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SDAIA, KAUST to Organize World AI Youth Competition in Jeddah

The Saudi Data and AI Authority (SDAIA) logo
The Saudi Data and AI Authority (SDAIA) logo
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SDAIA, KAUST to Organize World AI Youth Competition in Jeddah

The Saudi Data and AI Authority (SDAIA) logo
The Saudi Data and AI Authority (SDAIA) logo

The Saudi Data and AI Authority (SDAIA) and the King Abdullah University of Science and Technology (KAUST) will organize the World Artificial Intelligence Competition for Youth (WAICY) in Thuwal, Jeddah, on December 2-3.

The competition will be held simultaneously in 39 countries, with the participation of over 18,000 students from public schools, including the Kingdom.

The competition is taking place for the second consecutive year, featuring over 6,000 project submissions from participating students for remote and in-person discussions.

WAICY is one of the largest international competitions focusing on artificial intelligence (AI), generating interest from countries around the world. SDAIA has taken the lead in adopting this competition to equip the future generation with the skills to learn and apply AI technology for solving real-world problems.

The competition will be conducted through an integrated approach, where students will present their projects online, accompanied by explanatory videos. Selected projects will be assigned specific times and dates for presentation during the competition. The competition encompasses three tracks: AI Showcase, AI Generated Art, and AI LLM.

This competition contributes to achieving the highest levels of human development in the Kingdom by fostering human capital and sustainably enhancing the capabilities of both male and female youth in the field of modern technology.

Furthermore, the competition will prepare the youth in Saudi Arabia for success in advanced technological fields, positioning the Kingdom as a global hub for cutting-edge technologies and AI-related advancements.

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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.