Samsung, Qualcomm Flag Concerns with India’s Push for Live TV on Phones 

Samsung signage is seen in a store in Manhattan, New York City, US, Nov. 22, 2021. (Reuters)
Samsung signage is seen in a store in Manhattan, New York City, US, Nov. 22, 2021. (Reuters)
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Samsung, Qualcomm Flag Concerns with India’s Push for Live TV on Phones 

Samsung signage is seen in a store in Manhattan, New York City, US, Nov. 22, 2021. (Reuters)
Samsung signage is seen in a store in Manhattan, New York City, US, Nov. 22, 2021. (Reuters)

Samsung and Qualcomm are among those opposing India's choice of technology to bring live TV broadcasts on smartphones, arguing the required hardware changes will push up a device's cost by $30, according to letters reviewed by Reuters.

India is considering a policy to mandate equipping smartphones with hardware to receive live TV signals without the need for cellular networks. It has proposed use of so-called ATSC 3.0 technology popular in North America that allows precise geo-locating of TV signals and provides high picture quality.

Companies however say their existing smartphones in India are not equipped to work with ATSC 3.0, and any efforts to add that compatibility will raise cost of each device by $30 as more components need to be added. Some fear their existing manufacturing plans can be hurt.

In a joint letter to India's communication ministry, Samsung, Qualcomm, and telecom gear makers Ericsson and Nokia said adding direct-to-mobile broadcasting can also degrade battery performance of devices and cellular reception.

"We do not find any merit in progressing discussion on the adoption of this," said the letter dated Oct. 17 and reviewed by Reuters.

The four companies and India's communication ministry did not respond to requests for comment. The proposal is still under deliberation and could be changed, and there is no fixed timeline for implementation, according to a source with direct knowledge.

Digital broadcast of TV channels on smartphones has seen limited adoption in countries such as South Korea and United States. It has not gained traction due to the lack of devices that support the technology, executives say.

The policy pushback is the latest from firms operating in India's smartphone sector. In recent months, they pushed back on India's move to make phones compatible with a home-grown navigation system and another proposal to mandate security testing for handsets.

For India's government, the live TV broadcast features are a way to offload the congestion on telecom networks due to higher video consumption.

The India Cellular and Electronics Association (ICEA), a lobbying group of smartphone makers that represents Apple and Xiaomi as well as other companies, opposed the move privately in a letter dated Oct 16, saying no major handset maker globally currently supports ATSC 3.0.

Samsung tops India's smartphone market with a 17.2% share, while Xiaomi follows with a 16.6% share, according to research firm Counterpoint. Apple holds 6%.

"The inclusion of any technology which is not proven and globally acceptable ... will derail the pace of domestic manufacturing," said the ICEA letter, reviewed by Reuters.



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.