Baidu Sues Apple, App Developers over Fake Ernie Bot Apps

Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021. REUTERS/Florence Lo/File Photo
Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021. REUTERS/Florence Lo/File Photo
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Baidu Sues Apple, App Developers over Fake Ernie Bot Apps

Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021. REUTERS/Florence Lo/File Photo
Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021. REUTERS/Florence Lo/File Photo

Chinese search engine giant Baidu has filed lawsuits against "relevant" app developers and Apple Inc over fake copies of its Ernie bot app available on Apple's app store.

The company's artificial intelligence powered Ernie bot, launched last month, has been touted as China's closest answer to the US-developed chatbot ChatGPT.

Baidu said it had lodged lawsuits in Beijing Haidian People's Court against the developers behind the counterfeit applications of its Ernie bot and the Apple company, Reuters reported.

"At present, Ernie does not have any official app," Baidu said in a statement late on Friday posted on its official "Baidu AI" WeChat account.

It also posted a photograph of its court filing.

"Until our company's official announcement, any Ernie app you see from App Store or other stores are fake," it said.

Apple did not immediately respond to a request for comment.

A Reuters search on Saturday found there were still at least four apps bearing the Chinese-language name of the Ernie bot, all fake, in Apple's App Store.

The Ernie bot is only available to users who apply for and receive access codes. In its statement, Baidu also warned against people selling access codes.



KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
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KACST Manufactures 25 Advanced Electronic Chips by Saudi Talents

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)
The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. (SPA)

Saudi Arabia’s King Abdulaziz City for Science and Technology (KACST) announced on Thursday its successful design and fabrication of 25 advanced electronic chips, developed by Saudi talents in its cleanroom laboratories for purposes of training, research, and development.

The achievement is part of KACST’s ongoing efforts to support and enable the semiconductor ecosystem in the Kingdom.

These chips are distinguished by their versatility and can be used in a range of applications, including electronics, wireless and high-frequency communications, integrated circuits, energy-efficient lighting, micro-sensor systems, as well as industrial and research applications in measurement and testing.

The chip design process involved researchers from the National Laboratory, alongside students from four Saudi universities. This effort was conducted under the initiatives of the Saudi Semiconductors Program (SSP), which aims to build national expertise in this critical field.

The chips can be used in a range of applications. (SPA)

This milestone is part of a series of strategic initiatives led by KACST to support the semiconductor sector in the Kingdom, including the Saudi Semiconductors Program to boost research and development and qualify human talent and the "Ignition" semiconductor incubator program to support startups and entrepreneurs.

Through these initiatives, KACST underscored its commitment to the ambitious goals of Saudi Vision 2030 by localizing strategic technologies, empowering national talent, and achieving technological self-sufficiency in advanced domains.