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.



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.