Saudi SDAIA Signs MoU with NAVER LABS and NAVER CLOUD to Develop Arabic Large Language Model 

The MoU was formalized during the third Global AI Summit (GAIN) in Riyadh. (SPA)
The MoU was formalized during the third Global AI Summit (GAIN) in Riyadh. (SPA)
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Saudi SDAIA Signs MoU with NAVER LABS and NAVER CLOUD to Develop Arabic Large Language Model 

The MoU was formalized during the third Global AI Summit (GAIN) in Riyadh. (SPA)
The MoU was formalized during the third Global AI Summit (GAIN) in Riyadh. (SPA)

The Saudi Data and AI Authority (SDAIA) signed on Tuesday a MoU with NAVER LABS and NAVER CLOUD to design an advanced language model for Arabic and its applications.

The MoU was formalized during the third Global AI Summit (GAIN) in Riyadh. It was signed on behalf of SDAIA by National Information Center Director Dr. Esam Alwagait, while Dr. Sangok Seok and Dr. Yoon Kim represented NAVER CLOUD and Dr. Choi Soo-Yeon represented NAVER Corporation.

The signing was hosted by SDAIA President Dr. Abdullah Al-Ghamdi and South Korea’s Ambassador to Saudi Arabia Choi-Byung- Huyk.

The partnership aims to employ the latest technical developments related to developing an Arabic language model to provide data-center solutions and services, in addition to participating in the cloud platform for digital transformation solutions.

Through a set of applications that use AI algorithms, SDAIA is focusing on boosting the position of the Arabic language in the field of AI.

The authority, in cooperation with the King Salman Global Academy for the Arabic Language, recently prepared a dictionary of data and AI to collect the most important technical terms and provide brief and simplified definitions in both Arabic and English.

SDAIA also prepared the "Your Voice" application, which enables the conversion of speech into text via a voice recognition feature in classical Arabic and local dialects, which can be used to record minutes of meetings and build interactive audio systems.

During the second Global AI Summit held in 2022, SDAIA launched the "ALLaM" application to serve the Arabic language and improve language models using the application in various fields, including: developing a model capable of writing and understanding Arabic poetry, developing an AI model capable of accurately parsing Arabic sentences, and developing a model that helps children learn the Arabic language in a fun and effective way.



Tens of Thousands of Artifacts Looted from Sudan Museum

Members of the Rapid Support Forces in the Sudanese capital, Khartoum (Reuters file)
Members of the Rapid Support Forces in the Sudanese capital, Khartoum (Reuters file)
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Tens of Thousands of Artifacts Looted from Sudan Museum

Members of the Rapid Support Forces in the Sudanese capital, Khartoum (Reuters file)
Members of the Rapid Support Forces in the Sudanese capital, Khartoum (Reuters file)

Tens of thousands of artifacts have been looted from a Sudanese museum regarded as one of the most important in Africa, Britain’s The Guardian newspaper reported on Tuesday.

The museum is located in an area controlled by the RSF, the paramilitary group battling the regular army in Sudan’s war.

An official at the National Museum in Khartoum said satellite images taken last year showed trucks loaded with artifacts leaving the museum and heading for Sudan’s borders, including that with South Sudan.

Earlier this month, Sudan’s national broadcaster reported that the museum had been targeted by “a large-scale looting and smuggling operation.”

The National Museum is regarded by experts as one of the most important such institutions in Africa. Its collection of more than 100,000 items includes embalmed mummies dating from 2,500BC, making them among the oldest and most archaeologically significant in the world.

In June last year, a video clip circulated on social media appeared to show fighters from the RSF entering the bioarcheology lab of the National Museum and opening storage containers containing mummies and other remains.

The same official told The Guardian that attempts were being made to talk to regional governments about returning the works.