Visitors to the Dubai World Trade Centre's five-day event were surprised to learn just how far cognitive reasoning, natural-language processing and bot AI have come, as they wandered through specially constructed Experience Zones at Microsoft's stand. Dubai Bot, a showcase demo developed by Microsoft Gulf, acts as a virtual tour guide for visitors to the emirate, giving them an AI source for all their travel needs. It can suggest restaurants and entertainment venues; museums and beaches; and ideal attractions for children, parents or the lone traveller. The bot also helps with the more formal aspects of travel, such as booking a taxi, advising on use of the Metro or giving up-to-the-second updates on currency exchange rates. All of this interaction is based on the bot's knowledge of the user's circumstances, such as their length of stay, age and whether they are travelling alone or in company.

For the majority of business leaders, cyber security risks are among their top overall challenges. With machine learning now coming to the forefront of technology it got me thinking about the comparisons to anti-biotics and superbugs that are becoming immune to those drugs. So these "thinking" computers have the ability to deal with the smaller attacks so the human defence can concentrate on the serious threats. This tiering process frees up valuable time and advises us when to get involved. This is all well and good but what happens when hackers are using the same machine learning methods to continually get one up on the security in place?

A London-based startup has combined some of today's most disruptive technologies in a bid to change the way we'll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes. When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. "On one side we have a fully automated production pipeline," Cam explained at a recent conference in London. With the emergence of more efficient printing technologies, he thought there must be a better way.

Major technology firms are racing to infuse smartphones and other internet-linked devices with AI software that help them think like people. Other than Amazon and Google, here are some other digital assistants on the market for both home and away. The South Korean electronics giant may be under fire for its faulty Note 7s, but it's hard at work to push for new tech, including purchasing the US start-up Viv Labs, launched by the creators of Apple's Siri. Samsung says the acquisition announced this month is part of its effort to provide AI-based voice assistance services its customers can use across all Samsung devices and products, from smartphones to televisions to washing machines. Apple's next challenge is to make Siri smarter as it plays catch-up with rivals' artificial intelligence Samsung is the world's leading maker of smartphones powered by Google's Android software, but also has its own Tizen mobile operating system, so how it may field its own virtual assistant technology remains to be seen.

SSSV 40.3 Philology is that venerable art which demands of its votaries one thing above all: to go aside, to take time, to become still, to become slow -- it is a goldsmith's art and connoisseurship of the WORD which has nothing but delicate, cautious work to do and achieves nothing if it does not achieve it lento .

Something quite concerning is happening right now that threatens to cause a monumental rift in the American public... and ultimately the world at large. Contrary to what you might be thinking, I'm not referring to our current election cycle, or anything else having to do with the common, petty politics of today. What I'm talking about is something far more consequential than any modern political squabble. It's something that promises to shake the foundations of society in a way we have never seen before. It is an event that virtually everyone in my field of study agrees is coming.

In his first trip to Japan as Apple CEO, Tim Cook painted a grand future for the artificial intelligence that will soon be developed in the company's Yokohama facility, telling Nikkei it will be "horizontal in nature, running across all products." Cook said new AI developments will transform the way people use their phones "in ways that most people don't even think about," helping with everything from increasing battery life in iPhones, to locating cars in a crowded parking lot. Cook sees an "incredible future ahead" as the smartphone industry matures, and other smart devices expand into new business and medical uses. In addition to Apple's opening its new Yokohama research and development center later this year, the company has partnered with IBM and Japan Post Holdings to develop iPad-based health care services for the elderly, with Cook pointing out that Japan's rapidly aging population put the country in the "best position to lead" in that area of innovation. The company has also strengthened its ties to Japan by including the country's Felica mobile payment standard in the iPhone 7, paving the way for expanding Apple Pay into Japan.

If you are modeling binomial data; ie a numerator consisting of the number of 1/0 successes you have for a given pattern of covariates, and a denominator that gives the value of the total number of observations having that covariate pattern (a specific profile of predictor values; eg age 23, married 1, working 0), a logistic regresson is generally appropriate. But when the mean values of the numerators are less than 10% of the mean values of the denominator, it is likely that a Poisson model is preferred. The otherwise logistic numerator is the count response variable (dependent variable) and the natural log of the denominator is the offset. Generally the Poisson model will fit the data better. Logistic models are not indended for rare occurrences.

Machine Learning is considered as the practical face of Artificial Intelligence. In another word, it's a type of AI that provides computers with the ability to learn without being explicitly programmed. As the AI market is booming, let's take a look at where these geniuses are the most sought after in the UK. London is breaking the chart with a total of 856 Machine Learning-related jobs advertised at the moment, which is more than half the total amount of Machine Learning jobs in the whole of the UK. Eastern England and South East England follow the capital, both respectively looking to hire 142 and 133 Machine Learning specialists over the same period.

This week in San Diego, Singularity University hosted its annual Exponential Medicine conference. The conference aims to connect the dots between healthcare disciplines and cutting-edge tech by convening medical practitioners, technologists, entrepreneurs, and over 80 expert speakers from the field. It's easy to say "healthcare is broken" and call it a day, but a quote from brilliant thinker Maria Popova reminds us of the power of optimism to create change: There's still considerable work to be done to create more effective healthcare systems in the US and worldwide. That said, at the conference we learned about incredible progress we can both celebrate and focus on moving forward. Healthcare as we've known it for decades is evolving.