[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

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.

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.