The system is called Recognition and will be running for three months in London up to 27 November 2016. A nice touch is that it will also take in feedback from matching selections made by viewers themselves at the art museum on Millbank. Created by Fabrica, it's the winner of the IK Prize 2016 for digital innovation, awarded by Tate Britain, in partnership with Microsoft. A display at Tate Britain accompanies the online project offering visitors to the gallery the chance to compare the machine's matches with their own and invites them to help retrain the algorithm. The experiment will explore whether an artificial intelligence programme can learn from the many personal responses humans have when looking at images.

Lenovo Group Ltd, the world s largest personal computer maker, will launch its augmented-reality-enabled smartphone in October in China, as part of its broad efforts to boost phone sales with innovative products. Yang Yuanqing, CEO and Chairman of the Beijing-based company, said on Saturday the Phab2 Pro, the world s first smartphone to host AR applications without the need of other accessories, will help create new business models by bringing new interactive experience to consumers. The new device, first unveiled in June, is based on Google Inc s Tango project and allows users to play virtual dominoes on a physical table and shoot digital robots that inhabit users living rooms. "Technology innovation and business model innovation are part of the new path for growth," Yang said, adding the company aims to leverage cutting-edge technologies to change the way people live and work. He made the comments at the B20 summit which was held in Hangzhou, capital of Zhejiang province on Saturday.

One of the country's biggest law firms has become the first to publicly announce that it has "hired" a robot lawyer to assist with bankruptcy cases. The robot, called ROSS, has been marketed as "the world's first artificially intelligent attorney." ROSS has joined the ranks of law firm BakerHostetler, which employs about 50 human lawyers just in its bankruptcy practice. The AI machine, powered by IBM's Watson technology, will serve as a legal researcher for the firm. It will be responsible for sifting through thousands of legal documents to bolster the firm's cases.

Like most things that are over-hyped, what is actually meant by the term is often lost in the noise. In this case that's really a shame, because these terms refer to at least two different things, either or both of which may be important in a given context. This post forms the basis of a lightning talk I'm giving (remotely) at the Real-time Big Data Meetup in Menlo Park, California. Generally, when I hear people talking about "machine learning from streaming data", they may be talking about a couple of things. These two phenomena sound like the same thing, but they are potentially very different.

It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. There is a lot of excitement around artificial intelligence, machine learning and deep learning at the moment. It is also an amazing opportunity to get on on the ground floor of some really powerful tech. I try hard to convince friends, colleagues and students to get started in deep learning and bold statements like the above are not enough. It requires stories, pictures and research papers.

Experts and futurists will argue endlessly about whether we're entering the anthropocene, an age in which creativity is the driving force (like agriculture or industry have been before), or a technology age, in which technology is the driving force. If the latter, we face an uncertain culmination to all this advancement. Will technology be the great equalizer (a topic I have covered in my post on'Automated Luxury Communism') or continue to widen the gap between the digital haves and have-nots? The Internet of Things is less about convenience than it is about commerce. Not only do companies sell us the gadget, but we continue to pay rent to the company by giving them our data, which they can mine to sell us more things, or sell the data itself to another company that wishes to sell us more things.

Leaders should always be asking themselves What's new?, What's next? and What's better?; that's where the future is. What technologies will drive the biggest changes in industries over the next 10 to 20 years and create the next economy? There are many that in combination will drive massive change across enterprises and all size of business. Specifically, I think 10 are essential, and shaping the industries of the future: drones, blockchain, big data, augmented reality, virtual reality, 3D printing, artificial intelligence, robots, internet of things, genetics. We will see them both in the consumer and enterprise domain; specifically in how we get stuff done, how we hire and how we collaborate.

As a marketer, it can sometimes seem like the work my engineering colleagues are doing is magic -- pure computer science sorcery. I mean, they're building a chatbot that can communicate using human language and learn from the conversations it's having. AI can be a tough topic to wrap your head around. And with all of the various branches -- machine learning, deep learning, natural language processing -- it's not a topic that you can hope to master by reading a single blog post. So the purpose of this post isn't to provide you with an exhaustive, engineering-degree-level understanding of AI.

A Robocop army taking over major military missions around the world is still far from being a reality, but that does not mean that the world's military powers are not working hard to make that scenario into reality as soon as they can. If you think that remotely controlled or semi-autonomous vehicles are too much to take, wait and see what the future of AI and IoT will deliver to those who seek to fight the battles of the future with "thinking machines". A recently published study, produced for the United States Department of Defence, explains that "there are both substantial operational benefits and potential perils associated with the use of autonomy." In a nutshell, AI gives the military an upper hand over its enemies, as long as those enemies do not have the same or more advanced technological capabilities, of course. On paper, having an AI military force provides advantages such as a reduction in the number of humans who may be in harms way – tell that to the unknown victims of US drone operations -, increased speed in the completion of those missions, and undoubtedly, autonomy.

Beauty pageants have always been political. After all, what speaks more strongly to how we see each other than which physical traits we reward as beautiful, and which we code as ugly? It wasn't until 1983 that the Miss America competition crowned a black woman as the most beautiful woman in the country. So what if we replaced human judges with machines? As shallow as the whole thing is, would a computer at least be able to see past skin colour and look at, potentially, more universal markers of attractiveness?