications will be essential for all industries in the future. He recommended starting with industries that can quickly convert to commercial value, establishing models that can then be replicated within the same industry and beyond. He will work with Taiwan AI Labs to discuss future industry policies.

Tsung-Ching Wu stated that trustworthiness is Taiwan’s AI advantage and foundation. Taiwan AI Labs and its alliances will promote open model licensing, allowing the foundation and alliance to receive industry feedback, accelerating development, and ensuring sustainable growth for the foundation and its member industries.

Liang-Gee Chen proposed that Taiwan should adopt an “AI Foundry” model. By positioning the foundation and its alliances as the AI design house for the global industry, Taiwan can emulate the chip industry by vertically integrating its “software-led hardware” application advantages. This approach aims to establish Taiwan as the model provider for leading global AI application companies, continuously leading and participating in the rapid growth of global high-tech.

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First AI Nurse in Taiwanese Indigenous Language Unveiled, Speaks 18 Languages

Photo Caption: Minister of Labor Ho Pei-shan interacts with the iBodhi AI Assistant, praising its ability to reduce nurses’ workload, describing it as “really smart”.

[Taipei, Taiwan, July 18, 2024] The global nursing staff shortage has become increasingly critical with the rise of super-aged societies. The World Health Organization (WHO) recommends a yearly 8% increase in nursing graduates until 2030 to meet this growing demand. Taiwan, expected to become a super-aged society by 2025, faces severe challenges with heavy workloads and insufficient staffing, leading to only 60% of licensed nurses practicing. To address these issues, Taiwan AI Labs has partnered with Hualien Tzu Chi Hospital to develop innovative AI applications to assist nurses, enabling new staff to quickly become effective.

Invited by the Ministry of Labor, Taiwan AI Labs showcased pioneering generative AI nursing applications, including the “iBodhi Nursing AI Assistant” and the “Indigenous Language Virtual Nurse,” at the 54th National Skills Competition themed “Creating Dreams.” Minister of Labor Ho Pei-shan attended, experiencing firsthand how the iBodhi AI Assistant, powered by FedGPT, can generate nursing care records and significantly enhance the work environment for healthcare professionals.

AI-Assisted Nursing for Efficient and Human-Centric Care

Hualien Tzu Chi Hospital highlighted the challenges faced by frontline nursing staff, including manpower shortages and the significant time required for medical documentation. New nurses need several months to become proficient, and the inconsistency in manual records further complicates care, especially for patients with complex conditions.

To address these challenges, Taiwan AI Labs implemented local AI speech recognition technology “Yating” and generative AI “FedGPT” to create the iBodhi Nursing AI Assistant at Hualien Tzu Chi Hospital. In just one month, the AI was trained to generate precise nursing summaries, recognizing Chinese, English, and Taiwanese, with a strong focus on medical terminology. Nurses can interact verbally with the AI, which then automatically generates textual summaries of patient admissions and handovers.

Extensive testing revealed several benefits of the AI assistant. It improved the detail in nursing records, capturing important information often missed in manual entries, including patient emotional states. This comprehensive reporting would take 2-3 times longer to produce manually. The AI ensures efficiency while maintaining “human-centered intelligent care.”

Additionally, FedGPT standardizes nursing records, facilitating quicker and more effective handovers between senior nurses and new staff. Developed as an on-premise Traditional Chinese language model, FedGPT ensures patient privacy and data security within the hospital.

Photo Caption: The iBodhi Nursing AI Assistant uses natural conversation to record audio, with FedGPT generating precise nursing summaries compatible with the hospital’s system. (Image for illustration purposes.)

 

Addressing the challenge of health education for patients speaking different native languages, Taiwan AI Labs also developed a virtual nurse modeled after Chung Hui-chun, the Director of Nursing at Hualien Tzu Chi Hospital. This virtual nurse is proficient in 18 languages, including Chinese, Taiwanese, and English, and is the world’s first to speak the Truku language. Nurses can input health education text, and the AI generates multilingual videos within minutes, ensuring smooth communication with patients and marking a milestone in Taiwan’s smart care.

Photo Caption: Taiwan AI Labs’ virtual nurse, modeled after Chung Hui-chun, is proficient in multiple languages, including Truku

Photo Caption: Chung Hui-chun, Director of Nursing, with the virtual nurse.

Hualien Tzu Chi Hospital emphasized that the collaboration with Taiwan AI Labs to develop the nursing AI assistant aligns with President Lai Ching-te’s assertion that “AI power is national power.” This partnership aims to reduce the workload of middle-aged and senior nurses. Taiwan AI Labs’ founder Ethan Tu stated that the organization will continue to develop AI medical services and collaborate with top domestic hospitals to establish federated learning AI models, enhancing the efficiency and accuracy of healthcare workers and advancing intelligent medical assistance.

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