Samsung Elec Expects $100 Mln or More Sales from Advanced Chip Packaging Business 

A flag bearing the logo of Samsung flutters in front of its office building in Seoul, South Korea, October 25, 2020. (Reuters)
A flag bearing the logo of Samsung flutters in front of its office building in Seoul, South Korea, October 25, 2020. (Reuters)
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Samsung Elec Expects $100 Mln or More Sales from Advanced Chip Packaging Business 

A flag bearing the logo of Samsung flutters in front of its office building in Seoul, South Korea, October 25, 2020. (Reuters)
A flag bearing the logo of Samsung flutters in front of its office building in Seoul, South Korea, October 25, 2020. (Reuters)

Samsung Electronics expects $100 million or more of revenue from its next batch of advanced chip-packaging products this year, co-CEO Kye-Hyun Kyung said on Wednesday.

Samsung set up advanced chip packaging as a business unit last year, and Kyung said he expects the results of Samsung's investment to come out in earnest from the second half of this year.

Kyung's remarks were made during Samsung's annual general shareholders' meeting.

Samsung's memory chip business seeks to achieve a greater profit share than its market share this year, Kyung said.

Samsung's market share in DRAM chips, used in tech devices, reached 45.5% in the fourth quarter last year, according to data provider TrendForce.

To do this, Samsung seeks to secure a competitive advantage in high-end memory chips required by booming artificial intelligence demand, including mass producing a 12-stack version of high-bandwidth memory (HBM) chips called HBM3E.

For a future generation of HBM chips called HBM4, likely to be released in 2025 with more customized designs, Samsung will take advantage of having memory chips, chip contract manufacturing and chip design businesses under one roof to satisfy customer needs, Kyung said.

Answering a shareholder question on Samsung's recent setback in the current HBM market compared to rival SK Hynix , Kyung said: "We're better prepared to prevent that from happening again in the future."

Samsung Electronics shares rose as much as 6.04% on Wednesday, and are set for their highest one-day jump since early September after Nvidia CEO Jensen Huang said the AI semiconductor leader is qualifying Samsung's HBM chips for use.

Samsung expects tangible results soon from other memory products being developed for use in AI, including compute express link (CXL) and processing-in-memory (PIM) products, Kyung added.



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.