Nasa has released a dazzling 4K tour of the moon using data collected from its orbiting spacecraft. The tour gives a stunning new perspective of the moon's desolate surface, moving between regular views and digitally enhanced footage. It takes the view on a trip through the fascinating lunar features, such as the 2,500-km (1,600-mile)-wide South Pole-Aitken Basin and the famous landing site of the Apollo 17 mission. Presenter reduced to tears as he's shown child sex robot in Japan Incredible footage gives a stunning new perspective of the desolate surface that man walked on for the first time on July 20th, 1969. One digitally enhanced image (pictured) shows the Orientale Basin, located on the western border of the far side of the moon, which resembles a target ring bulls-eye. The impact structure's outermost rim - the Cordillera Mountains - is 930 km (580 miles) in diameter The video was created from nine years' worth of data harvested by the space agency's Lunar Reconnaissance Orbiter (LRO).

The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry. However, limited number of experts in AI is restraining the growth of the AI in aviation market. AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their recurring works, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs are taken care by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots.

Artificial intelligence and machine learning systems are made up of code and algorithms, and as such, they work as fast as computers can process them. Often this means massive amounts of learning can be accomplished every second without stop 24x7x365. Code doesn't need to take weekends off, holidays, or sick time. It can recognize complex patterns, areas of potential improvement and problems in real-time (aka digital-time). Given these available computing capabilities and speeds, what are executives to do with AI and machine learning, when we live and operate in relatively slow human-time, and work within organizations that work at an even slower pace of organizational-time.

The market for AI is so overhyped, virtually anybody looking for a fast buck can re-package an old abacus and sell it as a "machine learning" platform. Misinformed people buy the idea and the mounting frustration makes it extremely difficult for legitimate AI companies to get their message above the din. To successfully stand out in a crowded market, creative marketers have found it critical to create unconventional educational content and enlist the support of credible B2B influencers in their space. In the ever-shifting AI solutions ecosystem, even expert-led and well-thought out marketing campaigns can -- and often -- fail. To reduce costs and save time, marketers of AI products need to learn at the onset, or as early as possible, exactly which specific method doesn't deliver the results for their solutions.

"The air force announced the execution of air strikes with the Qasif 1 aircraft on Aramco in Jizan (province)," the channel said on its official Twitter account, referring to a drone the Houthis had previously unveiled.

Twenty-four EU countries pledged to band together to form a "European approach" to artificial intelligence in a bid to compete with American and Asian tech giants. Ministers signed a declaration on Tuesday (10 April) saying they will consider putting public research funding into AI, but did not promise a specific amount of dedicated new investments. All EU member states except for Cyprus, Romania, Croatia and Greece vowed to "modernise national policies" as part of an effort to develop large-scale AI research. One Commission official said the four EU countries that did not sign were not opposed to the initiative but might still need formal approval before signing. Norway also signed the declaration.

Stephen Hawking is one of the most respected minds in science today. He often speaks on a wide range of topics both within and outside of his particular expertise in theoretical physics. Some of Hawking's most discussed topics including the search for alien life, climate change, artificial intelligence (AI), and how all of these things, and more, are going to spell the end of humanity once and for all. Speaking at an event at Cambridge University last year Hawking said, "Our earth is becoming too small for us, global population is increasing at an alarming rate and we are in danger of self-destructing." He recognizes the pessimism of his assertations.

As technology continues to advance, the gap between science fiction and reality becomes smaller and smaller. Just like something straight out of a post-apocalyptic horror film, scientists are now concerned that an Artificial Intelligence robot army that is currently being developed by a top South Korean university could potentially wipe out all of humanity. In February of this year, KAIST University allegedly launched a brand new AI weapons lab, which has thus far led dozens of researchers to believe that the technology being developed there will "have the potential to be weapons of terror." One of these researchers is Toby Walsh, a professor at the University of New South Wales in Sydney, who argued in an open letter: "If developed, autonomous weapons will… permit war to be fought faster and at a scale great than ever before. They will have the potential to be weapons of terror."

Facing hours of sharp questioning in Congress over his company's privacy practices and its response to Russian election meddling, Facebook founder Mark Zuckerberg repeatedly argued on Tuesday that his company is engaged in an "arms race" with Moscow's intelligence agencies. Zuckerberg said that artificial intelligence represents the best solution to misinformation on Facebook, but won't be ready for another five to ten years. In the run-up to the 2016 election, Russian intelligence operatives used Facebook and other online platforms to spread divisive content generally aimed at boosting President Donald Trump's electoral chances. On Tuesday, a remorseful Zuckerberg admitted that his company's response was slow, calling it one of his "greatest regrets." Zuckerberg argued that the highly sophisticated Russian approach to spreading its influence online has left his company at a distinct disadvantage.

In 2016, a Mercedes-Benz executive was quoted as saying that the company's self-driving autos would put the safety of its own occupants first. This comment brought harsh reactions about luxury cars mowing down innocent bystanders until the company walked back the original statement. Yet protecting the driver at any cost is what drivers want: A recently published study in Science (available to read on arXiv) shows that, though in principle people want intelligent cars to save as many lives as possible (like avoiding hitting a crowd of children, for example), they also want a car that will protect its occupants first. It would be hard to trust this algorithm because we--the humans nominally in charge of the A.I.--don't ourselves have the "right" ethical answer to this dilemma. Besides, and potentially worse, the algorithm itself might change.