The world's first commercial Hyperloop will be running in Abu Dhabi by 2020 and could hurtle passengers around at speeds of up to 760mph (1,200 kmh). The track - which will be around six miles (10km) long - will be close to Al Maktoum International Airport on the border of Abu Dhabi and Dubai. The plan is to have the first section of the track ready for Expo 2020 - which is being held in Dubai - with plans to eventually extend the network to Riyadh, Saudi Arabia, nearly 621 miles (1,000km) away. The world's first commercial Hyperloop will be running in Abu Dhabi by 2020 and could hurtle passengers around at speeds of up to 760mph (1,200 kmh) (concept image) Hilarious moment puppy doesn't want to walk anymore Coronation Street's Rana and Kate caught naked in bed by parents Hilarious moment Billie's daughter Nelly claims she is constipated The track - which will be around six miles (10km) long - will be close to Al Maktoum International Airport on the border of Abu Dhabi and Dubai (concept image). Culver City-based company Hyperloop Transportation Technologies (HyperloopTT) says the super-fast system could also be used to carry cargo from the country's ports and harbours.

Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying the use of the phrase. But this is not the classical case of the public not understanding the scientists -- here the scientists are often as befuddled as the public. The idea that our era is somehow seeing the emergence of an intelligence in silicon that rivals our own entertains all of us -- enthralling us and frightening us in equal measure. There is a different narrative that one can tell about the current era. Consider the following story, which involves humans, computers, data and life-or-death decisions, but where the focus is something other than intelligence-in-silicon fantasies.

Artificial intelligence might be the way of the future -- or increasingly, the present -- but in order to successfully reap the benefits, executives need to ensure that purposeful steps are taken before and during the launch of the software. SAP's report, "Making the Most of Machine Learning: Five Lessons From Fast Learners," reveals the key components of deploying and maximizing machine learning."Machine "Executives need to view machine learning not as a quick fix but as an integral part of a larger strategy to give their business a competitive edge. This requires looking past the initial investment and focusing on the potential for long-term business value."To Half of the participants represented companies with $500 million or more in annual revenue.

The risks posed by intelligent devices will soon surpass the magnitude of those associated with natural disasters. Tens of billions of connected sensors are being embedded in everything ranging from industrial robots and safety systems to self-driving cars and refrigerators. At the same time, the capabilities of artificial intelligence (AI) algorithms are evolving rapidly. Our growing reliance on so many intelligent, connected devices is opening up the possibility of global-scale shutdowns. The good news is that natural disasters themselves, which Munich Re says caused $330 billion in economic losses globally in 2017, provide a template for how to mitigate the growing and catastrophic risk posed by AI.

Daisy is Apple's latest "disassembly" robot. Apple's latest "disassembly" robot can take apart 200 iPhones an hour, letting Apple recover materials it says that traditional recyclers cannot. This new robot, Daisy, is capable of disassembling any of nine iPhone models. The Cupertino, Calif. announced Daisy as part of its environmental initiatives ahead of Earth Day Sunday. Daisy incorporates technology and some recycled parts from Apple's previous disassembly robot Liam, which launched in 2016 and was created after years of R&D.

Artificial intelligence (AI), a subset of machine learning, has the potential to drastically impact a nation's national security in various ways. Coined as the next space race, the race for AI dominance is both intense and necessary for nations to remain primary in an evolving global environment. As technology develops so does the amount of virtual information and the ability to operate at optimal levels when taking advantage of this data. Furthermore, the proper use and implementation of AI can facilitate a nation in the achievement of information, economic, and military superiority – all ingredients to maintaining a prominent place on the global stage. According to Paul Scharre, "AI today is a very powerful technology. Many people compare it to a new industrial revolution in its capacity to change things. It is poised to change not only the way we think about productivity but also elements of national power."AI is not only the future for economic and commercial power, but also has various military applications with regard to national security for each and every aspiring global power.

Elon Musk's comment that humans are underrated (Humans replace robots at flagging Tesla plant, 17 April) doesn't come as much of a surprise, even though his company is at the forefront of the technological revolution. Across industries, CEOs are wrestling with the balance between humans and increasingly cost-effective and advanced robots and artificial intelligence. However, as Mr Musk has discovered, the complexity of getting a machine to cover every possibility results in a large web of interconnected elements that can overcomplicate the underlying problem. This is why so many organisations fail when they try to automate everything they do. Three key mistakes I see time and again in these situations are missing the data basics, applying the wrong strategy, and losing the human touch. There are some clear cases where automation works well: low value, high repetition tasks or even complex ones where additional data will give a better outcome, for example, using medical-grade scanners on mechanical components to identify faults not visible to the human eye.

Nintendo Labo – the new, strange, cardboard accessory for the Switch – is finally about to arrive. The accessory allows you to make a car, a piano, a robot or a motorbike. And it does all that with just the use of some very well put together cardboard. US and Japan will get hold of Labo this week, on 20 April. In Europe and the UK, they will come out a week later, on 27 April.

Global Artificial Intelligence in Cyber Security Market is expected to reach $18.2 billion by 2023. As per the findings of the research, network security accounted for the largest market during the historical period, and is expected to grow at a CAGR 34.5% during the forecast period in the artificial intelligence in cyber security market. Growth of network security market is predominantly driven by the upsurge in the adoption of wireless networks and their susceptibilities, as establishments nowadays are increasingly depending on wireless networks for data transfer. On the basis of technology, machine learning is gaining traction in the artificial intelligence in cyber security market, and is projected to cross $6 billion by 2023. The larger revenue share of machine learning is mainly attributed to better threat learning algorithm using voluminous data to protect businesses.

It is the task that tests many of the most skilled, patient humans. But the robots appear to be catching up. A new robot has been taught to successfully put together a piece of Ikea furniture. It could one day leave the tough job of finding the right screws and putting them in the right place to the past – leaving humans never to have to struggle to put together their new chair again. Doing so takes even longer than the time required to put together flat-pack furniture: the scientists spent three years programming the robot to make sure that its arms, grippers, sensors and 3D cameras could put together the chair.