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News Daily: MPs' Brexit plans and disability hate crime call

BBC News

The House of Commons will vote next week on Theresa May's amended Brexit deal. Ahead of this, MPs are beginning to submit their own amendments. Among the proposals so far are those aimed at: preventing a no-deal Brexit; extending the Article 50 deadline if a deal isn't agreed by 26 February; looking at options including renegotiating with Brussels or holding another referendum. On Monday, the prime minister said she was focusing on altering the Irish backstop, and that she was scrapping proposals for a £65 fee for EU citizens to remain in the UK. But Labour's Jeremy Corbyn argued that Mrs May was in denial about the level of opposition to her plans.


The Papers: Concerns about NHS on front pages

BBC News

The head of the NHS in England, Simon Stevens, is in the news this morning. According to the Times, five million patients a month are waiting more than three weeks to see their GP. And the paper says 1,000 fewer family doctors are in post than when ministers pledged to recruit an extra 5,000 in 2015. Mr Stevens' plan for joined up care to keep patients out of hospital "relies on beefed-up GP surgeries offering more treatment and co-ordination locally, but despite extra money, £20,000 'golden hellos' and overseas recruitment drives, numbers continue to fall", the Times adds. Meanwhile, Mr Stevens is said to be at loggerheads with Downing Street, the Treasury and Department of Health and Social Care about how much his long-term plan for the health service can promise to boost care.


Cambridge Analytica created own quizzes to harvest Facebook data

#artificialintelligence

Controversial data mining company collected information on at least 87 million Facebook users. LONDON -- Cambridge Analytica created its own Facebook quizzes and questionnaires to collect reams of data on users using the social networking giant, according to a former senior official at the data mining company. Brittany Kaiser, the former director of program development at Cambridge Analytica, told British lawmakers on Tuesday that the company, which is at the center of a broader Facebook data scandal, widely used such practices, including a "sex compass" quiz, to garner insight on people's online habits. These data-collection strategies made it highly likely that more people's Facebook data had been collected without their knowledge than previously thought, according to Kaiser. Cambridge Analytica is already accused of using a third-party app created by Aleksandr Kogan, a Cambridge University professor, to collect online information on up to 87 million Facebook users.


Angry birds developer to open video game studio in London despite Brexit fears

The Independent - Tech

The company behind the globally successful Angry Birds video game has chosen London for the site of its first game studio outside Scandinavia, shrugging off any concerns over the future of the City's tech industry in the face of Brexit. In a statement on Monday, Rovio said that it aims to build a team of over 20 in London over the next two years. The studio will be the Finnish developer's fifth. The company currently has three in Espoo, Finland and one in Stockholm, Sweden. "Our business is profitably growing and London is the most logical place for us to found a new studio," said Antti Viitanen, a senior vice president for studios at Rovio.


Comparison Between Global Vs Local Normalization of Tweets, and Various Distances

@machinelearnbot

From the text mining literature, it appears that practitioners tend to utilize Cosine Distance to compare 2 documents. They have used it with great success. From our previous blog, we also used Cosine Distance and we also found it extremely good and helping us, and our clustering method, get an insight in the UK Exit Referendum. In here, we decided to change our initial conditions and see if we get different outcomes,i.e. We decided to try 4 others distances: Jaccard, Matching, Rogers Tanimoto and Euclidean.


Comparison Between Global Vs Local Normalization of Tweets, and Various Distances

@machinelearnbot

In the previous example we used clustering to see if an apparent pattern exists within Brexit tweets. We found out that we have three distinct patterns, the leave, the referendum, and Brexit. This in itself helps us think that we may even create a classifier that can identify if the tweet writer is pro or agains an issue automatically, with no human intervention. Let's get back to the issues related to clustering. To use the clustering algorithm we had to map 2 tweets at the time to a binary vector.


Low voter turnout invalidates Hungary's referendum on European Union refugee quotas

Los Angeles Times

Low voter turnout invalidated Hungary's referendum on European Union refugee quotas, even though citizens voted overwhelmingly in support of the government's opposition to any future, mandatory EU plans to relocate asylum seekers. The government claimed a "sweeping victory," but analysts said that the result was an "embarrassing but not totally catastrophic defeat" for Prime Minister Viktor Orban. "We can be proud that we are the first and so far only member state of the European Union" to hold such a referendum, Orban told supporters after the results were known. "Hungarians were able to give their direct opinions on the issue of immigration." Orban, who did not mention that the referendum was officially invalid, said he would present a proposal to amend the constitution reflecting people's intentions.


G20 countries pledge to boost growth, dampen Brexit shock

FOX News

BEIJING – Finance officials of major economies pledged Sunday to boost sluggish global growth but announced no joint initiatives and promised to defend against the shockwaves of Britain's vote to leave the European Union. In a joint statement after a two-day meeting, envoys of the Group of 20 also rejected trade protectionism, an issue that has risen in prominence as U.S. Republication presidential candidate Donald Trump has talked about restricting access to American markets. The United States, China, Britain, Germany and other governments at the meeting in Chengdu in western China pledged to use spending, monetary policy and regulatory reforms to strengthen growth. They promised to strengthen communication and cooperation but announced no joint action, as some financial traders had hoped. "We are taking action to boost confidence and promote growth," said the statement.


The Death Of The Conventional Referendum: Lessons From Theoretical Biology

#artificialintelligence

On Thursday, June 23, 51.9% of the over 33 million who voted opted for the UK to leave the EU. By June 27, the pound had fallen to a 31 year low against the dollar. On the same day, Ireland's foreign minister was forced to issue a plea asking UK nationals to "stop rushing for Irish passports", as post offices in Belfast ran out of application forms. Up to 7% of those who had voted to leave now regretted their decision, according to media reports. Regardless of the turnout, two commonly known economic principles ensure that referenda will always be inherently flawed policy instruments.


Artificial intelligence yields huge returns from Brexit

#artificialintelligence

So Brexit turned out to be the non-event for markets we expected with asset prices booming to record highs while support for remaining inside the single currency free-trade zone has risen within other European Union countries. As is often the case, the trade was to "fade" – or bet against – the apocalyptic hyperbole both before and after the referendum. Remarkably one boutique Australian quant shop did exactly this by leveraging academic studies of "blue green algae", which helped it generate enormous 32 per cent returns on the day of the vote. Taaffeite Capital Management (TCM) claim their "artificial intelligence" (aka computer code operating autonomously of humans) figured out that there were massive financial market mispricings that warranted shorts on equities and long positions on government bonds without actually knowing that a referendum was being held. The intellectual property underlying this "systematic" – or automated – trading strategy belongs to Massachusetts Institute of Technology PhD Desmond Lun, who is a 36-year old Australian professor of computer science at Rutgers University in the US, and a Melbourne University alumnus.