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New Electronic System to Limit Car Accidents

An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
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New Electronic System to Limit Car Accidents

An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO
An investigator takes photos of a crash scene along Commonwealth Avenue involving a fire truck and a car Monday in Boston's Back Bay neighborhood. AP PHOTO

LG, for home appliances and TVs, has come up with a new driver-assistance system to mitigate or prevent car crashes.

The CNET.com website pointed out that the advent of new technology in cars, from 4G-connected navigation to driver assist systems, is opening up new opportunities beyond traditional automotive equipment suppliers. While the LG brand has appeared on a wide array of consumer electronics, the Korean company is now branching into automotive with new innovations.

LG, along with partners NXP, a chipmaker, and Hella, an automotive camera specialist, came up with a new automotive vision platform designed to detect objects and hazards in the driving environment, potentially preventing collisions.

This new automotive vision platform relies on a camera mounted behind the windshield, near the rear view mirror. With its processor, it can identify cyclists and pedestrians and automatically hit the brakes.

The system can also read road signs, alerting drivers to stop signs and speed limits, and see lane lines, warning of vehicle drift.

Late in 2017, NXP and Hella announced what the companies called an "open vision platform for autonomous safe driving," with Hella supplying cameras and NXP supplying chips that could process the imagery. The addition of LG adds further image processing expertise.

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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.