Samsung Reports Decline in Profit but Anticipates Business Improvement Driven by Chips 

A visitor looks at Samsung Electronics Co.'s new Galaxy S24 series smartphones at a Samsung showroom in Seoul, South Korea, 31 January 2024. (EPA)
A visitor looks at Samsung Electronics Co.'s new Galaxy S24 series smartphones at a Samsung showroom in Seoul, South Korea, 31 January 2024. (EPA)
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Samsung Reports Decline in Profit but Anticipates Business Improvement Driven by Chips 

A visitor looks at Samsung Electronics Co.'s new Galaxy S24 series smartphones at a Samsung showroom in Seoul, South Korea, 31 January 2024. (EPA)
A visitor looks at Samsung Electronics Co.'s new Galaxy S24 series smartphones at a Samsung showroom in Seoul, South Korea, 31 January 2024. (EPA)

Samsung Electronics on Wednesday reported an annual 34% decline in operating profit for the last quarter as sluggish demands for its TVs and other consumer electronics products offset hard-won gains from a slowly recovering computer chip market.

The South Korean technology giant said it expects its business to improve throughout 2024, forecasting larger demands for semiconductors that power artificial intelligence features increasingly used in smartphones, personal computers and other products. However, macroeconomic uncertainties could continue to affect its business in the near-term.

Samsung’s operating profit was measured at 2.8 trillion won ($2.1 billion) for the three months through December, compared to 4.3 trillion ($3.2 billion) from the same period last year. Its operating profit for the full year 2023 was at 6.5 trillion won ($4.8 billion), which marked an 85% decline from 2022 and represented the company’s lowest since 2008, when global markets were weathering a financial crisis.

While the company’s semiconductor division posted a loss of 14.9 trillion won ($11 billion) in 2023, the losses narrowed during the fourth quarter, with the DRAM business returning to profit. The company said in October that it plans to more than double its production capacity of advanced high-bandwidth memory chips in 2024 to respond to demands created by AI.

“In 2024, the memory business expects the market to continue to recover despite various potential obstacles, including interest rate policies and geopolitical issues,” Samsung said in a statement.

The company is also focused on boosting its sales of its latest smartphone, the Galaxy S24, which is built with an array of new features enabled by AI, including live translation during phone calls in 13 languages and 17 dialects.



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.