TOKYO-- Toyota Motor Corp. TM -0.84 % 's biggest parts supplier, Denso Corp. DNZOY 1.33 %, said Friday it planned to buy a majority stake in a maker of self-driving technology as it seeks to beef up its offerings to compete with global rivals. The deal to take a 51% stake in Fujitsu Ten Ltd., which builds the sort of radar systems used in autonomous driving systems, is Denso's third such deal since December. Denso will acquire shares from parent company IT firm Fujitsu Ltd. FJTSY 0.04 % The companies declined to say how much Denso would pay. Separately, Toyota will retain its current stake in Fujitsu Ten of a little over a third. Car makers from General Motors Co. GM -0.77 % to Tesla Motors Inc. are adding systems that take over some driving tasks in order to make cars safer.

Last month, 50 former national security officials who had served at high levels in Republican administrations from Richard Nixon to George W Bush published a letter saying that they would not vote for their party's presidential nominee, Donald Trump. In their words, "a president must be disciplined, control emotions, and act only after reflection and careful deliberation". Simply put, "Trump lacks the temperament to be president". In the terminology of modern leadership theory, Trump is deficient in emotional intelligence - the self-mastery, discipline and empathic capacity that allows leaders to channel their personal passions and attract others. Contrary to the view that feelings interfere with thinking, emotional intelligence - which includes two major components, mastery of the self and outreach to others - suggests that the ability to understand and regulate emotions can make overall thinking more effective.

The Fifa 17 demo has been released, letting players get their first chance to play the game – but just for four days. The download will only be available until 13 September. After that, fans will have no way of getting a go at the game until 29 September, when the full game comes out. The demo allows people to play through a single match of the kind that they'll get when the full game comes out. Players can choose from matches between 12 different teams from around the world, including Chelsea and Manchester City from the UK.

Nasa has sent a spacecraft chasing after an unexplored asteroid, in the hope that it might one day keep us from being destroyed. The Osiris-Rex robotic hunter has blasted off to the asteroid Bennu. When it gets there it will scoop up bits of ancient space rock – which could eventually tell us not just about where we came from but whether there is life elsewhere as well. But before it helps us find aliens, the craft might help us save ourselves. From the International Space Station, Expedition 42 Flight Engineer Terry W. Virts took this photograph of the Gulf of Mexico and U.S. Gulf Coast at sunset This image of an area on the surface of Mars, approximately 1.5 by 3 kilometers in size, shows frosted gullies on a south-facing slope within a crater.

The system is called Recognition and will be running for three months in London up to 27 November 2016, both online and in a small exhibition at the Tate. A nice touch is that it will also take in feedback from matching selections made by viewers themselves at the art museum on Millbank. Created by Fabrica, it's the winner of the IK Prize 2016 for digital innovation, awarded by Tate Britain, in partnership with Microsoft. You can see it in action above, in the match of LS Lowry's Industrial Landscape (from 1955) with a recent construction image of Changi Airport in Singapore… Apparently, Recognition employs multiple artificial intelligence technologies. For example, there is natural language processing to interpret image captions and text, analysing context and subject matter.

A Japanese team comprising Tokyo-based startup ispace and Tohoku University expects to complete its moon-bound robot contestant for Google Inc.'s exploration contest by next January. Hakuto will compete against 15 other teams from around the world to win the Google Lunar X Prize, the world's first private-sector competition to explore the lunar surface. The teams will send probes developed with money and technology from the private sector to the moon, get them to travel 500 meters or farther on its dusty surface, and transmit 360-degree images back to Earth. The first team to complete the mission will win the grand prize of 20 million. While the deadline for completing the mission is the end of 2017, none of the teams has landed a probe there yet.

Just months after Microsoft's Tay artificial intelligence sent racist messages on Twitter, another AI seems to have followed suit. More than 6,000 selfies of individuals who live all over the world and range in ages of 18 to 69 were judged by a robot in a beauty contest last week. But when the results came in, there was something missing - it turned out the robots did not like people with dark skin. The Beauty.AI beauty contest put together of robot judges to determine the winners. Beauty.AI used five algorithms to act as judges in a beauty contest.

Japanese investment in startup companies is surging, driven by interest in a number of powerful new technological trends. In the first six months of 2016, unlisted startups in the country raised a record 92.8 billion yen ( 897 million) of capital, up 21% from the same period the previous year. Total investment in entrepreneurial ventures in 2016 is likely to reach the highest level since data started being compiled in 2006. The trend has been led by companies keen to invest in ventures which own cutting-edge technology in areas like artificial intelligence. Japan Venture Research, a Tokyo-based research company, has estimated the amount of money raised by some 8,600 unlisted companies by analyzing data concerning their capital.

This post is Part 4 of the Deep Learning in a Nutshell series, in which I'll dive into reinforcement learning, a type of machine learning in which agents take actions in an environment aimed at maximizing their cumulative reward. Deep Learning in a Nutshell posts offer a high-level overview of essential concepts in deep learning. The posts aim to provide an understanding of each concept rather than its mathematical and theoretical details. While mathematical terminology is sometimes necessary and can further understanding, these posts use analogies and images whenever possible to provide easily digestible bits that make up an intuitive overview of the field of deep learning. Previous posts covered core concepts in deep learning, training of deep learning networks and their history, and sequence learning. Remember how you learned to ride a bike? More than likely an adult stood or walked behind you and encouraged you to make the first moves on your bike, and helped you get going again when you stumbled or fell. But it is very difficult to explain to a child how to ride a bike, and even a good explanation makes little sense to someone who has never ridden before: you have to get the feel for it. So how did you learn to ride a bike if it could not be clearly explained?

This robot dives to depths humans dare not attempt - and it can bring people along for the ride without them getting wet. The Stanford-built OceanOne is filled with compressible oil to offset the crushing pressures experienced when 100 metres underwater, and AI-assisted navigation steers it clear of obstacles. Its operators remain on land, observing on screen everything the robot captures, using joysticks to drive it and guiding its hands through a feedback mechanism that relays tactile sensations. "It's impossible to let a robot act alone in such an environment: it will fail," says Professor Oussama Khatib, OceanOne's creator. "The only way you can guarantee success is connecting a worker through a haptic device to the robot.