Universitas Gadjah Mada (UGM) conducted Workshop 1 of the AI Talent Factory (AITF) Program organized by the Kementerian Komunikasi dan Digital Republik Indonesia through its Human Resources Development Agency for Communication and Digital.
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Public Lecture by NVIDIA and Indosat Ooredoo Hutchison at Universitas Gadjah Mada: Driving AI Transformation from Campus to Industry
Yogyakarta, February 11, 2026 – As part of the Technical Meeting & Tech Sharing Session between Universitas Gadjah Mada, Indosat Ooredoo Hutchison, and NVIDIA, a public lecture was held featuring global AI industry experts.
This lecture served as a platform to share strategic insights on developing the national AI ecosystem, leveraging GPU computing infrastructure, and fostering Academic-to-Industry (A2I) collaboration models to accelerate the downstreaming of university research into real-world industrial applications.
In its presentation, NVIDIA highlighted the importance of integrating the AI stack—from edge computing (Jetson), GPU-based model training, optimization using TensorRT, to deployment orchestration through Metropolis—as the foundation for building scalable and production-ready AI solutions.
Meanwhile, Indosat Ooredoo Hutchison emphasized the role of 4G/5G connectivity and sovereign cloud infrastructure in enabling AI implementation across various sectors, including precision agriculture, AI-driven healthcare, and disaster mitigation.
The event was attended by lecturers, researchers, students, and industry partners, and continued with interactive discussion sessions as well as laboratory visits to showcase AI research implementations within Universitas Gadjah Mada.
Through this public lecture, Universitas Gadjah Mada reaffirmed its commitment as an AI Center of Excellence in developing top-tier talent, strengthening research aligned with national needs, and accelerating the adoption of sovereign and impactful AI technologies for society.
Universitas Gadjah Mada, Indosat Ooredoo Hutchison, and NVIDIA Strengthen AI Collaboration through Technical Meeting
Yogyakarta, February 10, 2026 – Universitas Gadjah Mada (UGM), in collaboration with Indosat Ooredoo Hutchison (IOH) and NVIDIA, held a Technical Meeting & Tech Sharing Session on February 9–10, 2026, as a follow-up to the initiative of establishing an AI Center (Joint Center) in Indonesia.
A total of 663 participants took the exam between May and September, with a steadily increasing pass rate across different regions in Indonesia.
The evaluation of learning outcomes conducted from May to September showed a significant increase in both the number of participants and the pass rate.
Universitas Gadjah Mada Partners with PT Telkom Indonesia (Persero) Tbk to Develop an AI Center of Excellence
Following the launch of its Artificial Intelligence Center of Excellence (AI CoE), PT Telkom Indonesia (Persero) Tbk is accelerating efforts to strengthen Indonesia’s national AI ecosystem by partnering with Universitas Gadjah Mada.
Yogyakarta – Universitas Gadjah Mada (UGM) and PT Telkom Indonesia (Persero) Tbk are exploring the strengthening of strategic collaboration in the development of the artificial intelligence (AI) ecosystem and digital transformation.
Yogyakarta – Dr. Ir. Radi, S.T.P., M.Eng., IPU, ASEAN Eng,
a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully designed a rapid detection tool for assessing the physical quality of dry cocoa beans.
Universitas Gadjah Mada Develops Automated Oil Palm Tree Counting System Using Deep Learning
Development of an Automated Oil Palm Tree Counting System Based on Remote Sensing Using Deep Learning
Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology, has successfully developed an automated system for counting oil palm trees.
Universitas Gadjah Mada Leverages Big Data and AI for More Accurate Oil Palm Production Prediction
Utilizing Big Data in Oil Palm Plantations for Production Prediction Using Deep Neural Network Models
Yogyakarta – An innovative study led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully utilized Big Data technology and Deep Neural Network (DNN) models to predict oil palm production.
Universitas Gadjah Mada Develops KESAN: AI for Agroindustrial Product Innovation Based on Consumer Preferences
Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Mirwan Ushada, S.T.P., M.App.Life Sc., from the Department of Agricultural Technology, is developing the Kansei Engineering-based System for Agroindustry (KESAN).