AI and robotics are going to shape our future. Next there are 10 issues that professionals and researchers need to address in order to desing intelligent systems that help humanity. The flow of misinformation together with our natural inability of perceiving reality based on evidence (a phenomenon called confirmation bias) is a threat to having an informed democracy. Russian hackers influencing the US elections, Brexit campaign and Catalonia crisis are examples of how social media can massively spread misinformation and fake news. It is an open question how institutions are going to address this threat. The scientific revolution in the 18th century and the industrial revolution in the 19th marked a complete change in society.

Artificial intelligence is the technology behind everything from self-driving cars to military drones. Last week, a new documentary premiered that focuses on both the benefits and the dangers of A.I. and features interviews with some of the tech world's greatest minds. "Do You Trust This Computer?" Watch the latest installment of "Note to Self," only on "CBS This Morning," HERE: http://cbsn.ws/1Sh8XlB Follow "CBS This Morning" on Instagram HERE: http://bit.ly/1Q7NGnY

Redwood City, Calif., April 16, 2018 – Informatica, the enterprise cloud data management leader, today announced the launch of its reimagined Enterprise Data Catalog with intelligent APIs and deeply enhanced AI algorithms, powered by the CLAIRE engine, for self-service data discovery by any line-of-business user. With new, intelligent APIs, users can have one-click access to the rich content of Enterprise Data Catalog from within their own applications. Developers can empower their applications with metadata intelligence and data recommendations. The AI-powered Enterprise Data Catalog intelligently scans and catalogs data assets across the enterprise and adds business context for understanding. It can identify domains and entities, such as customer, product, order, and more, providing seamless integration of all data with easy access and search capabilities.

Don't trust vendors' marketing materials to help you find a workable, accurate definition. "It's almost criminal, the use of these terms by the vendors today," says Kris Lovejoy, CEO of security firm …

Don't miss a chance to make your life easier and save money at the same time. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. If your weekend wasn't long enough either, I'm here to distract you with things to spend your hard-earned money on. Today, some of the best deals I could find on Amazon were for smart devices and tech gadgets that will make your life a little easier.

This week in IoT, Qualcomm reveals efforts to have its chips in every single device, with two new models specifically designed for connected devices. There was cause for celebration among internet of things (IoT) device manufacturers this week with news that a'semi-infinite' supply of rare Earth minerals was located off the coast of Japan. The deposit – located entirely within Japan's maritime boundaries – is believed to contain 16m tonnes of minerals necessary to build IoT devices, mobile phones and even electric vehicles. With China holding much of the world's supply right now, the discovery of another major source of rare Earth minerals could help manufacturers to avoid the knock-on effects of a trade war. Not content with cornering the Android smartphone market, Qualcomm revealed this week that it is launching two new systems-on-a-chip for IoT.

We share news, discussions, videos, papers, software and platforms related to text and data mining.

This has been a huge collaborative effort from all involved and it is important to thank the elected leadership and regulatory authorities in Delaware, Nevada and New Jersey for their dedication and diligence to help move online poker forward,

This is tough for five-year-olds, but I'll give it a shot for ten-year-olds. Like a lot of other machine learning algorithms, SVMs take some data to start with that's already classified (the training set), and tries to predict a set of unclassified data (the testing set). The data that we have often has a lot of different features, and so we can end up plotting each data item as a point in space, with the value of each feature being the value at a particular coordinate. Now (for two data features) what we want to do is find some line that splits the data between the two differently classified groups of data as well as we can. This will be the line such that the distances from the closest point in each of the two groups will be farthest away.

She sits patiently in millions of homes, an unremarkable cylinder commonly referred to as Alexa. But Amazon's new'virtual assistant' has been touted as nothing short of technological revolution. In response to spoken commands, she answers questions which previously required an internet search, can perform mundane domestic tasks such as turning on lights, and makes online purchases – through Amazon, obviously. Can it all be as innocent as it seems, particularly in an age rife with internet snooping? Some users have even reported'bone-chilling' cackles emanating from their speakers at random moments.