Huawei needs new tricks to differentiate its products from the crowd of Chinese phones permeating the US market, and it's turning to artificial intelligence to set it apart. The Mate 9 is a new Android device that offers a "Machine Learning Algorithm" that purports to learn your habits over time and optimize performance so that the device is more responsive. The Mate 9, which is expected to arrive in the US soon (although the exact timing is unknown), also has one of the largest displays on the market. We don't yet know how much it'll cost in the US, but we expect the Mate 9 to sell for about the same as it does in Europe (€699), which would make it slightly more affordable than other leading big-screen flagships too. That, along with the promised performance boost and supposedly safer battery tech, might be reason enough to consider the Mate 9 as your next large-screen smartphone.

Amazon could be about to launch its own British bricks-and-mortar supermarket where shoppers pay with their phone because it has no cashiers. The internet giant's business idea, called'Amazon Go', allows customers to grab the items they need and walk out without going to a till. A special phone or tablet app uses a range of sensors detecting what shoppers take off shelves and bills it to their Amazon account if they don't put it back. Shoppers use the app to enter the shop through a turnstile - and do the same when leaving with their food later. Amazon has registered a British trademark, paving the way for a potential launch in the country - but it has already built one in Seattle now being tested by staff.

Does every painter leave a fingerprint? Accurately distinguishing the artwork of a master from a forgery can mean a difference in millions of dollars. In the Painter by Numbers playground competition hosted by Kiri Nichol (AKA small yellow duck), Kagglers were challenged to identify whether pairs of paintings were created by the same artist. In this winner's interview, Nejc Ilenič takes us through his first place solution to this painter recognition challenge. His combination of unsupervised and supervised learning methods helped him achieve a final AUC of 0.9289.

Most media companies increasingly rely on data to inform their decision making processes on both strategic and tactical levels. Yet with the widespread adoption of the Internet of Things (IoT) and Artificial Intelligence the amount of data companies can potentially harvest is set to rocket. So what data should they be focusing on, and how should they use it to make judgements about the content they produce? Steffen Konrath is the CEO of Liquid Newsroom, a company that uses technology to power its data-driven approach to content marketing, which it claims helps companies grow their B2B prospect and client list. Here Steffen, who will be speaking at DIS 2017 on'why listening is so important to creating content strategies,' offers insight into how data will shape the future of publishing. He explains why he thinks that the value of data is higher than the value of content, why technology will change the way publishers approach real time events and what role journalists will have in media offices powered by Artificial Intelligence. Digital Innovators' Summit 2017 takes place from 19-21 March (main Summit on 20 and 21 March) in Berlin, Germany.

This story was delivered to BI Intelligence "Fintech Briefing" subscribers. To learn more and subscribe, please click here. IBM launched its IBM Watson for Cyber Security program in beta on Tuesday, and announced that it already has 40 clients signed up, including global leaders in the banking and insurance industries. Companies like Sun Financial and Sumitomo Mitsui Banking Corporation will test the ability of Watson -- IBM's artificial intelligence (AI) -- to identify and fight cyberattacks. Watson will help them more easily identify specific malware programs and provide background on known cybercrime campaigns, as well as more accurately pinpoint suspicious behavior.

For anyone that hasn't been hiding under a rock for the last few years, it's become abundantly clear that the largest IT firms on the planet are moving quickly to build up their capabilities in artificial intelligence. But the largest of them all, Apple Inc., has been the least public about its plans. A revelation about a closed-door meeting in Europe suggests that might change. Given Apple's fondness for secrecy, that's probably not going to reverse overnight. But a recent article in Quartz has revealed some of what's going on under the AI covers in the $500 billion-plus company.

In this special guest feature, Peter Cnudde, VP of Engineering at Yahoo, provides a bird's eye view for the many ways that Yahoo is using machine learning at scale. This concept is driven by the irrational, yet popular notion that one day, machines will take over the jobs of humans. As Vice President of Engineering for Yahoo, Peter oversees the company's big data and machine learning platforms. He is particularly interested in large scale machine learning and its impact on our society. In the past, Peter has worked at several wireless telecommunications companies including Alcatel and RF Micro Devices.

But an equally powerful motivator to create AI is to improve profits. These two goals can occasionally be at odds with each other. Currently, with AI becoming smarter and automation becoming more efficient, many in AI and government are worried about mass unemployment. But the results of mass unemployment may be even worse than most people suspect. A study released last year found that 1 in 5 people who committed suicide were unemployed. Another study found significant increases in suicide rates during recessions and the Great Depression.

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