You are here: Home » International » News » Technology
Business Standard

Secretive Apple tries to open up on artificial intelligence

Tech giant launches a blog, participates in conferences as it seeks to draw attention to AI efforts

Tripp Mickle | WSJ 

artificial intelligence
The shift is driven by Artificial Intelligence's growing importance in areas like self-driving cars and voice assistants such as Siri | Photo: istock

The battle for artificial-intelligence expertise is forcing Inc. to grapple with its famous penchant for secrecy, as seek to woo talent in a discipline known for its openness.

The giant this year has been trying to draw attention-but only so much-to its efforts to develop artificial intelligence, or AI, a term that generally describes software that enables computers to learn and improve functions on their own.

launched a public blog in July to talk about its work, for example, and has allowed its researchers to speak at several conferences on artificial intelligence, including a in April by Tom Gruber, co-creator of Apple’s Siri voice assistant, that was posted on YouTube last month.

Talking up transparency is unusual for a company whose chief executive, Tim Cook, once joked that it is more secretive than the Central Intelligence Agency.

The shift is driven by AI’s growing importance in areas like self-driving cars and voice assistants such as Siri. Rivals including Inc., Corp. and Inc. have been racing for years to gather talent in the field-largely by recruiting Ph.D. students and professors from university computer-programs.

Those academics say they want to join companies but still publish regularly, present research and discuss their work.

“We come from a community where we share ideas and get credit for it and a lot of us would be very unhappy to give that up,” said Noah Goodman, a Stanford University professor of He works with a research division of Uber Technologies Inc. where he enjoys those perks.

Indeed many big have embraced academia’s relative transparency. They have aggressively recruited top researchers over the years such as Yann LeCun of New York University, who joined in 2013, and Geoffrey Hinton of the University of Toronto, who joined Alphabet’s unit in 2013. The companies together also have churned out hundreds of research papers over the past several years.

was slow to follow, AI analysts and leading researchers say. And even since its public embrace of greater transparency, it has published a fraction of its competitors’ research, and its scientists have avoided speaking about Apple-related research at conferences.

To date, the company has published portions of four peer-reviewed research papers on its blog, the Machine Learning Journal. The three posts published this year are attributed to the Siri team and don’t name any individual researchers the way academic papers commonly do.

At a San Francisco conference in March on using AI in autonomous vehicles, research scientist Charlie Tang gave a presentation on robotics-but the photo he showed was from He didn’t specifically mention any of Apple’s work.

“We want to open communication with the [artificial intelligence] community,” Mr. Tang said in an interview afterward before directing questions about that strategy to executives.

Most revenue comes from products like the iPhone or iPad, which are held in strict secrecy before their launch to protect innovations, and “overcoming that [culture] is difficult,” said Jack Clark, who heads strategy at OpenAI, a nonprofit, artificial-intelligence research group. He added that Apple’s blog was a positive step for the company.

An spokesman declined to comment on Mr. Clark’s remarks.

Though guarded about products, is a longstanding member of industry standards groups like the World Wide Web Consortium and has contributed to open-source projects over the years.

Competitive concerns are one reason companies might want to be careful about discussing AI work. But Dr. Goodman of Stanford said companies generally don’t need to worry about losing their competitive edge because the algorithms published in papers only work with proprietary data and remain essentially locked.

Apple’s continued restraint has stoked skepticism about its pledged transparency and doubts about its ability to recruit researchers. Tom Austin, an analyst in AI at research firm Gartner Inc., said would struggle to “succeed with a strategy that’s bottled up.”

in October named Carnegie Mellon University professor Ruslan Salakhutdinov as its director of AI research. He joined Carlos Guestrin, a University of Washington professor whose company acquired in August 2016.

Dr. Salakhutdinov announced at an artificial-intelligence conference in December that intended to be more open and would start publishing. Cornell University Library published that month Apple’s first research paper since Dr. Salakhutdinov’s arrival on improving graphic recognition.

In January, joined Facebook, and others as a member of the Partnership on AI, a group committed to developing best practices for research.

In an interview earlier this year, Dr. Salakhutdinov said would publish more, but declined to say how much. “You can have quantity, but producing high quality research is very important,” he said.

Research, and AI Research each have published more than 100 papers on topics since January.

Dr. Goodman of Stanford said that contrast has made joining feel “like a one-way move into industry whereas the AI labs like and feel more permeable.”

Though Apple’s public research has been limited, Manuela Veloso, a professor at Carnegie Mellon, advises her students to consider jobs that offer the opportunity to influence consumer products-an area where has an advantage.

“If you do this research at Apple, it’s their prerogative to have their [intellectual property],” Dr. Veloso said.

The Wall Street Journal

First Published: Tue, September 05 2017. 02:35 IST