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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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Taiwan AI Labs Founder Ethan Tu at NATO Summit

Photo Caption: Ethan Tu, founder of Taiwan AI Labs, was invited to Washington, D.C. to attend the NATO summit. He delivered a speech on the topic of information warfare during the 2024 European Parliament elections and engaged in discussions with the Special Competitive Studies Project (SCSP), an AI and national security think tank based in Washington.

 

[Taipei, Taiwan, July 12, 2024]  The manipulation of information by certain forces to influence election outcomes has become a global concern. On July 9, Ethan Tu, founder of Taiwan AI Labs, attended the NATO summit in Washington, D.C., where he delivered a speech addressing the issue of information manipulation during the 2024 European Parliament elections. Tu called for the establishment of trustworthy AI verification mechanisms to address the current crisis of information warfare facing democracies.

Taiwan AI Labs’ cognitive security tool, Infodemic, was utilized to analyze 26,011 social media battlefields and 335,045 major news stories across multiple platforms, including Facebook, YouTube, and X, from July 1, 2023, to June 24, 2024. According to Infodemic’s analysis, during the EU Parliament Election period, there were 20,041 troll group accounts displaying abnormal behavior, not operated by genuine users. These troll groups accounted for 12.58% of the discussions related to the EU Parliament Election.

The most influential troll groups were divided into two main categories. One group focused on Eastern European geopolitics and international military issues, such as the Russia-Ukraine war and NATO actions. The other group concentrated on attacking Western democratic systems, particularly the UK and the US, spreading negative narratives about national leaders and government decisions, aiming to undermine public confidence in democratic institutions. Further analysis revealed that these groups operated transnationally, also engaging in issues related to the US presidential election.

Troll Groups Align with Authoritarian State Media: European Parliament Faces Information Warfare Similar to Taiwan’s Presidential Election

The analysis indicated that these troll groups shaped public opinion by criticizing mainstream media for lack of impartiality, amplifying Russian propaganda, and attacking EU digital regulations aimed at combating misinformation and hate speech. This rhetoric potentially fosters far-right conservative ideologies and aims to instill doubt about the threats posed by the rise of extremism.

Moreover, during the same period, Infodemic used FedGPT to analyze 1,624 major news events, finding that 16.07% were related to Russian and Chinese state media. Notably, during the European Parliament election, on key issues such as the Russia-Ukraine war, energy security, digital regulation, immigration, and climate, the narratives of these troll groups aligned with those of Russian and Chinese state media, challenging the EU’s leadership narrative.

For instance, comparing July-August 2023 to September-October 2023, online attacks on the EU’s support for Ukraine increased from 30.5% to 34.97%. Negative public opinion on economic issues, particularly energy security, accounted for 22.04% of troll group narratives in September-October 2023, making it one of the largest battlegrounds during the election period.

Tu specifically pointed out that these opinion manipulation strategies are similar to phenomena observed by Infodemic during Taiwan’s 2024 presidential election. Troll groups exploited issues like military spending and energy security to erode public trust in the government and Taiwan’s international allies. Compared to traditional election propaganda, the information warfare strategies used by these troll groups are more sophisticated. They do not merely spread misinformation on single issues but weave targeted narratives across multiple countries and topics into everyday online interactions, deepening their impact on public opinion. This presents a significant challenge to democratic governance.

Global Stability Threats Extend Beyond Physical Battlefields: Developing Trustworthy AI Mechanisms to Counter Information Warfare

In the NATO summit speech, Taiwan AI Labs built on its recent engagement at the inaugural AI Expo for National Competitiveness held in May 2024 in the U.S. This event facilitated another critical exchange with the influential Washington think tank, the Special Competitive Studies Project (SCSP), focusing on the pressing issues of information warfare and national security.

Photo Caption: At the first AI Expo for National Competitiveness, Taiwan AI Labs was invited to participate. Founder Ethan Tu delivered a speech, sharing Taiwan’s experience in developing large open-source language models TAIDE and TAME, as well as further establishing the alliance-level FedGPT. He discussed applying AI technology to identify information manipulation and protect digital democracy.

