The user interfaces of the future cannot be imagined without an emotion-sensitive modality. More ways other than plain speech are used for communication. Spatial, temporal, visual and vocal cues are often forgotten in computer interfaces. Each cue relates to one or more forms of nonverbal communication that can be divided into chronemics, haptics, kinesics, oculesics, olfactics, paralanguage and proxemics (Tubbs, 2009), relating to certain activities of a human body, voice or gazing. Unfortunately, modern computer-based user interfaces do not take full advantage of nonverbal communicative abilities, often resulting in a much less than natural interaction.

The results are a little different to those obtained using RMSE as the objective function. The focus is still well and truly on the volatility indicators, but in this case the best cross validated performance occurred when selecting only 2 out of the 15 candidate variables. Here's a plot of the cross validated performance of the best feature set for various numbers of features: The model clearly performs better in terms of absolute return for a smaller number of predictors. Performance bottoms at 8 predictors and then improves, but never again achieves the performance obtained with 2-4 predictors. This is consistent with Aronson's assertion that we should stick with at most 3-4 variables otherwise overfitting is almost unavoidable.

March is a reluctant beginning of spring. After suddenly getting warmer, the weather has turned cold again. Yesterday, the friend circle of Wechat was full of a breaking news that the Google's artificial intelligence AlphaGo beat human Go champion Lee Sedol. Or at least it was a temporary lead because there will be several rounds in following days. The news was a headline because it was related to the debate on whether artificial intelligence could defeat human brain.

Tricentis Accelerate 2016 is a must-attend conference for businesses that value enterprise software test automation solutions. This two-day event provides exciting opportunities to network, discuss, and learn best practices from industry leaders. Infosys is a Platinum sponsor at the event. Our leaders will be conducting a session to highlight the benefits of test automation for modern enterprises. What's more, we will also be available at our booth to give you details about our solutions in this space and outline how we have enabled companies using software testing, automation, and Zero Distance to improve efficiencies and reduce costs.

Wondering what we these numbers are? These stats depict the active users, of the above mentioned social media platforms, globally. This basically means that almost everyone is active on some or the other social media platform at a given point of time. Social Media is giving voice to the general mass. People discuss issues, debate, opine and review.

You already know that machine learning is essentially a form of data analytics, but where did it come from and how has it evolved to become what it is today? In the past couple of decades, we have seen a rapid expansion and evolution of information technology. In 1995, data storage cost around 1000/GB; by 2014 that cost had plummeted to 0.03/GB . With access to larger and larger data sets, data scientists have made major advances in neural networks, which have led to better accuracy in modeling and analytics. As we mentioned earlier, the combination of data and analytics opens up unique opportunities for businesses.

During the christmas vacation of 2015, I got a motivational boost again and decided try out Kaggle. So I spent quite some time experimenting with various algorithms for their Homesite Quote Conversion, Otto Group Product Classification and Bike Sharing Demand contests. The main takeaway from this was the experience of iteratively improving the results by experimenting with the algorithms and the data. I learned to trust my logic when doing machine learning. If tweaking a parameter or engineering a new feature seems like a good idea logically, it's quite likely that it actually will help.

Some 40 years ago, a long-running series of iconic TV commercials featured the E.F. Typically in a crowded setting like a party or on an airplane, someone would mention that his broker was E.F. Suddenly there was dead silence; no one moved a muscle. Hutton talks, people listen," the announcer intoned. When it comes to computer science, we tend to pay particularly close attention to those we regard as experts and visionaries in the field.

A company can spend all the funds it wants on the latest cybersecurity technology, like firewalls, threat detection, artificial intelligence and machine learning tools, but there is one security risk that can't blocked from entering the company networks: the employee. Whether they're being coerced into doing do it or not an employee could actively be working with hackers and cybercriminals to let them inside in your network. But in many cases it's a lax or ill-informed attitude to cybersecurity by staff which is potentially putting organisations at risk, with employees falling victim to phishing one of the major reasons that data breaches occur. "The human operating system is a challenge in itself, we know human beings are the weakest link" says Philipp Amann, head of strategy at Europol's European Cybercrime Centre (EC3). And the problem is only going to become trickier to solve because people are becoming more connected than ever, offering hackers additional opportunities to find that one weakness that allows them access.

If'big data' was the phrase du-jour in 2015, I propose that in 2016 it will be'artificial intelligence' – or'AI' if you're really cool. AI combines all the efficiency and futuristic promise of robotics and takes them to the next level, where they are able to seem more like super human beings than toys leftover from the 1960's. Be careful, though, before you make assumptions about what AI really offers to an organization. It doesn't have to lead to something as extreme as having a CEO-script running the company. In fact, AI might actually present an opportunity to bring more people into an organization rather than less.