The Bank of England's chief economist, Andy Haldane, has warned that artificial intelligence and machines have the potential to make a huge number of jobs obsolete, with thousands of UK workers facing unemployment due to new technology. Mr Haldane told the BBC that the "Fourth Industrial Revolution" would be on a "much greater scale" than the previous three, and said the UK will need a skills revolution to avoid unemployment on a mass scale. He said that previous industrial revolutions had "a wrenching and lengthy impact on the jobs market, on the lives and livelihoods of large swathes of society". "Jobs were effectively taken by machines of various types, there was a hollowing out of the jobs market, and that left a lot of people for a lengthy period out of work and struggling to make a living," he said. "That heightened social tensions, it heightened financial tensions, it led to a rise in inequality. This is the dark side of technological revolutions and that dark side has always been there."

Hong Kong has a very special place in our hearts. It's the safest place on the planet, with beautiful local people who are shy and endearing, who harbor a fondness for taking pictures of their food, who believe in ghosts, who despise "those uncouth mainlanders", and who invent some strange cartoon characters – like McDull the pig and his friend Excreman that's literally a turd that crawled out of the toilet. If you're someone who noticeably speaks English, don't expect the Hong Kong police to ticket you for jaywalking. They're too shy about their English to approach you. Of course these are the same people who won't hesitate to tell you that you look fat when you return from holiday.

We introduce and analyze an extension to the matching problem on a weighted bipartite graph: Assignment with Type Constraints. The two parts of the graph are partitioned into subsets called types and blocks; we seek a matching with the largest sum of weights under the constraint that there is a pre-specified cap on the number of vertices matched in every type-block pair. Our primary motivation stems from the public housing program of Singapore, accounting for over 70\% of its residential real estate. To promote ethnic diversity within its housing projects, Singapore imposes ethnicity quotas: each new housing development comprises blocks of flats and each ethnicity-based group in the population must not own more than a certain percentage of flats in a block. Other domains using similar hard capacity constraints include matching prospective students to schools or medical residents to hospitals. Limiting agents' choices for ensuring diversity in this manner naturally entails some welfare loss. One of our goals is to study the trade-off between diversity and social welfare in such settings. We first show that, while the classic assignment program is polynomial-time computable, adding diversity constraints makes it computationally intractable; however, we identify a $\tfrac{1}{2}$-approximation algorithm, as well as reasonable assumptions on the weights that permit poly-time algorithms. Next, we provide two upper bounds on the {\em price of diversity} -- a measure of the loss in welfare incurred by imposing diversity constraints -- as functions of natural problem parameters. We conclude the paper with simulations based on publicly available data from two diversity-constrained allocation problems -- Singapore Public Housing and Chicago School Choice -- which shed light on how the constrained maximization as well as lottery-based variants perform in practice.

During the 2016 U.S. presidential election, inaccurate and misleading articles burned through social networks. Since then, tech companies--from behemoths like Facebook and Google to scrappy startups--have built tools to fight misinformation (including what many call "fake news," though that term is highly politicized). Most companies have turned to artificial intelligence (AI) in hopes that fast and automated computer systems can deal with a problem that's seemingly as big as the Internet. "They're all using AI because they need to scale," says Claire Wardle, who leads the misinformation-fighting project First Draft, based in Harvard University's John F. Kennedy School of Government. AI can speed up time-consuming steps, she says, such as going through the vast amount of content published online every day and flagging material that might be false.

Our online personality is now as measurable as our carbon footprint. In addition to some rather obvious statistics, such as how often we tweet, how many others we follow, and how many others follow us, we principally reveal ourselves in our choice of words. How often I refer to "I," "me," "myself," "mine," and "my" can tell you a good deal about my propensity for self-absorption, while a frequent use of "we" and "our" indicates a willingness to share either credit or blame. The frequency with which I use "you" or "your" is just as indicative of a desire to channel my feelings outward, so if I also show a partiality for negative words, this pairing of observables is strongly indicative of hostility. Frequent use of "LOL," "OMG," and the exclamation point reveals an excitable personality, while emoticons and hashtags such as #irony and #sarcasm make explicit not just my feelings but a playful stance toward the content of my own tweets. The use of complex sentence structures hinging on the logical connectives "if," "but," "yet," and "therefore" suggests a capacity for analytical thinking, while frequent questions--especially those involving words of negative sentiment--offer a clue to a nervous disposition.

Battlefield V is being delayed, and won't come out until 20 November. Developer DICE said that the extra time would allow the game to be improved, and for late feedback to be integrated within the game. But rumours have swirled around other problems for the release. The game was running right into the launch date of the new Call of Duty and Red Dead Redemption 2, a fact that had been blamed for reported low sales of the second world war game. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Last year, China's government put out its plan to lead the world in AI by 2030. As Eric Schmidt has explained, "It's pretty simple. By 2020, they will have caught up. By 2025, they will be better than us. By 2030, they will dominate the industries of AI."

Machines are learning faster than ever. Artificial intelligence systems run algorithms and make decisions faster than humans. They excel at performing tasks, but they don't have the ability to tell users why one decision is better than another, making some of their recommendations seem arbitrary or unreliable. That poses a risk when AI is used in military situations. Operators demand accountability from their machines, especially when they are used to understand massive amounts of images, far more than any human could analyze.

Nasa is working to contain a small leak onboard the International Space Station. The issue appears to be contained and the people on board the station do not appear to be under any immediate threat. But it did trigger a real alarm through the floating lab, which sent astronauts scrambling to find the cause of the problem. The crew was forced to check for the source of the leak by closing separate modules on the space station and finding which of them may be damaged. It was eventually tracked down in part of the Soyuz MS-09 spacecraft, which arrived at the station in early June carrying a crew of astronauts.

French President Emmanuel Macron says "we must rethink the European security architecture" as he pushed for a continent-wide effort to create "a strategic partnership, including in terms of defense, with our closest neighbors.".