Leaders of Asia-Pacific economies have failed to agree a communique at a summit in Papua New Guinea after a war of words between the US and China over trade and investment.

Facebook has found itself drawn into an escalating political row in Sri Lanka as opposition MPs accuse the ruling party of using data to launch a crackdown.

Theresa May will step up her fightback against moves by Conservative MPs to oust her with a hard-hitting speech to business leaders on immigration.

Nick Collier is to become the City of London Corporation’s key representative in Brussels after Brexit – Reports Sky News

Banking and housebuilding stocks remain under pressure as businesses exposed to the UK economy continue to feel the heat from the ongoing political crisis over Brexit.


Amazon says its new second headquarters will be split between New York City and Arlington, Virginia – ending months of speculation.

An investigation by cyber security firm Symantec has now uncovered that the North Korean government is stealing tens of millions of dollars by hacking into banks and forcing ATMs to dispense cash to mules.


Facebook constructs AI that can identify offensive memes

The ‘Rosetta’ AI, developed in order to identify objectionable memes acts as another regulative measure by the social media giant, which has been under intense scrutiny in recent times

The AI will go along way in tracking images and texts on the platform – which even the company’s moderators can’t possibly look through on their own.

Facebook elaborated on ‘Rosetta’ on a blog post today. It’s a system that uses machine learning to identify text in images and videos and then transcribe it into something that’s machine readable. This tool makes it easy to identify memes – which are often as much a topic of scrutiny and controversy, as they are popular in general use.

Text transcription tools are nothing new, but Facebook faces different challenges because of the size of its platform and the variety of the images it sees. Rosetta is said to be live now, extracting text from 1 billion images and video frames per day across both Facebook and Instagram.

It isn’t immediately clear what Facebook is doing with the data. While it’s useful for features like photo search and screen readers, as the post points out – it also seems like Facebook will use it for bigger goals like putting interesting stuff in users’ news feeds, and more importantly—differentiating between goofy and offensive memes and comments.

Facebook states that text extraction and machine learning are being put to use to “automatically identify content that violates our hate-speech policy” and that it’s doing so in multiple languages.

Given the software giant’s infamous and publicly scrutinised moderation issues, a well-functioning system that can automatically flag potentially problematic images can be a real boon.

-GBO Correspondent.

Leave a Comment