Apple Loses Top Phonemaker Spot to Samsung as iPhone Shipments Drop, IDC Says 

A worker waters a flower bed next to the logo of Samsung Electronics during a media tour at Samsung Electronics' headquarters in Suwon, South Korea, June 13, 2023. (Reuters)
A worker waters a flower bed next to the logo of Samsung Electronics during a media tour at Samsung Electronics' headquarters in Suwon, South Korea, June 13, 2023. (Reuters)
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Apple Loses Top Phonemaker Spot to Samsung as iPhone Shipments Drop, IDC Says 

A worker waters a flower bed next to the logo of Samsung Electronics during a media tour at Samsung Electronics' headquarters in Suwon, South Korea, June 13, 2023. (Reuters)
A worker waters a flower bed next to the logo of Samsung Electronics during a media tour at Samsung Electronics' headquarters in Suwon, South Korea, June 13, 2023. (Reuters)

Apple's smartphone shipments dropped about 10% in the first quarter of 2024, hurt by intensifying competition by Android smartphone makers aiming for the top spot, data from research firm IDC showed on Sunday.

Global smartphone shipments increased 7.8% to 289.4 million units during January-March, with Samsung, at 20.8% market share, clinching the top phonemaker spot from Apple.

The iPhone-maker's steep sales decline comes after its strong performance in the December quarter when it overtook Samsung as the world's No.1 phone maker. It's back to the second spot, with 17.3% market share, as Chinese brands such as Huawei gain market share.

Xiaomi, one of China's top smartphone makers, occupied the third position with a market share of 14.1% during the first quarter.

South Korea's Samsung, which launched its latest flagship smartphone lineup - Galaxy S24 series - in the beginning of the year, shipped more than 60 million phones during the period.

Global sales of Galaxy S24 smartphones jumped 8%, compared to last year's Galaxy S23 series during their first three weeks of availability, data provider Counterpoint previously said.

In the first quarter, Apple shipped 50.1 million iPhones, down from 55.4 million units it shipped same period last year, according to IDC.

Apple's smartphone shipments in China shrank 2.1% in the final quarter of 2023 from a year earlier.

The drop underscores the challenges facing the US firm in its third biggest market, as some Chinese companies and government agencies limit employees' use of Apple devices, a measure that mirrors US government restrictions on Chinese apps on security grounds.

The Cupertino, California-based company in June will hold its Worldwide Developers Conference (WWDC), where it will highlight updates to the software powering iPhones, iPads, and other Apple devices.

Investors are closely watching for updates on artificial intelligence development at Apple, which has so far spoken little about incorporating the AI technology into its devices. The company earlier this year lost the crown as the world's most valuable company to Microsoft.



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.