You may have heard about the Donald Trump bot army and the Twitter bots that have influenced elections in Latin America, but there are other bots out there, bots that connect citizens to services, bots that plan to crowdsource the election of a president or act as your personal assistant in government. They're going to change civil society, how people interact with government, and the self-governance of free societies. Here are five example of bots that have already impacted or will impact democracy. Dirty Water VT sends a tweet each time a sewage spill occurs in the state of Vermont. Trib IL CampaignCash sends a tweet any time a campaign contribution is made above 1,000 in the state of Illinois.

Therefore, SendPulse will add Italian, French, German, Turkish, Simple Chinese, Indonesian, Korean, Japanese, Arabic, and by the way, Spanish (LatAmerica), Brazilian Portuguese localization. Currently we've used pre-launch product for English and Russian audience. In total we will be have 13 foreign language groups. The language detection are based on geolocation. The modeling technology is based on math method, behavioral analyses to find lookalike audiences (digital twins) to create on behavior models in consuming content, clicks, design, social demographics - the simple comparison will be Facebook Artificial Intelligence for native advertising.

'We have arrived,' the personal assistant announced as the automated share car pulled up outside Turing & Partners, one of London's best-known AI-powered law firms. Elon Turing looked up from his notes that were projected before him and got out at the curb on Gresham Street, not far from the Bank of England. It was very warm, as it always was these days, though there was a heaviness in the air that promised a thunder storm. Elon nodded to the car, which zipped away into the pollution free morning and disappeared into a sea of auto-taxis, self-driving buses and other share cars. He took a deep breath and marched up to the front door of the building. The door scanned his face and opened, greeting him politely as he walked into the cooled lobby. At the reception desk was Albert.

Pulling these threads together, recently a gaming AI defeated a US Air Force expert combat pilot in simulated combat.

Have you ever considered what real people actually do with the products of all of the innovation flowing from the IT industry? Sometimes, the answers are quite obvious. Shopify (NYSE:SHOP) essentially builds websites for mainly smaller businesses and facilitates credit card transactions. Silver Spring Networks (NYSE:SSNI) uses the technology of the IoT to facilitate the "intelligent city" and the "smart grid." Salesforce (NYSE:CRM) sells solutions that help companies manage both their sales people or agents and manage their customer interactions. Those and other solution sets are sold to rather obvious customers. But who actually buys and uses Big Data Appliances or Artificial Intelligence or advanced analytics. But in recent years, some financial services firms have tried to transform themselves from their roots as the providers of simple financial products used by consumers and business into what is known these days as Fintech. There are more than few such companies and perhaps at this point, there are companies with more aspirations as opposed to significant revenue. Equifax (NYSE:EFX) for many years has been known as one of the 3 major credit reporting agencies, the people who calculated your credit score using some arcane methodology. The business of selling credit scores to both business and consumers is hardly the most exciting in the world and has modest growth organic growth prospects in the US.

At WebRTC Argentina we covered a number of topics, including an introduction to WebRTC with coding demonstrations, demos of WebRTC use cases, and design/UX for WebRTC. We concluded the mini-conference with this talk, where we wanted to stretch people's minds a little bit about WebRTC. WebRTC is not simply about 1-1 video chats or business conferencing tools. WebRTC can be one part of larger technological change in our society, and in this talk we give updates on WebRTC in the short term as well as one vision for how WebRTC and Artificial Intelligence may intersect in the future. You can see the complete presentation below, and we've included the transcript below the video.

The workshop program at the Eleventh Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment was held November 14–15, 2015 at the University of California, Santa Cruz, USA. The program included 4 workshops (one of which was a joint workshop): Artificial Intelligence in Adversarial Real-Time Games, Experimental AI in Games, Intelligent Narrative Technologies and Social Believability in Games, and Player Modeling. This article contains the reports of three of the four workshops.

Civil unrest events (protests, strikes, and “occupy” events) are common occurrences in both democracies and authoritarian regimes. The study of civil unrest is a key topic for political scientists as it helps capture an important mechanism by which citizenry express themselves. In countries where civil unrest is lawful, qualitative analysis has revealed that more than 75 percent of the protests are planned, organized, or announced in advance; therefore detecting references to future planned events in relevant news and social media is a direct way to develop a protest forecasting system. We report on a system for doing that in this article. It uses a combination of keyphrase learning to identify what to look for, probabilistic soft logic to reason about location occurrences in extracted results, and time normalization to resolve future time mentions. We illustrate the application of our system to 10 countries in Latin America: Argentina, Brazil, Chile, Colombia, Ecuador, El Salvador, Mexico, Paraguay, Uruguay, and Venezuela. Results demonstrate our successes in capturing significant societal unrest in these countries with an average lead time of 4.08 days. We also study the selective superiorities of news media versus social media (Twitter, Facebook) to identify relevant trade-offs.

The 2015 conference continued the tradition with a selection of 6 deployed applications describing systems in use by their intended end users, 13 emerging applications describing works in progress, and three papers in a new category for challenge problems. In the first article, Activity Planning for a Lunar Orbital Mission, John Bresina describes a deployed application of current planning technology in the context of a NASA mission called LADEE (Lunar Atmospheric and Dust Environment Explorer). Bresina presents an approach taken to reduce the complexity of the activity-planning task in order to perform it effectively under the time pressures imposed by the mission requirements. One key aspect of this approach is the design of the activity-planning process based on principles of problem decomposition and planning abstraction levels. The second key aspect is the mixed-initiative system developed for this task, the LADEE activity scheduling system (LASS). The primary challenge for LASS was representing and managing the science constraints that were tied to key points in the spacecraft's orbit, given their dynamic nature due to the continually updated orbit determination solution. In our second article, Helping Novices Avoid the Hazards of Data: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Source, Sasin Janpuangtong and Dylan Shell describe an emerging application of an endto-end learning framework for large-scale data analytics that allows a novice to create models from data easily by helping structure the model-building process.

Cannes Lions this year saw the ad industry expanding its creative capabilities. Over 13,500 delegates from about 90 countries descended on Cannes again this year hoping for a Lion in one of 17 categories. With awards honoring work from design to creative data to radio, the ceremonies reflected a complex industry drawing on a broader range of creative disciplines than in the past, but also facing unprecedented challenges in making campaigns work across channels. "There's never been so many channels or points of interactions, or agencies working on various parts of that," said Keith Weed, chief marketing and communications officer at Unilever. "It's important to make sure the brand experience does not get fragmented."