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Wednesday, June 20, 2018

Zara Tindall: Queen’s granddaughter has baby girl

The baby, weighing 9lbs 3oz, is the Queen's seventh great-grandchild and 19th in line to the throne. Source: BBC

Trump space force: US to set up sixth military branch

Donald Trump said the "sixth branch" of the military would be good for national security and jobs. Source: BBC

New Brexit defeat for government in Lords

Peers send the Brexit bill back to the House of Commons after backing a greater role for Parliament. Source: BBC

Kane powers England to win over Tunisia

Harry Kane's stoppage-time winner ensures England started their World Cup campaign with victory after Tunisia threaten to snatch a point. Source: BBC

NHS funding: PM calls for 10-year plan to spend cash

PM wants NHS to ensure "every penny" is well spent - but questions continue on how the increase will be funded. Source: BBC

US child migrants: Melania speaks out on Trump’s separation policy

The US first lady says she "hates to see" hundreds of child migrants separated from their parents. Source: BBC

David Dimbleby to leave Question Time

The presenter will leave the political debate show in December after 25 years to return to reporting. Source: BBC

NHS gets £20bn ‘birthday present’

The PM says it will be part-funded by a "Brexit dividend" that will arise once EU payments cease. Source: BBC

Cannabis oil row prompts legalisation call

The law is 'frankly absurd', says the MP who chairs the all-parliamentary group on drug policy reform. Source: BBC

Home Secretary Sajid Javid reveals moped mugging

Sajid Javid says moped thieves snatched his phone outside Euston station in north London. Source: BBC

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World Cup: Final scores for Tuesday’s matches

Colombia and Russia were victorious on Tuesday

Twins killed together during World War II finally reunited after 74 years

The inseparable Pieper twins, whose service on the same ship ran against standard military policy, have been reunited

Machine learning may be a game-changer for climate prediction

New research demonstrates that machine-learning techniques can be used to accurately represent clouds and their atmospheric heating and moistening, and better represent clouds in coarse resolution climate models, with the potential to narrow the range of climate prediction. This could be a major advance in accurate predictions of global warming in response to increased greenhouse gas concentrations that are essential for policy-makers (e.g. the Paris climate agreement).