"Every aspect of our lives will be transformed. In short, success in creating AI could be the biggest event in the history of our civilization." From self-driving vehicles to virtual assistants, artificial intelligence (AI) is evolving at a rapid pace. It has the potential for tremendous good – IBM's Watson improving cancer treatment with genomic sequencing as an example. Additionally, AI has been used to bring new art into the world – "Symphonologie" is an orchestra piece created with the help of AI.

Computer scientists have been at the self-driving vehicle problem for longer than you might think. Early research into the automated logic required for autonomous cars was published in the mid-70s, while the first fully robotic van came around in the early-80s courtesy of Ernst Dickmanns and his team at Bundeswehr University Munich. Efforts at Carnegie Mellon, meanwhile, were pushing the technology on the other side of that Atlantic. Then came NavLab, in 1986. Yeah, it's pretty quaint, but machine vision algorithms, in particular, were still young.

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning. Smart forecasting techniques can be used to reduce any possible risks and assist in making well-informed decisions. One of our customers, an enterprise from the Middle East, needed to predict their market demand for the upcoming twelve weeks. They required a market forecast to help them set their short-term objectives, such as production strategy, as well as assist in capacity planning and price control.

Google has finally launched an own-brand smartphone, the Pixel, to challenge Apple head on and provide a premium Android experience with the hardware tailored to the software by the people who actually make it.. The new smartphone succeeds Google's Nexus line of devices and the company claims that the Pixel is now 100% Google, unlike the Nexus devices where Google provided the software and had some input into the devices but not total control. The Pixel phone joins the Pixel C Android tablet and Chromebook Pixel as Google's first in-house devices. But for Google, the Pixel isn't just a smartphone, it's a referendum on whether Google as a brand sells. With an all-metal body, all-glass display, rock-solid build, fingerprint scanner and headphones socket, the Pixel ticks most of the boxes expected of top-end smartphone, except for a lack of waterproofing. How attractive it is as a design divides opinion.

Robots will take over 6 percent of jobs in USA by 2021, says a recent report by Forrester. Oxford University is even going as far as to say that by 2035, up to 47 percent of our jobs are at high risk of being automated. If that number doesn't have an impact, imagine this: by the time the current generation of infants legally reaches adulthood, they will have done so in a world where nearly half of our current jobs may be automated. What are the driving forces behind this development? And which jobs will be targeted?

In the age of the customer, human IT operators will be inferior and a new rulebook for IT operations will be needed. IT will need to change from supporting back-office processes to interacting directly with consumers and users, who will have far higher expectations of IT systems than traditional business users do. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.

I define creativity as the association between two ideas that one would not ordinarily consider a reasonable one to make but that works. I think that this is a rather simple thing to do for computers. I've been working on writing novels computationally for well over 10 years now and I'm still trying it, although I believe that within the next two to three years I will have broken its back and will produce 100,000-word novels in half an hour or so, novels that I think most people would consider to be creative. I can do uncreative short stories at this point, ones where the associations are routine and expected; they have occurred in many thousands of previous books. But I believe that in the near future my programs will be able to do creative ones. We are used to machines being used as tools that do not have a high level of cognitive ability, so it's difficult for people to think of them as being able to exhibit truly creative behaviour.

In the previous example we used clustering to see if an apparent pattern exists within Brexit tweets. We found out that we have three distinct patterns, the leave, the referendum, and Brexit. This in itself helps us think that we may even create a classifier that can identify if the tweet writer is pro or agains an issue automatically, with no human intervention. Let's get back to the issues related to clustering. To use the clustering algorithm we had to map 2 tweets at the time to a binary vector.

A fleet of self-driving delivery vans could be set to hit the UK's roads as early as next year. The electric vehicles could dramatically cut harmful emissions, and would be ready for the switch to driverless technology. What's more, the makers claim the basic design means they can be built by one person in just four hours. Unveiled at Wired magazine's 2016 conference in London this month, the'autonomous ready' electric vehicles could be the delivery trucks of the future. Made by Oxfordshire-based company Charge, the vehicles will use ultra-lightweight composite materials, reducing their weight.

Banking has come a long way from its roots in 2000 BC when merchants were using grain as currency for loans (Davies 1994). During the Italian Renaissance, the banking process became more sophisticated as services such as deposits and withdrawals were added (Varadarajan 2014). With the continued modernization of commerce, the industry progressed at an exponential rate. This progress eventually tapered off when the 2008 Financial Crisis hit, effectively tarnishing consumer trust in financial institutions. In the aftermath, it was apparent that in order for banks to remain profitable, a new model was needed – one that focused specifically on the experience of the customer.