 

Before the NATO summit, SCSP Executive Director Ylli Bajraktari published an article on Project Syndicate, a leading global commentary website, titled “AI-Augmented Disinformation Is NATO’s New Battlefield.” Bajraktari emphasized that the threats to global stability have surpassed traditional military domains. NATO member states must directly respond to cognitive warfare initiated by hostile authoritarian regimes. Specific measures include investing in tools capable of identifying content authenticity, such as large language models (LLMs) and AI classifiers, to detect AI-generated or altered content and identify malicious activities by adversarial factions on digital platforms, thereby reducing their influence on the public. Additionally, given that information manipulation often transcends national borders, NATO should ally with governments, civil organizations, and private companies to establish early warning systems and collaborate to counter large-scale information warfare.

Ehtan Tu stated that 2024 is a global election year, and echoing Ylli Bajraktari’s views, it is crucial to collaborate with reliable partners to establish AI mechanisms that expose information manipulation tactics by coordinated online accounts, thereby enhancing the resilience of democratic systems against threats such as disinformation and ideological polarization. Taiwan AI Labs’ Infodemic platform is an AI-driven cognitive security platform designed to detect modern information warfare practices, track the spread of false information, and reveal the targets, tactics, and strategies employed by adversaries that may impact national security.

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Global Debut of Traditional Chinese Financial GPT: Taishin Brain Launches

[Taipei, Taiwan, July 5, 2024]Taiwan AI technology is poised to revolutionize the global financial industry. Today, Taishin Bank and Taiwan AI Labs announced the official launch of “Taishin Brain,” a groundbreaking financial GPT system tailored for the financial sector with Traditional Chinese as its core language. This project marks a new chapter in Taiwan’s financial AI innovation.

“Taishin Brain” integrates the advanced FedGPT, a Traditional Chinese large language model, within a framework of trusted and responsible AI. Unlike conventional GPT models, it is meticulously trained using Taishin Bank’s internal data and knowledge, including financial regulations and expertise, ensuring it meets stringent global regulatory standards. This makes “Taishin Brain” the world’s first Traditional Chinese language model to address the highly regulated financial sector’s demands.

With specialized training in financial expertise, “Taishin Brain” delivers precise, intelligent responses even to ambiguous queries, setting a new standard for humanized AI in the financial domain. Leveraging federated learning (FedGPT), it ensures data privacy and security while utilizing Taishin Bank’s professional data to meet the unique needs of financial institutions. This integration enhances the professionalism and efficiency of human customer service.

Through advanced AutoML capabilities, “Taishin Brain” autonomously learns and continuously improves. It connects with Taishin Bank’s internal financial systems via AutoCopilot to streamline processes effectively.

“Taishin Brain” is a pioneering leap in financial technology, positioning Taiwan’s financial industry at the forefront of global intelligence and significantly boosting the competitiveness of Taiwan’s financial market.

 

FedGPT: Taiwan’s First Enterprise-Dedicated Traditional Chinese GPT

While ChatGPT interacts, analyzes, and provides information across various data formats, its training in the Chinese domain has primarily focused on Simplified Chinese, with limited financial expertise. In contrast, FedGPT, developed by Taiwan AI Labs in 2023, is designed for Traditional Chinese and specialized fields like finance, healthcare, and media.

FedGPT’s federated learning model allows institutions to keep data in-house while training on diverse document types, ensuring compliance with the Financial Supervisory Commission’s AI guidelines. Users can select knowledge bases tailored to their specific institution and domain, resulting in more accurate financial responses.

 

Technological Innovation Meets Financial Expertise

“Taishin Brain” leverages internal technical fine-tuning and automated machine learning, enabling effective training with minimal data and resource usage. The system continuously updates and optimizes based on data, ensuring accurate and reliable responses in the financial sector.

 

Building a Comprehensive Knowledge Base

The first phase of “Taishin Brain” focuses on establishing an extensive knowledge base, including financial regulations, legal knowledge, and Taishin Bank’s corporate data. This resource will significantly enhance internal information retrieval and employee efficiency.

 

Commitment to Information Security and Privacy

“Taishin Brain” uses AI algorithms to prevent biases, hallucinations, and harmful content. Secure classifiers filter inappropriate material, and data governance ensures legality, compliance, and explainability, enhancing model training efficiency and data privacy.

