In this paper, we explore the relationship between an individual's writing style and the risk that they will engage in online harmful behaviors (such as cyberbullying). In particular, we consider whether measurable differences in writing style relate to different personality types, as modeled by the Big-Five personality traits and the Dark Triad traits, and can differentiate between users who do or do not engage in harmful behaviors. We study messages from nearly 2,500 users from two online communities (Twitter and Reddit) and find that we can measure significant personality differences between regular and harmful users from the writing style of as few as 100 tweets or 40 Reddit posts, aggregate these values to distinguish between healthy and harmful communities, and also use style attributes to predict which users will engage in harmful behaviors.

There's a lot of talent in the guard and reserve forces that the Department of Defense (DOD) could be using but is not aware of such as reservists in their civilian jobs might be working on cloud computing, software engineering, cybersecurity, or any number of other in-demand skills, according to Scott Sumner, technical project manager at the Defense Innovation Unit's Artificial Intelligence/Machine Learning Portfolio. The DOD is hampered in its efforts to locate these individuals because it does not possess the resources necessary to do so. The department will be able to look for the appropriate matches with the assistance of Gig Eagle's AI-powered app. The platform will take into consideration the reservist's skill preferences as well as the biographical information that they enter the app, including their existing skill sets. The algorithm that controls the AI will focus on terms that are similar and imply or infer a specific talent or expertise.

Members of the Reserve and National Guard are highly skilled across a variety of private-sector industries and have the potential to make substantial contributions to Defense Department missions, a DOD official said. The problem is, the department is not always aware of that talent, said Scott Sumner, technical project manager at Defense Innovation Unit's artificial intelligence/machine learning portfolio. For example, reservists in their civilian jobs might be working on cloud computing, software engineering, cybersecurity or any number of other in-demand skills. The department has no way to find them or to know that those skills even exist, he said. That could soon change, Sumner said.

The key ingredient, the experts say, is 5G. It gives developers the ability to scale up projects more easily because there's no need to build extensive fiber-optic networks to keep data flowing. What's more, 5G networks let internet-connected devices transmit much more information much more quickly--which in turn is spurring developers to come up with more advanced machines that can take maximum advantage of the capability. "5G in the field, in real-world deployments, enhances the value of all these other technologies," says Bill Menezes, a senior principal analyst at information-technology research and advisory firm Gartner Inc. Here's a look at early examples of what is possible when these technologies are yoked together: In the food industry, AI is already being used to track supply chains and ingredient quality, sort produce and even create taste profiles to target specific demographics. And the technology is poised to take on ever more complex tasks as it links up with 5G and networks of online-capable devices known as the Internet of Things.

For retail IT leaders, it's become difficult to ignore two emerging technology trends: artificial intelligence and augmented reality. Hardly a week goes by without a headline on how retailers can use AI and AR to engage with customers and make their shopping experiences more immersive and personalized. Just last week, clothing chain Zara said it would introduce AR displays in its stores starting in April. Reuters reports that it will show "models wearing selected looks from its ranges when a mobile phone is held up to a sensor within the store or designated shop windows, with customers able to click through to buy the clothes." Before retailers make significant investments in these emerging technologies, they need to ensure that have defined a problem they want to solve with the new tech, retailers and IT experts say.

Over the past year firms like AggregateIQ and Cambridge Analytica have been credited with using AI-targeted ads on social media to help swing the Brexit referendum and the US presidential election respectively. But a lack of evidence meant we have never known whether the technology exists to make this possible. Now the first study detailing the process from start to finish is finally shedding some light. "This is the first time that I've seen all the dots connected," says Joanna Bryson, an artificial intelligence researcher at the University of Bath, UK. At the heart of the debate is psychographic targeting – the directing of political campaigns at people via social media based on their personality and political interests, with the aid of vast amount of data filtered by artificial intelligence.

Over the past year firms like AggregateIQ and Cambridge Analytica have been credited with using AI-targeted ads on social media to help swing the Brexit referendum and the US presidential election respectively. But a lack of evidence meant we have never known whether the technology exists to make this possible. Now the first study detailing the process from start to finish is finally shedding some light. "This is the first time that I've seen all the dots connected," says Joanna Bryson, an artificial intelligence researcher at the University of Bath, UK. At the heart of the debate is psychographic targeting – the directing of political campaigns at people via social media based on their personality and political interests, with the aid of vast amount of data filtered by artificial intelligence.