China will unveil a slate of policies, including tax cuts and setting up national artificial intelligence innovation centers, to beef up support for AI and clear legal risks, local media reported. The Ministry of Industry and Information Technology is teaming up with other ministries and related departments to draft new policies to better cultivate the AI industry, Economic Information Daily reported on Thursday. Favorable tax policies will be rolled out to encourage small and medium-sized enterprises that are working on AI. More efforts will also be made to open government data and experiment with new ways to tap into data, the report said. Meanwhile, new policies will be unveiled to channel more resources into AI research, in the hope of advancing innovation capability.

Yoo's departure comes as Uber is involved in a high-stake lawsuit filed by Alphabet Inc's Waymo that threatens the company's self-driving car business while Uber is also struggling to overcome allegations of sexual harassment and executive misconduct.

MarHub is a new chatbot developed by students at the University of California-Berkeley's Haas School of Business to help asylum seekers through the complicated process of applying to become an official refugee – which can take up to 18 months – and to avoid using smugglers. Finding the right information for the asylum process isn't easy, and although most asylum seekers are in possession of a smartphone, a lot of the information is either missing or out of date. MarHub is designed to help with that, as it will walk the user through what they can expect and also how to present their case. MarHub is also expandable, so that new information or regulations can be quickly added to make it a hub of useful information. The concept of MarHub was born in late 2016, in response to the Hult Prize social enterprise challenge, which was focusing on refugees for 2017.

This press release includes information that constitutes forward-looking statements made pursuant to the safe harbor provision of the Private Securities Litigation Reform Act of 1995, including statements about Amdocs' growth and business results in future quarters. Although we believe the expectations reflected in such forward-looking statements are based upon reasonable assumptions, we can give no assurance that our expectations will be obtained or that any deviations will not be material. Such statements involve risks and uncertainties that may cause future results to differ from those anticipated. These risks include, but are not limited to, the effects of general economic conditions, Amdocs' ability to grow in the business markets that it serves, Amdocs' ability to successfully integrate acquired businesses, adverse effects of market competition, rapid technological shifts that may render the Company's products and services obsolete, potential loss of a major customer, our ability to develop long-term relationships with our customers, and risks associated with operating businesses in the international market. Amdocs may elect to update these forward-looking statements at some point in the future; however, the Company specifically disclaims any obligation to do so.

ST. LOUIS September 12, 2017 Amdocs (NASDAQ: DOX), a leading provider of software and services to communications and media companies, is launching Smartbot, an artificial intelligence (AI) and machine learning-based bot that enables digital service providers (DSPs) to provide customer care, sales and marketing engagements to even the most discerning millennial. Amdocs Smartbot with Microsoft Cognitive Services, specifically Microsoft Language Understanding Intelligent Service and Text Analytics API, provides leading DSPs with the ability to transform how they deliver highly personalized, self-service interactions with customers that are simple, quick and helpful. As an Amdocs commissioned global study1 that surveyed over 7,000 consumers and enterprises today revealed, bots lack the intelligence and emotional awareness to address complex consumer issues and must evolve from rules-based bots to AI smartbots. Amdocs' new Smartbot addresses this gap as it is integrated with industry domain knowledge of DSP best practices and business processes. Also, with Amdocs Smartbot's deep integration with the service provider's core information systems such as CRM, order management and product catalog, DSPs can now see a 360-degree view of the customer and understand the context of the interaction, enabling them to grow care-to-commerce revenue by making more relevant predictive care and promotional offers to customers.

Argumentation is an active area of modern artificial intelligence (AI) research, with connections to a range of fields, from computational complexity theory and knowledge representation and reasoning to philosophy and social sciences, as well as application-oriented work in domains such as legal reasoning, multi-agent systems, and decision support. Argumentation frameworks (AFs) of abstract argumentation have become the graph-based formal model of choice for many approaches to argumentation in AI, with semantics defining sets of jointly acceptable arguments, i.e., extensions. Understanding the dynamics of AFs has been recently recognized as an important topic in the study of argumentation in AI. In this work, we focus on the so-called extension enforcement problem in abstract argumentation as a recently proposed form of argumentation dynamics. We provide a nearly complete computational complexity map of argument-fixed extension enforcement under various major AF semantics, with results ranging from polynomial-time algorithms to completeness for the second level of the polynomial hierarchy. Complementing the complexity results, we propose algorithms for NP-hard extension enforcement based on constraint optimization under the maximum satisfiability (MaxSAT) paradigm. Going beyond NP, we propose novel MaxSAT-based counterexample-guided abstraction refinement procedures for the second-level complete problems and present empirical results on a prototype system constituting the first approach to extension enforcement in its generality.

This is an actual rule. In 2011, British photographer David Slater was photographing a troop of macaques when Naruto, a six-year-old, smiled into Slater's lens, pressed the shutter button, and captured this toothy selfie: After going viral and popping social media metrics rivaling Ellen DeGeneres' Oscar-selfie, the photo was posted on Wikipedia. Slater fired off a cease-and-desist letter, but Wikipedia refused to take down the photo because a monkey, not a human, created it. PETA jumped into the fray and sued Slater to establish Naruto's ownership of his selfie. A recent settlement – in which Slater will donate a portion of future royalties to conservation charities – mooted the Ninth Circuit appeal.

If you imagined the skies of California would someday be buzzing with drones carrying tiny vials of pot or edibles for recreational marijuana users, think again because that stoner fantasy was just a pipe dream. California's Bureau of Cannabis Control last week outlined its plans to ban pot delivery by drone, putting the kibosh on any business hoping to make a buck on the concept. On Wednesday, the bureau released an initial study describing proposed emergency regulations for commercial cannabis businesses ahead of Jan. 1, when marijuana sales, with proper retail licensing, will be allowed for recreational use in California. In its study -- Commercial Cannabis Business Licensing Program Regulations -- the bureau is clear: Marijuana must be transported in trailers or commercial vehicles. If the message was lost, the bureau goes a bit further: "Transportation may not be done by aircraft, watercraft, rail, drones, human-powered vehicles or unmanned vehicles."

Michal Kosinski – the Stanford University professor who went viral last week for research suggesting that artificial intelligence (AI) can detect whether people are gay or straight based on photos – said sexual orientation was just one of many characteristics that algorithms would be able to predict through facial recognition. Kosinski, an assistant professor of organizational behavior, said he was studying links between facial features and political preferences, with preliminary results showing that AI is effective at guessing people's ideologies based on their faces. That means political leanings are possibly linked to genetics or developmental factors, which could result in detectable facial differences. Facial recognition may also be used to make inferences about IQ, said Kosinski, suggesting a future in which schools could use the results of facial scans when considering prospective students.

A Stanford University expert has claimed that computer programmes will soon be able to guess your political leaning and IQ based on photos of your face. Dr Michal Kosinski went viral last week after publishing research suggesting artificial intelligence (AI) can tell whether someone is straight or gay based on photos. Now the psychologist and data scientist has claimed that sexual orientation is one of many character traits the AI will be able to detect in the coming years. Stanford researcher Dr Michal Kosinski went viral last week after publishing research (pictured) suggesting AI can tell whether someone is straight or gay based on photos. AI-powered computer programmes can learn how to determine certain traits by being shown a number of faces in a process known as'training'.