 

Practical Applications: Smart Customer Service and Knowledge Management

“Taishin Brain” excels in smart customer service and knowledge management. Unlike traditional chatbots, its generative AI integrates information and provides intelligent, accurate responses, addressing customer service pain points, reducing labor costs, and improving corporate efficiency.

Ethan Tu, founder of Taiwan AI Labs, stated, “Our goal is to develop a trusted and responsible AI that is human-centered and protects privacy. As the world considers integrating ChatGPT into financial institutions, we are addressing labor and time cost challenges, providing intelligent customer service solutions both internally and externally.”

Taishin Bank views “Taishin Brain” as a significant breakthrough in Taiwan’s financial technology sector, enhancing service quality and customer experience. In collaboration with Taiwan AI Labs, Taishin Bank will continue to develop this AI brain for its employees and customers, offering intelligent, convenient solutions across more domains in the future.

 

About FedGPT (https://yating.tw/zh-hant/fedgpt-landing)

FedGPT is an on-premises large language model technology developed by Taiwan AI Labs. It is built using Taiwan’s own LLM (Large Language Model) technology, trained with over 60 billion tokens of Traditional Chinese corpus. The model emphasizes providing grounded responses based on internally established knowledge bases or verified through federated learning alliances, ensuring a trustworthy AI model. The technology adheres to principles of trusted and responsible AI, with a strong emphasis on information security.

 

About Taiwan AI Labs

Taiwan AI Labs (https://ailabs.tw, operating under the guiding principle of trusted AI, effectively integrates generative AI into a range of solutions, including smart healthcare, federated learning, AI virtual hosts, future scenario generation studios, and news analysis platforms. In the field of human-computer interaction, they develop technologies for AI-generated music and art, speech recognition, and semantic understanding. A major application addresses the global concern of disinformation and fake news, analyzing the context and patterns of information manipulation. These achievements have sparked lively discussions internationally and have been frequently recognized and published in authoritative international journals.

 

Taiwan AI Labs continues to lead cutting-edge AI research, aspiring to form a national AI team by integrating talent, resources, and the industrial chain. Their goal is to establish a Taiwan Federated Learning Industry Alliance and promote federated solutions from both public and private clouds to a global audience.

Taiwan AI Labs Partners With Shin-Kong Hospital for Ensuring Quality in Clinical Application of NGS

Medical care in cancer treatment planning and inherited disease diagnosis have increasingly adopted genetic-based examination as part of standard medical care. At the beginning of 2021, the Taiwan Food and Drug Administration(TFDA) modified the “Regulations Governing the Application or Use of Specific Medical Techniques or Examinations, or Medical Devices,” which added the guidance of the regulatory approach to genetic testing. Guidelines specifically describe how clinical laboratories design, develop, and validate tests. Also, it identifies the role and responsibility of healthcare institutes for adopting these new testing in the patient journey.

Among the varieties of genetic testing technology, NGS has the potential to bring vast amounts of data, meaning that efficient systems for storage and QC evaluation are more essential than ever. TAIGenomics, under Taiwan AI Labs, has continued to collaborate with the Precision Medicine Center of Shin Kong Hospital(SKH) over the past three years to implement a clinical-user-friendly platform called QCheck into their medical flow. This platform follows up different guidelines and regulations, such as FDA, ACMG, NYSDOH, and CAP, and provides different perspectives to monitor the quality of NGS-based genetic testing.

“TAIGenomics is delicate in combining the power of informatics talents and clinicians. In the future of precision medicine, we want to provide the security of recognized certification and ensure clinical labs deliver optimum performance, quality, and safety in sensitive clinic-genomic data,” Taiwan AI Labs Founder Ethan Tu said in a statement.

↑ QCheck (Accumulate and Validate your omics data quality with trusted international guidelines): Developed by Taiwan AI Labs with graphic-interface, comprehensive quality item, and automatic reports for clinicians and pathologists. Assist with the omics data quality check and comply with LDTs regulations in Taiwan and international guidelines.

“We had set up the precision medicine center in 2018, which aims to accelerate the processing of adopting new technology into the clinical field,” Superintendent from SKH, Sheng-Mou Hou, said in a statement. “With the enhancement of the regulation, healthcare providers and examination laboratories must ensure high levels of data quality and rigorous validation in variant interpretation for the adoption of companion diagnostics.”

