【Facebook设计自主芯片过滤视频直播内容】Facebook正在设计自主计算机芯片,能够在分析和过滤视频直播内容时提高能效。Facebook首席人工智能科学家杨立昆(Yann LeCun)周五在巴黎表示:“想象一下,如果有人利用Facebook Live直播自杀或杀人,你会希望在这一幕发生时从直播服务中撤下这种内容。” 而使用传统计算机系统来监测每个直播需要强大的计算机性能,消耗大量能源。


Facebook builds AI watchdog chips to filter live video

Chris Davies - May 26, 2018
Facebook builds AI watchdog chips to filter live video

Facebook is developing its own chips that can analyze and filter video content in real-time, paving the way for potentially replacing human moderators as streaming on the social network grows exponentially. The site has been criticized in recent years for allowing users to share controversial or offensive content, including footage of people being assaulted or committing suicide.

Facebook currently relies on a combination of automated assessment and filtering, and a human team of moderators. The latter work around the clock, responding to content that has been flagged by Facebook users as well as what’s surfaced by the automated systems. It’s unclear, though, just how scalable a solution that is.

As a result, Facebook has begun looking at alternatives. That includes working on a homegrown chip design that will be more effective – and more energy efficient – at analyzing and filtering live video. The project was revealed by Yann LeCun, chief artificial intelligence scientist at Facebook, Bloombergreports, at the Viva Technology conference in Paris.

For Facebook, the potential is clear. “Let’s imagine someone uses Facebook Live to film their own suicide or murder,” LeCun theorized. “You’d like to be able to take down that kind of content as it happens.”

The idea is to use a dedicated artificial intelligence (AI) chip that would be focused on sifting through video and making real-time assessments of what the content shows. While that sort of analysis isn’t impossible with today’s hardware, it typically demands significant quantities of compute power. That has serious implications on energy consumption and cost.

“There’s a huge drive to design chips that are more energy-efficient for that,” LeCun confirmed. “A large number of companies are working on this, including Facebook.” The company already designs its own data center hardware, LeCun pointed out.

It’s not the first time we’ve heard chatter of Facebook looking internally for bespoke silicon. Back in April, reports suggested the social network was following in the footsteps of Apple, Google, and others, and developing its own chipsets. Multiple job listings for new roles focused on processors were spotted, covering a variety of topics.

At F8 2018, meanwhile, the company’s annual developer event, AI took center stage. That included a new set of video analysis tools, in addition to AIs that specialize in translation.



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