According to the Wall Street Journal, the fierce competition among tech giants for artificial intelligence talent is forcing the secretive Apple to increase its transparency and attract more transparent academics.

This year, the tech giant has been trying to draw attention to its efforts to develop artificial intelligence.

Apple, for example, launched a public blog in July to talk about its A.I. research and allowed its researchers to speak at several A.I. conferences, including a TED talk in April by Tom Gruber, one of the creators of Apple’s Siri voice assistant. A video of the speech was posted on YouTube last month.

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Apple is famously secretive, with CEO Tim Cook once joking that apple is more secretive than the CIA. So for the company, the moves to increase its transparency are unusual.

The company’s change of heart is largely due to the growing importance of AI in areas such as driverless cars and voice assistants such as Siri. Rivals including Google, Microsoft and Facebook have been scrambling to recruit talent in the field in recent years, largely by recruiting doctoral students and professors from university computer science programs.

Academics say they want to join companies, but they also want to regularly publish, present and discuss their research.

“We come from a community of people who share ideas with each other and are encouraged to do so, and we would not be happy to give that up.” Noah Goodman, a computer science professor at Stanford university. He now works in the research department of the ride-hailing giant Uber, where he can enjoy those privileges.

Many big tech companies have embraced the relative transparency of academia. In recent years, they have aggressively recruited top researchers like Yann LeCun of New York University (who joined Facebook in 2013) and Geoffrey Hinton of the University of Toronto (who joined Google in 2013). The companies have also collectively published hundreds of research papers over the years.

Apple is slow to follow

A comparison of the number of ai-related papers published by Microsoft, Google, Facebook and Apple in the past two years

AI analysts and top researchers say Apple has been slow to follow suit. Since its public announcement of greater transparency, the company has published a paltry number of research papers compared with its competitors, and its scientists have shied away from Apple-related work at industry conferences.

So far, the company has published portions of four peer-reviewed research papers on its blog, the Apple Machine Learning Log. The three posts this year were attributed to the Siri team and did not list the names of individual researchers as is common in academic papers.

In March, at a conference in San Francisco on AI applications for driverless cars, Charlie Tang, an Apple research scientist, gave a demonstration of the robots — but the photos he showed were from Google. He didn’t mention apple’s work specifically at all.

“We wanted to open up communication with the A.I. community,” Tang said in an interview later.

Competition concerns

Jack Clark, the director of strategy at OpenAI, a nonprofit artificial intelligence research group, noted that most of Apple’s revenue comes from products like the iPhone and iPad, which are kept under tight secrecy until they are introduced to protect innovations, “It’s not easy to overcome that culture.” He added that apple’s launch of a blog is a positive step.

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