Samsung Electronics to Invest $230 Bln Through 2042 in South Korea Chipmaking Base

A Samsung sign is displayed, during the GSMA's 2023 Mobile World Congress (MWC) in Barcelona, Spain March 1, 2023. (Reuters)
A Samsung sign is displayed, during the GSMA's 2023 Mobile World Congress (MWC) in Barcelona, Spain March 1, 2023. (Reuters)
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Samsung Electronics to Invest $230 Bln Through 2042 in South Korea Chipmaking Base

A Samsung sign is displayed, during the GSMA's 2023 Mobile World Congress (MWC) in Barcelona, Spain March 1, 2023. (Reuters)
A Samsung sign is displayed, during the GSMA's 2023 Mobile World Congress (MWC) in Barcelona, Spain March 1, 2023. (Reuters)

South Korean tech giant Samsung Electronics expects to invest $230 billion over the next 20 years to develop what the country's government called the world's largest chip-making base, in line with efforts to boost the national chip industry.

Samsung's around 300 trillion won project is part of a 550 trillion won private-sector investment plan unveiled by the government on Wednesday. Seoul's strategy aims to expand tax breaks and support to raise competitiveness of high-tech sectors including those involving chips, displays and batteries.

The plans come as other countries introduce steps to bolster domestic chip industries, including the United States which last month released details of its CHIPS Act, offering billions of dollars in subsidies for chipmakers that invest in the country.

"The economic battlefield, which recently began with chips, has expanded ... countries are providing large-scale subsidies and tax support," said President Yoon Suk Yeol on Wednesday.

"(We) must support private investments to ensure further growth ... the government must provide location, R&D, manpower, and tax support."

Samsung's manufacturing additions will include five chip factories and attract up to 150 materials, parts and equipment makers, fabless chipmakers and semiconductor research-and-development organizations near Seoul, the industry ministry said in a statement.

In addition to private-sector investment, the government will budget 25 trillion won or more over five years for R&D in strategic technologies such as artificial intelligence. It will provide about 360 billion won to develop chip packaging, and about 100 billion won in electricity and water infrastructure this year for industrial complexes.

In January, the government proposed raising the tax deduction rate for facility investments in chips and other strategic technologies from 8% to 15% for large corporations.

Separately, Samsung Electronics, unit Samsung Display, affiliates Samsung SDI and Samsung Electro-Mechanics said they plan to invest 60.1 trillion won in the next 10 years in regions outside the Seoul metropolitan area to develop chip packaging, displays and battery technology.

South Korea, home to the world's two biggest memory chip makers, Samsung Electronics and SK Hynix Inc, is seeking to improve supply-chain stability to become a major player in the non-memory chip field, currently dominated by chipmakers such as Taiwan Semiconductor Manufacturing Co Ltd and Intel Corp.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.