Mob storm police station and lynch suspected paedophile Three pen tricks explained in this amazing magic tutorial Barron Trump clapping during his father's appearance at RNC Clingy fox! Hilarious moment guy meets fox on his way home Raging bull destroys car with horns at Spanish festival Angry Trump supporter goes on wild'racist' rant inside store Hilarious moment baby boy joins in with twerking girls Road rage attack shows driver smashing lorry window with spade 100 special police agents protect suspected paedophile from mob Hotel guests film as wildfires surround the Park Vista Hotel Donald Trump supporter berates'Hillary B*****s' on plane Dad-to-be cries happy tears after surprise pregnancy announcement

Why the left is ALWAYS a man's best side: Researchers find females really do see the world differently and have a'left side bias' when analysing faces Study finds women focus on the left sided features of a person's face Women also have a strong left eye bias when viewing faces Findings suggest women and men vary in how they maintain eye contact Study finds women focus on the left sided features of a person's face The team from the university used an eye tracking device on 405 participants for over a five week period. Women's health at risk as researchers fail to consider... Does this look like a lizard on Mars? UFO hunter claims to... Why you should never go to bed angry: Bad memories are... Meet your housemates: Incredible images show the PARASITES... Women's health at risk as researchers fail to consider... Does this look like a lizard on Mars? UFO hunter claims to... Why you should never go to bed angry: Bad memories are... Meet your housemates: Incredible images show the PARASITES... Using an eye tracking device, a team of experts discovered women and men perceive faces differently, as females focus more on left sided features and have a strong left eye bias. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.

Machine Learning and Haute Couture may not be what you expect to hear in the same sentence. But can Machine Learning help the creative side of fashion? There are plenty of examples where machine learning is applied within fashion retailing to do predictive stock assortments, trend forecasting and much more, but I was interested in the more creative side of fashion. One example is Google's Muze project. It hasn't exactly received universal acclaim and OMG! personally I would not be seen dead in it!

The rising popularity of text messaging applications among users of digital products, which convinces us that the dialogue text-based interfaces are the future: fast, familiar and intuitive. The availability of open Application Programming Interfaces (APIs), that banks in Europe will be forced to provide for third parties after passing of the second Payment Services Directive (PSD2) by the European Union Commission on 8 October 2015. APIs are standards of direct communication between various pieces of software, for example between banks and retailers systems. This is important not only for financial institutions, but for e-commerce as well. The rising popularity of text messaging applications among users of digital products, which convinces us that the dialogue text-based interfaces are the future: fast, familiar and intuitive. The availability of open Application Programming Interfaces (APIs), that banks in Europe will be forced to provide for third parties after passing of the second Payment Services Directive (PSD2) by the European Union Commission on 8 October 2015.

Automation and artificial intelligence are no longer hype, but reality – the Fourth Industrial Revolution has begun! Over the next 3-5 years, combining advances in simple, easily configurable RPA technology with cognitive capabilities will lead to the cost reductions, improved performance and enhanced real-time decision making that all adds up to massive competitive advantage. RPA and Artificial Intelligence for Enterprise unites the needs of the 250,000-strong SSON and PEX Network communities to bring together those furthest along the maturity curve in automated and intelligent service innovation, like Vodafone, Barclays, ENGIE and even NHS Wales Shared Services, with those who are just starting out, like SAB Miller, LV and National Grid, for a frank and open discussion surrounding the best ways to compete in the digital business era. Combining scores of practical end-user case studies, multiple conference streams surrounding human workforce augmentation across the front and back-offices and over 15 hours of interactive sessions and networking, this is your one-stop shop for ensuring you build the value-adding, scalable, intelligent processes that meet the business needs of the future.

Last week saw a number of interesting events in Europe, including Big Data Spain in Madrid and GOTO in Berlin. Both had presence from key industry figures and organizations, were well-attended (in the range of 1000 participants give or take), well-organized, and forward-looking. The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. And both highlighted in a very real way the advent of AI in the lives of everyday technical and business people, reflected in the program of the events and the interest AI-related topics attracted. For most however, AI remains elusive and/or misunderstood.

When you think about artificial intelligence (AI), robots, androids and other futuristic technologies may come to mind. And while some of the most successful tech companies like Facebook, Amazon and Google have built their success on industry-changing applications of artificial intelligence, the concept is still fairly new to content marketing teams. In the most basic sense "artificial intelligence" broadly refers to the processes and technologies that are created to teach machines to perform intelligent tasks. For content marketers, "intelligent tasks" typically refer to algorithms designed to process data. This goes far beyond automation, which is where the majority of marketing technology supports marketing teams today.

There is an ongoing race among semiconductor companies, including the established market heavyweights and startups alike, to define the hardware platform that will run compute-intensive deep learning algorithms quickly and efficiently. Until now, NVIDIA has dominated the deep learning market with its graphics processor unit (GPU) chips, which bring massive parallelization, however field programmable gate arrays (FPGAs) and digital signal processors (DSPs) are starting to catch up. Deep learning is largely characterized by deep neural networks (DNNs) and convolutional neural networks (CNNs), which can become massively complex. Google's cat recognition neural network back had 1 billion connections using 16,000 processors. GPUs are known to achieve the best speed and throughput, around 100x faster compared to an FPGA, while FPGAs are known to have better power efficiency, around 50x better compared to a GPU.

How artificial intelligence is transforming the legal profession The future of the legal profession began 20 years ago. The technology boom was just beginning with the emergence of email and personal computers. Jay Leib was working for Record Technologies Inc. as director of software sales and training in 1999, and the company was scanning documents into databases for clients. At one point the company printed and scanned legal documents related to a lawsuit with Microsoft. Leib thought that was inefficient, a waste of time and paper. So he and his business partner, Dan Roth, decided to create a program that would help lawyers manage electronic documents for litigation. Their idea led them to purchase an e-discovery application. By 2000, Leib and his partner launched their own creation, Discovery Cracker. "We saw a gap in the marketplace," Leib says. Lawyers need tools to keep up with it." Instead of wading through piles of paper, lawyers now deal with terabytes of data and hundreds of ...

The world's first robot vacuum was a scam. Whirlpool and RCA built it for the 1959 American National Exhibition in Moscow to fool the Soviets into thinking that America was really like the Jetsons. In reality, the "robot" was controlled remotely by engineers hiding in a control room. Today, robot vacuums are real--and they're some of the hottest gifts for 2016. But if you buy the wrong one--or pay too much--you could also be fooled, just like the Soviets.