Huawei Launches New Software Brand for Intelligent Driving

FILE PHOTO: The logo of the Huawei Technologies Co. Ltd. is seen outside its headquarters in Shenzhen, Guangdong province, April 17, 2012. REUTERS/Tyrone Siu/File Photo
FILE PHOTO: The logo of the Huawei Technologies Co. Ltd. is seen outside its headquarters in Shenzhen, Guangdong province, April 17, 2012. REUTERS/Tyrone Siu/File Photo
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Huawei Launches New Software Brand for Intelligent Driving

FILE PHOTO: The logo of the Huawei Technologies Co. Ltd. is seen outside its headquarters in Shenzhen, Guangdong province, April 17, 2012. REUTERS/Tyrone Siu/File Photo
FILE PHOTO: The logo of the Huawei Technologies Co. Ltd. is seen outside its headquarters in Shenzhen, Guangdong province, April 17, 2012. REUTERS/Tyrone Siu/File Photo

Chinese tech company Huawei unveiled on Wednesday a new software brand for intelligent driving, marking its latest push to become a major player in the electric vehicle industry.
The new brand Qiankun, symbolizing a combination of heaven and the Kunlun Mountains, plans to provide self-driving systems involving the driving chassis, audio and driver's seat, Jin Yuzhi, CEO of Huawei's Intelligent Automotive Solution (IAS) business unit, said during an event ahead of the Beijing auto show.
"2024 will be the first year for mass commercialization of smart driving and the cumulative number of cars on road equipped with the Huawei self-driving system will top 500,000 by the year-end," Reuters quoted Jin as saying.
He also expected within a year more than 10 car models adopting Huawei’s Qiankun system would hit the market.
The Shenzhen-based tech conglomerate launched its smart car unit in 2019 with the aim that it could become the equivalent of German automotive supplier Bosch of the intelligent EV era and supply software and components to partners.
Huawei said in November that the unit would be spun off into a new company which would receive the unit's core technologies and resources and take investment from partners such as automaker Changan Auto.
It has also unveiled seven EV models in partnership with Chinese automakers so far and they are selling well, Jin said.
They include three Aito brand models under partnership with Seres, the Luxeed S7 sedan co-developed with Chery , two models with Changan Auto-backed Avatr and one with Beijing Automotive Group (BAIC)-owned Arcfox.
On Tuesday, Huawei also unveiled the S9 sedan, the first model under the premium Stelato brand it launched with BAIC.
Its diversification into EVs comes amid an intensifying price war in the world's largest auto market, which is grappling with slowing sales momentum and deepening overcapacity concerns as more than 40 brands vie for consumer attention.
Earlier this month, Huawei-backed Aito offered discounts of up to 20,000 yuan ($2,760) on its new M7 SUVs until the end of April.



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.