London attack: Moment police opened fire

BBC News

A chef in a tapas restaurant in London's Borough Market captured the moment police fired upon the three men suspected of killing seven people and injuring 48 during Saturday's attack in London.

At Least 65 People Missing or Feared Dead in London Fire: the Sun

U.S. News

LONDON (Reuters) - The Sun newspaper on Friday listed 65 people who it said were still missing or feared dead in a London tower block fire which police said has left 17 people dead with the death toll expected to rise.

London attack: The signs of solidarity being shared online

BBC News

People have taken to social media to post pictures of signs and art work bearing defiant messages of solidarity in the wake of the London Bridge attack. "London Bridge will never fall down" and "I love London" are just some of the slogans being shared alongside the hashtag #prayersforLondon. Cartoonist Lesco Griffe posted this illustration bearing the famous British motto, while novelist Tony Parsons was among those who posted this "quote of the day" sign from a London Tube station. Many Brits on Twitter also took exception to a report from the New York Times that the UK was "reeling" after being the victim of two terror attacks in two weeks. Author JK Rowling warned people not to "confuse grief with lack of courage", while others turned to photographs from the aftermath of the Blitz air raids in London during World War Two to show what they thought.

London attack: 'You have to carry on'

BBC News

Seven people have been killed in central London after three men drove a van into pedestrians on London Bridge, before launching a knife attack on people around Borough Market. The Costa coffee shop near London Bridge is rammed with families, couples and police officers. It offers some relief after a long night. Paula Worrall, 38 from Liverpool, is in her party dress from the night before. She was unable to return to the nearby Premier Inn hotel.

Merging CI and AI - it can be done - Continuous Lifecycle London


Whenever change happens, there's always one department that tries to claim that it won't work for them. AI teams are the latest to get away with this, hiding behind differences in how research is done to shrug off the requirements of agile development, automated testing and continuous integration. I've been working with my team to embed CI even during the initial stages of deep learning and reaped the rewards of improved efficiency for both research and development. It is possible to create a data science development pipeline and I'll discuss not only how I've got this set up, but also how I've had to flex the processes to make it work for all involved.