Some are calling drone racing the sport of the future with the drones, or quads, as the racers call them, flying around obstacle courses at up to 160km/h (100mph). Christian Parkinson has been to meet two of the South African racers taking part in next month's drone world championships to find out what the sport is all about and what skills you need to get to the top.

Ben Robinson, chief strategy & marketing officer at banking software firm Temenos, explains how the future of finance will be shaped by artificial technology. Google's DeepMind triumph this year over one of the world's highest ranked champions at Go is a sign: computers with artificial intelligence (AI) are learning how to outperform us. If computers can learn to beat us at a game, why not at things that we can't afford to get wrong – medical diagnostics, risk analysis, legal and investment advice? And what affect over time – say 20 years – will this have on the way a host of services, such as banking, are delivered? "Service will be all about data and algorithms," David Brear, co-founder and CEO at 11:FS recently suggested.

It starts without warning--or rather, the warnings are there, but your ability to detect them exists only in hindsight. First you're sitting in the car with your son, then he tells you: "I cannot find my old self again." You think, well, teenagers say dramatic stuff like this all the time. Then he's refusing to do his homework, he's writing suicidal messages on the wall in black magic marker, he's trying to cut himself with a razor blade. You sit down with him; you two have a long talk. A week later, he runs home from a nighttime gathering at his friend's apartment, he's bursting through the front door, shouting about how his friends are trying to kill him. He spends the night crouching in his mother's old room, clutching a stuffed animal to his chest. He's 17 years old at this point, and you are his father, Dick Russell, a traveler, a former staff reporter for Sports Illustrated, but a father first and foremost.

It sounds laughable now, but remember back when we thought a black president portended a "post-racial society"? When Barack Obama was elected in 2008, you didn't have to put that phrase in quotes. It seemed like an entirely plausible concept. Now that Hillary Clinton stands to make history as the first woman president, no one is contemplating a post-gender society or even a post-sexist society. There are a bunch of reasons for this, not least the fact that liberal-leaning, elite media are getting so much mileage from clickbait stories about identity politics that a post-anything society (at least anything having to do with race, gender or some other trait that might render you less advantaged than someone else) would be bad for business.

The Times Bayer bets the farm in 66 billion Monsanto deal: An American pioneer of genetically modified seeds has struck a 66 billion takeover deal with Bayer, the German chemicals giant, in the latest round of megadeal consolidations in agricultural production. Lawyers set to pass M&A paperwork to machines: Luminance, a start-up backed by Mike Lynch, the British technology investor, is aiming to reduce the time taken on due diligence that accompanies multimillion-pound M&A deals from weeks to days or even hours using a new form of artificial intelligence. Public sector job numbers plunge to record low: Employment in the public sector has fallen to a record low as private sector jobs surge ahead despite Brexit, official figures have shown. Mortgage lending falls in wake of Brexit vote: The number of mortgages advanced for house purchases fell in the first month after Britain's decision to leave the European Union. Miner in'bribery scandal' intends to quit AIM: An Africa-focused mining company that has been caught up in a bribery scandal is planning to delist its shares.

This tutorial will explain some practical tips about how to train a neural machine translation system. It is partly based around examples using the lamtram toolkit. Note that this will not cover the theory behind NMT in detail, nor is it a survey meant to cover all the work on neural MT, but it will show you how to use lamtram, and also demonstrate some things that you have to do in order to make a system that actually works well (focusing on ones that are implemented in my toolkit). This tutorial will assume that you have already installed lamtram (and the cnn backend library that it depends on) on Linux or Mac. Then, use git to pull this tutorial and the corresponding data. The data in the data/ directory is Japanese-English data that I have prepared doing some language-specific preprocessing (tokenization, lowercasing, etc.). Machine translation is a method for translating from a source sequence F with words f_1, ..., f_J to a target sequence E with words e_1, ..., e_I. This usually means that we translate between a sentence in a source language (e.g.

The first thing that might come to mind thinking of drones is their military application. Unmanned flying weaponry, however, is not a new approach. In the 1860s, balloons loaded with explosives and sent with the prevailing winds towards enemy targets, were used as the first drones. Today, they have become such an innovative technology that its use has extended to the civilian and commercial sector, becoming a part of our everyday life. Unmanned aircraft systems (UAS) or by the public referred as drones, have the potential to solve problems, improve safety and save costs across a number of industries, throughout the developing world and in disaster relief scenarios.

As a cease-fire in Syria entered its third day, authorities said Wednesday that the government was to begin withdrawing forces from a strategic road in the besieged rebel-held area of Aleppo, a move that would open the way for U.N. relief shipments. Syrian forces, with Russian air support, closed the road in July, thereby completing the encirclement of rebel districts with a population of as many as 300,000. A withdrawal south of Castello Road was to begin Thursday morning, according to Russian state news agency TASS. Rebel forces reportedly were to retreat simultaneously to positions north of the road. But it remained unclear whether residents of the city would accept the sacks of flour and food baskets the United Nations hopes to deliver.

Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools--algorithms, machine learning, sensors--are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems. Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun. It shouldn't come as a surprise that the solar sector is the latest to embrace the value of data. Other traditionally non-digital sectors, like the auto industry, oil and gas, and agriculture are turning to managing data as a necessity to keep their technology competitive and their companies in business.

Former Israeli President Shimon Peres' condition was showing slight improvements after he suffered a major stroke, with his physicians saying Wednesday that he had regained consciousness and squeezed his doctor's hand, while the nation rallied in prayer and support for the 93-year-old elder statesman and Nobel Peace laureate. Dr. Yitzhak Kreiss, director of the Sheba Medical Center near Tel Aviv, said Peres' condition remained serious Wednesday afternoon, 24 hours after the stroke. But he said Peres' neurological signs were improving. He said that Peres, who had been placed in and out of a medically induced coma, was regaining consciousness from time to time and reacting to stimulation. Peres remained on mild sedatives and a respirator, Kreiss said.