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China's Geely to Launch Hybrids with More Fuel-efficient Engines

FILE PHOTO: The Geely logo is seen at a car dealership in Shanghai, China August 17, 2021. REUTERS/Aly Song/File Photo
FILE PHOTO: The Geely logo is seen at a car dealership in Shanghai, China August 17, 2021. REUTERS/Aly Song/File Photo
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China's Geely to Launch Hybrids with More Fuel-efficient Engines

FILE PHOTO: The Geely logo is seen at a car dealership in Shanghai, China August 17, 2021. REUTERS/Aly Song/File Photo
FILE PHOTO: The Geely logo is seen at a car dealership in Shanghai, China August 17, 2021. REUTERS/Aly Song/File Photo

China's Geely Holding Group on Wednesday said it would launch a series of hybrid models in the first half of next year equipped with its next-generation, more fuel-efficient engine.
Geely's engine achieves a thermal efficiency of up to 46.1%, according to a product certificate issued by the government-owned CATARC Huacheng Certification Co.
Geely said this was among the highest in the world, and would reduce fuel consumption and extend driving range, Reuters said.
The new models will be launched for Geely Auto's Galaxy series and its Lynk & Co brand.
Plug-in hybrids are the fastest growing fuel-type sector in China thanks to their affordability, and competition in the sector is intensifying.
BYD on Tuesday launched two hybrid sedans equipped with its new hybrid tech, priced from 99,800 yuan ($13,800).
BYD said the new hybrid tech enables fuel consumption on depleted batteries of 2.9 liters per 100 km under New European Driving Cycle tests, with a thermal efficiency of 46.06%.

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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.