“As a gatekeeper in Shin-kong hospital, our mission is to assure testing quality from the clinical laboratories,” Director from Precision Medicine Center ar SKH, Hong-Jhih Lai, said. “We deployed troops in preparation for the regulation. We have already collected and confirmed more than 1,000 cases in the last three years and will keep optimizing the workflow with the TAIGenomics team.”

↑ Smart medical information system: Combined with the information management system and QCheck software, quality control is carried out for the genetic testing items of testing manufacturers. If it doesn’t meet the regulations,  the center will request the testing manufacturers to re-test. 

Errors will occur in all areas of laboratory testing. When it happens in genetic testing, it can prompt clinical decisions with a high risk since it’s not easy to be identified. As genetic testing has become the future of medicine, all stakeholders in precision medicine industries should think beyond the baseline standard and start working on a more high-quality validation system.

台灣人工智慧實驗室攜手新光醫院 實現病患個人化醫療

 癌症治療及遺傳疾病已經跨入精準醫療時代,為了提升台灣疾病檢測及臨床服務的品質,衛福部於110年2月9日發布了修正版特管辦法,因應醫療服務品質及醫療技術的發展,將實驗室開發檢測(Laboratory Developed Tests, LDTs)也納入其中。台灣人工智慧實驗室(Taiwan AI Labs)與新光醫院精準醫學中心透過臨床及技術的雙向合作,超前部署開發出精準醫學中心之「智慧醫療資訊系統」,針對多項實驗室開發檢測,特別是次世代定序檢測,進行自動化品管驗證,新光醫院成為台灣首家醫學中心將基因檢測品質導入第三方數據品質管理的概念,為病患的檢測服務優先把關。

台灣人工智慧實驗室創辦人杜奕瑾表示,以台灣強大的軟實力加上醫學中心寶貴的臨床經驗,結合資訊管理的創新能力及臨床實際的需求,我們走在特管法之前,即透過國際標準為原則,針對各家廠商開發出的檢測做第三方的把關,作為醫療品質和數據品質的守門員,讓患者能得到高品質且適當的服務,則是此系統的初衷,在累積這些高品質把關下的結果,未來實驗室將會繼續與新光醫院合作,透過AI技術來建立精準醫療的解決方案。

新光醫院院長侯勝茂坦言隨著醫療科技進步及環境變遷影響,許多公司加入診斷療法的研發,精準醫療與大數據的應用也愈來愈多元;新光醫院於2018年成立了精準醫學中心,就是希望能夠促進個人化醫療服務,而法規的修正則更增加了實驗室開發檢測的嚴謹度,讓品質優良的數據能提供更精準的判讀結果。具多年臨床經驗的精準醫學中心暨血液腫瘤科主任賴泓誌醫師指出,醫院在為病患選擇最佳療法,需以病患權益出發作考量,還要同時做好品質及臨床的控管,才能避免對檢測結果的錯誤解讀而影響病人的治療。過去這兩年以來,新光醫院使用此系統共檢查了一千多筆檢測報告的數據品質,同步儲存原始檢測資料,提前為LDTs法規檢核標準做準備。隨著醫院擴展檢測項目,以及檢體送檢的數量增加的情況下,此定序品質資訊系統確實提供了第三方的品管認證作為檢測數據品質好壞的判斷依據。

近年來個人化醫療意識逐漸增加,根據 Research and Markets 統計,2025年以前全球精準醫療市場規模將達到 1,126 億美金。因此現今的基因檢測已不限於癌症治療,針對新生兒、遺傳疾病、代謝疾病、個人健康與老化等,皆有多元的產品及服務推出,該如何選擇最佳的診斷及為個人基因數據的把關,則應透過智慧化的檢測品質資訊系統,協助解決臨床實際面臨的問題。未來精準醫療服務,要如何減輕病人身心負擔、節省醫療資源及持續創新產品,健全的法規、醫療、科技三者的結合是必然的趨勢。

Columbia University and Taiwan AI Labs sign MOU to accelerate AI application for sustainable development

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Taiwan AI Labs publishes “Islander 2020 Taiwan Annual News and Public Opinion Observation List”

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