Lee Li-kuo, COO of Taizhi Cloud, delivered a speech at the "AIHPCcon Taiwan AI Supercomputing Conference" on the theme of "AI Factory Accelerator Program Helps Startups Navigate AI 2.0"..
Taizhi Cloud is building an open AI Factory accelerator ecosystem to accelerate the development of trustworthy AI applications in the industry. Since its establishment, Taizhi Cloud has continued to cultivate the development of the AI ecosystem. Since 2021, it has cooperated with the Artificial Intelligence Foundation (AIF) and AppWork to jointly release the Taiwan's AI Ecosystem Map every six months, regularly reviewing the development energy of the AI ecosystem and helping AI startups find their position and niche in the AI ecosystem.
Taizhiyun's AIHPC supercomputer is Taiwan's largest industrial AI model R&D and service platform, boasting high performance, low barriers to entry, and low carbon emissions. Through its generative AI Foundry Service (AFS) platform, it acts as the only AI 2.0 technology accelerator in Taiwan's ecosystem, enabling the Taiwanese technology industry to rapidly develop a complete industry chain, including AI Design Service Companies and AI Design House Companies, using it as the core of its AI engine. Taizhiyun's AI Factory accelerator program aims to provide startups with comprehensive business development, AI cloud platform resources and services, professional technical support, and venture capital matching, helping AI startups accelerate validation and business expansion. To date, it has accumulated 60 AI startup members and 17 AI industry application solutions.
Lee Li-kuo, COO of Taizhiyun, stated that in 2023, under the premise of supporting policies for the digital development of the AI industry, Taizhiyun and its parent company, ASUS Group, jointly upgraded their existing partnership program into the "AI Factory Accelerator." With guidance from the Small and Medium Enterprise Administration of the Ministry of Economic Affairs, the program further integrates abundant resources from all parties, focusing on startups in the fields of AI, 5G, and biotechnology, providing them with more opportunities and rapid validation of AI applications. In the future, the program will leverage supercomputing power to provide technical support to startups, assist in the industrialization of more generative AI 2.0 applications, and accelerate the growth of startups.
Xu Shaozhong, CEO of AI 2.0 partner Jeteng Intelligence, pointed out that when assisting enterprises in building common models for industrial process data analysis, they use natural language to create interactive interfaces that are easy for engineers to use. These models automatically generate user interfaces and provide comprehensive analysis services, meeting the needs of enterprises for process optimization. Taizhi Cloud's enterprise-specific AFS service and Formosa large model solution provide enterprises with the best balance between performance and security.
AIPLUX founder Wu Pengjun pointed out that AIPLUX is committed to assisting enterprise users in innovating and developing their businesses, and strengthening their competitiveness in the commercial market. With the assistance of the Taizhiyun AI 2.0 platform service, it has launched the market-leading INPAS service. Enterprises can input relevant information in an easy-to-use interface, and the system will generate a trademark search report or a patent disclosure combined search report within minutes to meet the operational needs of enterprises.
Leveraging AI 2.0 for autonomous learning: Smart transportation services evolve further.
Benefiting from AI's ability to process and analyze big data generated from various smart facilities in real time, smart transportation, which has been developing for many years, can now create a variety of intelligent experiences and services. AI 2.0, which is based on generative AI, has the ability to learn in supervised manner from large amounts of unlabeled data, making it more flexible and versatile in different fields.
ASUS Mobility General Manager Chien-Chih Kuo stated that the biggest feature of AI 2.0 lies in its ability to identify and automatically label objects through deep learning technology. Therefore, when applied to roadside parking space billing, it can prevent neighboring vehicles or vehicles in the same lane from being misidentified as vehicles within the parking space, eliminating the need for manual re-labeling. Especially under extremely poor lighting conditions, even with incomplete license plate images, AI 2.0 deep learning can still confirm the vehicle's license plate number, eliminating the need for manual intervention. Taisun's AI 2.0 high-performance computing platform and local technical consulting services can quickly reduce the costs incurred by businesses in terms of time, technology, development risks, hardware equipment, and human resources, helping to showcase new applications of AI in smart transportation.
[Article excerpted from]DIGITIMES】