We typically think of artificial intelligence (AI) within our industry in terms of processes and calculations. Media buying, for example, is ripe for intervention by sophisticated algorithms and machine learning systems. The commonly-held assumption is that developments such as these will free up humans to spend more time on creative tasks, like campaign strategy and content production. But as we move from rule-based automation to true AI, should we believe that creativity will remain a singularly human pursuit? How close is artificial intelligence to being able to carry out the role of a content marketer?

As self-driving cars are being tested everywhere from the US to South Korea, Germany to Australia, reports today make it clear that it won't be happening in India. The country's transport and highways minister, Nitin Gadkari told reporters today, "We won't allow driverless cars in India. I am very clear on this." Rather, the minister's rejection of self-driving vehicles is about the jobs they would take away from drivers in the country. "We won't allow any technology that takes away jobs. In a country where you have unemployment, you can't have a technology that ends up taking people's jobs," said Gadkari.

Facial recognition software is a reality and an increasingly irritating one. Smart cameras are monitoring the streets of most major cities, social media have massive databases of users' faces, and god knows how security services are planning to use it. Is there any way to escape Big Brother and enjoy some privacy? Developers and researchers are already working on this. For example, Carnegie Mellon University recently showed how specially designed glasses can trick facial recognition software into thinking you are someone else, and projects such as CV Dazzle explore how fashion can be used as camouflage.

It would take about two months for the bot to swim the length of an Olympic swimming pool – in that time, Phelps could swim almost 5 million lengths. But the nano-swimmer is fast for its size, and it's strong enough to pass through more viscous liquids, like blood, to deliver medicine from inside your veins. The front crawl is the fastest way for humans to swim. So Tianlong Li at the Harbin Institute of Technology in China and his colleagues built their swimming robot to mimic that motion. Each nano-swimmer is 5 micrometres long and has three main parts, connected together like sausage links by two silver hinges.

The Chinese government's wish-list for AI researchers is pretty ambitious: "Breakthroughs should be made in basic theories of AI, such as big data intelligence, multimedia aware computing, human-machine hybrid intelligence, swarm intelligence and automated decision-making." They'll get right on that, I'm sure. A common technology system should be developed based on algorithms, data and hardware. Technologies in the system include a computational knowledge engine, swarm computing, virtual reality modeling and natural language processing. Innovation platforms should be constructed, such as an open-source computing platform, which can promote coordination among different hardware, software and clouds.

While modern Bluetooth earpieces are more compact than ever, chances are you'll still need to leave at least one stuck in your ear. This can get uncomfortable over time, not to mention the dorkiness that's been haunting this form factor since day one. Hong Kong startup Origami Labs thinks it has an alternative solution to this problem: why not repackage the Bluetooth earpiece as a ring, and then use bone conduction to transmit audio to the fingertip? Using bone conduction for audio transmission is hardly a new idea. It's a commonly used technology in the hearing aid market, as this transmits sound directly to the inner ear, thus bypassing hearing issues caused by the middle or outer ear.

Alan Turing is often praised as the foremost figure in the historical process that led to the rise of the modern electronic computer. Particular attention has been devoted to the purported connection between a "Universal Turing Machine" (UTM), as introduced in Turing's article of 1936,27 and the design and implementation in the mid-1940s of the first stored-program computers, with particular emphasis on the respective proposals of John von Neumann for the EDVAC30 and of Turing himself for the ACE.26 In some recent accounts, von Neumann's and Turing's proposals (and the machines built on them) are unambiguously described as direct implementations of a UTM, as defined in 1936. "What Turing described in 1936 was not an abstract mathematical notion but a solid three-dimensional machine (containing, as he said, wheels, levers, and paper tape); and the cardinal problem in electronic computing's pioneering years, taken on by both'Proposed Electronic Calculator' and the'First Draft' was just this: How best to build a practical electronic form of the UTM?"9 "[The] essential point of the stored-program computer is that it is built to implement a logical idea, Turing's idea: the universal Turing machine of 1936."18 This statement is of particular interest because, in his authoritative biography21 of Turing (first published 1983), Hodges typically follows a much more nuanced and careful approach to this entire issue. For instance, when referring to a mocking 1936 comment by David Champernowne, a friend of Turing, to the effect that the universal machine would require the Albert Hall to house its construction, Hodges commented that this "was fair comment on Alan's design in'Computable Numbers' for if he had any thoughts of making it a practical proposition they did not show in the paper."21 "Did [Turing] think in terms of constructing a universal machine at this stage? There is not a shred of direct evidence, nor was the design as described in his paper in any way influenced by practical considerations ... My own belief is that the'interest' [in building an actual machine] may have been at the back of his mind all the time after 1936, and quite possibly motivated some of his eagerness to learn about engineering techniques. But as he never said or wrote anything to this effect, the question must be left to tantalize the imagination."21 Discussions of this issue tend to be based on retrospective accounts, sometimes even on hearsay. The most-often quoted one comes from Max Newman, who had been Turing's teacher and mentor back in the early Cambridge days and, later, became a leading figure in the rise of the modern electronic computer, sometimes collaborating with Turing. "The description that [Turing] gave of a'universal' computing machine was entirely theoretical in purpose, but Turing's strong interest in all kinds of practical experiment made him even then interested in the possibility of actually constructing a machine on these lines."6

Customer contact centers are most efficient when they are able to automate routine tasks and quickly route callers to human agents who can solve issues in a timely and courteous fashion. In years past, rules-based decision matrices (such as "press 1 for sales, press 2 for technical support") were the de facto standard for "intelligent" customer service systems, and often left customers frustrated and angry by the time they reached a live human being. Advances in artificial intelligence are yielding significant benefits for organizations that deploy the technology in their call centers. Indeed, rather than simply being used to replace contact center workers, artificial intelligence (Al)-based technologies, including machine learning, natural language processing, and even sentiment analysis, are being strategically deployed to improve the overall customer experience by providing functionality that would be too time-consuming or expensive to do manually. "It's a lot more prevalent than people think," explains Justin Robbins, content director for the International Customer Management Institute and HDI.

The artificial intelligence revolution is being underwritten by the cloud. Every decision made by an AI involves sending information to vast data centres, where it's processed before being returned. But our data-hungry world is posing a problem: while we can process data at rapid rates, sending it back and forth is a logistical nightmare. And that's why AI is heading to your pocket. In essence, this means adding brains to the phones and other technologies we use on a daily basis.

Kodi addons can secretly be used to spy on users, the project manager of the foundation says. They can collect and share information such as your IP address and usage habits without you realising, and feed it back to organisations like anti-piracy groups. Though authorities have tried to turn people away from piracy with repeated warnings, they've admitted that it can be tough to work out who is using Kodi for legal purposes and who is using it for illegal purposes. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.