Queen Elizabeth II is reportedly at "terror risk." The exact routes and schedules of the monarch's royal trips were announced 48 hours before the takeoff. The Royal Household decided to release the details to warn private aircraft and pilots and drone operators to minimize the risk of collision as there were cases of near-misses with drones. However, an expert felt that doing so encourage "terrorists, mad people and pranksters," Express reported. Dai Davies, former head of royal protection did not agree with the said move.

FOR the moment at least, automation is occurring all too slowly. The displacement of workers by machines ought to be bringing on a consistent rise in productivity and a faster growing economy. This is not happening in the US, Europe and Japan as well as in most parts of the world, including Malaysia – all being persistently disappointed with the outcomes. Experts warn that rapid advances in robotics and artificial intelligence (AI) could destroy millions of jobs and pose a "Terminator" style threat to human life as we know it. However unnerving the prospect, present day limitations of AI appear all too evident.

The fast-changing, uncertain and ambiguous environments that organisations operate in today, requires organisations to re-think all their internal business processes and customer touch points. In addition, due to the availability of emerging (information) technologies such as big data, blockchain and artificial intelligence, it has become easier for startups to compete with existing organisations. Often these startups are more flexible and agile than Fortune 1000 companies and they can become a significant threat if not paid attention to. Therefore, focusing purely on the day-to-day operation is simply not enough and organisations have to become innovative and adaptive to change if they wish to remain competitive. The key characteristic of these new startups is that they are, at its core, a data company, regardless of the product or service they offer.

A prototype autonomous ship known as the Medium Displacement Unmanned Surface Vehicle (MDUSV) has officially been transferred to the U.S. Navy from the Defense Advanced Research Projects Agency (DARPA) after a two-year testing and evaluation program. Named "Sea Hunter," the Office of Naval Research will continue to develop the vessel from this point forward. Although there's no specific timetable for when the Sea Hunter would join active naval operations, the statement from DARPA indicated that it could happen as early as this year. The anti-submarine warfare vessel could be the first of an entirely new class of warship. "[Sea Hunter] represents a new vision of naval surface warfare that trades small numbers of very capable, high-value assets for large numbers of commoditized, simpler platforms that are more capable in the aggregate," said Fred Kennedy of DARPA.

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A startup emerging out of stealth today wants to help companies understand massive stores of text data using AI. The company is called Primer, and it uses machine learning techniques to help parse and collate a large number of documents across several languages in order to facilitate further investigation. Here's how it works: Users feed Primer's software a stream of documents, and it automatically summarizes what it determines to be the most important information out of that haystack of data. Users are then able to filter by topic, event, and other categories to drill down into the information Primer collected so they can go beyond the automatically generated headlines. The idea is that Primer will augment work done by the human analysts who would ordinarily be tasked with the job of wading through many sources and collating them into a report.

The coming advent of super-intelligent AI has some of the greatest minds of our time crying apocalypse. Stephen Hawking co-authored an article on the topic which darkly quipped that "success in creating AI would be the biggest event in human history--unfortunately, it might also be the last." Bill Gates has likewise voiced concern. Elon Musk famously called artificial intelligence our "greatest existential threat" and issued a letter (along with Stephen Hawking, Steve Wozniak, and hundreds of others) warning that AI could be more dangerous than nuclear weapons, and he's been doing a lot of hand-wringing again lately. In a recent address to an assembly of U.S. governors, Musk warned that AI needs to be regulated before it's too late.

Rex Sham and his WALL-E-inspired robots are improving fire detection to slash carbon emissions and make the world better. If he were in a movie, Rex Sham would be the bad guy, or at the very least the well-meaning scientist who unwittingly wipes out the human race. In reality, Sham, the co-founder and chief science officer of Insight Robotics, is using his ingenious, WALL-E-like fire-detecting robots to save the planet. What Sham has developed is an automated early warning system that combines a high-precision, pan-tilt robot with thermal imaging sensors and advanced artificial intelligence (AI) vision technology. In its tests of the Computer Vision Wildfire Detection System, the Guangdong Academy of Forestry (Insight Robotics' research partner since 2010) has recorded a 100 per cent detection rate in multiple field trials and deployments.

AI integration into everyday life has been repeatedly spoken of as an inevitability, with many armchair experts predicting potentially disastrous consequences for humankind. But are the'doomsday' fears of AI just fantasy? There are psychological reasons for popular notions of AI doom as depicted in Hollywood blockbusters, however today our focus is on asking whether these fears really have a solid basis. Entrepreneurial billionaire Elon Musk, has been very outspoken in his take on Artificial Intelligence. He has even tweeted that we should be more afraid of AI than of nuclear conflict.