Artificial intelligence is disrupting everything from board games to the betting industry--but how about one of the world's oldest beverages? London-based IntelligentX is the world's first firm to brew beer with the help of artificial intelligence. The startup is using an algorithm called Automated Brewing Intelligence (ABI) to collect customer feedback data through a Facebook Messenger bot in order to improve the recipes of its beer. "Over the last six months we've iterated the algorithm and improving the algorithm and improving the beers," Hew Leith, co-founder of IntelligentX, tells Newsweek. Four beers have been created to date--Golden AI, Amber AI, Pale AI and Black AI--all of which are brewed along the Bermondsey Beer Mile in London.

Kevin Townsend is a Senior Contributor at SecurityWeek. He has been writing about high tech issues since before the birth of Microsoft. For the last 15 years he has specialized in information security; and has had many thousands of articles published in dozens of different magazines – from The Times and the Financial Times to current and long-gone computer magazines.

For a field supposedly starved of talent, data science seems to have been minting a lot of new experts in a hurry. The depth of interest was on display this week in San Francisco, where 1,600 people turned up for a data science summit organised by Turi, a company run by University of Washington machine learning professor Carlos Guestrin. Mr Guestrin argues that all software applications will need inbuilt intelligence within five years, making data scientists -- people trained to analyse large bodies of information -- key workers in this emerging "cognitive" technology economy. Whether or not he is right about the coming ubiquity, there is already a core of critical applications that depend on machine learning, led by recommendation programmes, fraud detection systems, forecasting tools and applications for predicting customer behaviour. The adaptation of what was until recently the preserve of research scientists into production-grade business applications could point to a profound change in corporate competitiveness. The companies showing off their skills in data science and machine learning at the Turi event -- including Uber, Pinterest and Quora -- were all born in the digital era.

For the past year, Tara Hutchinson has been trying to figure out what will happen to a tall building made from thin steel beams when "the big one" hits. To do that, she has erected a six-story tower that rises like a lime-green finger from atop a shrub-covered hill on the outskirts of San Diego, California. Hundreds of strain gauges and accelerometers fill the building, so sensitive they can detect wind gusts pressing against the walls. Now, Hutchinson just needs an earthquake. In most of the world, this would be a problem.

A team of scientists has developed a model that can predict bat species most likely to transmit Ebola and other filoviruses. Findings highlight new potential hosts and geographic hotspots worthy of surveillance. So reports a new paper in the journal PLoS Neglected Tropical Diseases. Filoviruses have devastating effects on people and primates, as evidenced by the 2014 Ebola outbreak in West Africa. For nearly 40 years, preventing spillover events has been hampered by an inability to pinpoint which wildlife species harbor and spread the viruses.

Cisco is just wrapping up its annual CiscoLive customer event. This year's proceedings took over Las Vegas, occupying the Bellagio, Luxor, Mandalay Bay, and MGM Grand hotel. At least for this week, Cisco was bigger in Vegas than Wayne Newton, Steve Wynn and even Carrot Top. While digital transformation served as the main theme at CiscoLive, cybersecurity had a strong supporting role throughout the event. For example, of all of the technology and business initiatives at Cisco, CEO Chuck Robbins highlighted cybersecurity in his keynote presentation by bringing the GM of Cisco's cybersecurity business unit (David Goeckeler) on stage to describe his division's progress.

Data scientists have been called "unicorns" because finding the right person with the right set of skills -- including coding, statistics, machine learning, database management, visualization techniques, and industry-specific knowledge -- could be practically impossible. But machine learning and big data itself may be making those unicorns as obsolete as they are mythical. New machine learning algorithms can autonomously analyze data and identify patterns, even interpret the data and produce reports and data visualizations. While most people can see how certain information would be useful and what sort of insights might be derived from it, most lack the technical skills to perform the analytics. They might not have the computers that are able to carry out the large volume of calculations quickly enough to take action, but more often they lack the analytical skills to tell that computer what to do. Natural Language Processing (NLP) technologies can help to break down the barriers to widespread use of data analytics by making complex analytics possible to just about anyone, regardless of their technical ability.

"Everybody uses pinch and zoom, because it's easy to remember," Sang Won Lee, CEO of a gesture control company called Qeexo told Digital Trends. "The reason we don't use three- or four-finger gestures is because we can't remember what they do -- but you can probably hold a computer mouse with your eyes closed, right?" Try making that shape with your hand right now, and we're pretty sure you'll succeed. Now imagine using that same gesture to summon up a virtual mouse on the screen of your tablet; or in the future, an interactive tabletop, complete with left and right buttons, and that always-helpful scroll wheel. Such natural movements could transform the way we interact with touchscreens, especially large ones.

The PokemonGo Bot helps you Catch'Em All. For now, say'Hi' and it will help you fight gym battles. You will soon be able to find locations of awesome Pokemons, Gyms and Pokestops around you. There will also be special tips and tricks to CatchEmAll. Like the Facebook page PokemonGoBot to get updated on release of new features.

In the last 15 years, eBay grew from a simple website for online auctions to a full-scale e-commerce enterprise that processes petabytes of data to create a better shopping experience. When the user searches for a product, how do we find the best results for the user? One factor used in product ranking is user click-through rates or Product sell-through rate. In addition, user behavioural data gives the link from a query, to a product page view, and all the way to the purchase event. Through large-scale data analysis of query logs, we can create graphs between queries and products, and between different products.