Baidu Partners with Lenovo in 3rd China AI Smartphone Deal

The Baidu logo is seen outside the company headquarters in Beijing on February 2, 2024. (Photo by Jade GAO / AFP)
The Baidu logo is seen outside the company headquarters in Beijing on February 2, 2024. (Photo by Jade GAO / AFP)
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Baidu Partners with Lenovo in 3rd China AI Smartphone Deal

The Baidu logo is seen outside the company headquarters in Beijing on February 2, 2024. (Photo by Jade GAO / AFP)
The Baidu logo is seen outside the company headquarters in Beijing on February 2, 2024. (Photo by Jade GAO / AFP)

China's Baidu has partnered with Lenovo to feature its generative artificial intelligence (AI) technology on Lenovo's smartphones, in the latest team up with a phone manufacturer as it seeks practical applications for its AI model.
A spokesperson for Beijing-based Baidu told Reuters this week that the partnership involves Lenovo using its Ernie large language model (LLM) and is similar to collaborations with Samsung and Honor announced last month.
Lenovo sells its own branded phones and also owns the phone brand Motorola. Ernie is already embedded in the browser and app store apps of Lenovo's personal computers and tablets.
Lenovo did not respond to a request for comment.
Selling smartphones that offer generative AI features for services such as chatbots and real-time translation have become a new global trend after the technology became popularized in late 2022 with the launch of ChatGPT.
Google is seen to be a leader in AI smartphones with its Pixel phones and robust cloud-based AI while Apple has been reported to be working to bring generative AI models to the iPhone.
Research firm Canalys expects that 5% of smartphones shipped globally in 2024, or 60 million devices, will be AI-capable smartphones.
But AI services powered by US firms like ChatGPT maker OpenAI and Google are unavailable in China, leaving the market to Chinese firms. The Chinese market has now over 200 AI models on offer, including from Baidu's chief rivals Alibaba and Tencent.
Baidu CEO Robin Li said last November that firms now needed to focus on developing practical applications. China's top phone brands including Vivo, Xiaomi and Huawei are also working on their own on-device AI models but have not disclosed details.
Such smartphone collaborations could not only help Baidu in this arena, but having its AI features deeply bundled with smartphones could also give the company exposure to a vast amount of data which could help Baidu's LLM catch up to rival AI companies in the US.
"Adapting LLM on smartphones is the right moment to promote AI-powered features, although they may be limited now. In the long run, they may become a 'must-have'," said Ivan Lam, an analyst at research firm Counterpoint.



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.