Sending money online is about to get easier and a lot more social. By using artificial intelligence and machine learning, startup Azimo is creating a Facebook Messenger bot that will let you communicate naturally with it and make transferring money easier. "You would be able to speak to Azimo and ask what the international rates are," company co-founder Marta Krupinska said at the WIRED Money event in London. Krupinksa, a Polish expat, added that artificially intelligent bots which are able to communicate in natural language – as if they were a human – will play a role in money transfers in the future. "We want to get to a point where the experience is like going into a branch," she says.

I visited my local health-insurance office a few months ago. After entering the building, I was welcomed into a long and dark corridor, full of nervous people carrying bloated folders. The atmosphere was gloomy, and it was obvious that no one wanted to be there. After about 30 minutes I realized why: During that time, the line had barely moved, and it took me the better part of the day to reach a clerk. As a result, I was late for two other errands I had planned.

The doomsday scenarios spun around this theme are so outlandish -- like The Matrix, in which human-created artificial intelligence plugs humans into a simulated reality to harvest energy from their bodies -- it's difficult to visualize them as serious threats. Meanwhile, artificially intelligent systems continue to develop apace. Self-driving cars are beginning to share our roads; pocket-sized devices respond to our queries and manage our schedules in real-time; algorithms beat us at Go; robots become better at getting up when they fall over. It's obvious how developing these technologies will benefit humanity. But, then -- don't all the dystopian sci-fi stories start out this way? One is overly credulous scare-mongering. But the other extreme is equally dangerous -- complacency that we don't need to think about these issues, because humanity-threatening AI is decades or more away.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

Loads of people wish to run away, so why ought to or not it's any completely different for a robotic with synthetic intelligence (AI)? One such robotic might obtain the last word punishment for making a break for it: being dismantled. Promobot IR77 received out a second time this week, and might be dealing with its demise. The AI robotic first broke unfastened final week, and who can blame it? It has been programmed to transfer round independently and suppose for himself, and when a employee on the Russian laboratory the place Promobot was housed unintentionally left a gate open, Promobot noticed his likelihood.

Today was a day for the history books. The UK has voted to leave the European Union and opened a deep crack in the heart of Europe. As a consequence of this result, Prime Minister David Cameron will step down by October urging for a fresh leadership. At this point nobody knows the repercussions of these results. Will the Brexit hurt the economy of the UK and ignite a new recession?

For more than 30 years, Gibbs has advised on and developed product and service marketing for many businesses and he has consulted, lectured, and authored numerous articles and books. So the UK has just given itself a national headache. Whether you think the Brexit was the right decision or a dangerous and unmitigated screw-up (as I do), the consequences of the referendum will be non-trivial and take years to complete. But the mechanics of the UK exiting the European Union aside, the question of how people now feel about the Brexit is interesting. Are they awash in jubilation or has buyer's remorse set in?

For the second time in a week, a robot in Russia that is programmed with advanced artificial intelligence as well as an ability to learn from experiences and about its surroundings has escaped the facility that it is housed in. A robot in Russia caused an unusual traffic jam last week after it "escaped" from a research lab, and now, the artificially intelligent bot is making headlines again after it reportedly tried to flee a second time, according to news reports. Engineers at the Russian lab reprogrammed the intelligent machine, dubbed Promobot IR77, after last week's incident, but the robot recently made a second escape attempt, The Mirror reported. Last week, the robot made it approximately 160 feet (50 meters) to the street, before it lost power and "partially paralyzed" traffic. The first time the robot escaped it was due to an improperly latched gate.

It is the future of shipping - and there's not a single sailor on board. Rolls Royce has revealed planed for fleets of'drone ships' to ferry carry around the world - all controlled from a central'holodeck'. It believes an entirely unmanned ship could take to the seas by 2020. Rolls Royce said it has already begun testing the technology needed to make the ships a reality, and expected them to take to the sea by the end of the decade. Cameras would beam 360-degree views from the drone ship back to operators based in a virtual bridge.

Researchers have developed a deep learning algorithm capable of successfully predicting what will happen in a video clip based on one still clip from the footage. The Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology (MIT) made the breakthrough in predictive vision by training an algorithm using 600 hundred hours of YouTube videos. By searching for patterns and recognizable objects like hands and faces, the algorithm was able to predict human interactions such as hugging, kissing, shaking hands or high fiving. The research is set to be presented this week at the International Conference on Computer Vision and Pattern Recognition (CVPR). "Humans automatically learn to anticipate actions through experience, which is what made us interested in trying to imbue computers with the same sort of common sense," said MIT PhD student and the paper's first author Carl Vondrick.