Ottawa, Canada) – Tilia Labs, Inc., a leading developer of planning, imposition, and Artificially Intelligent automation software solutions for the graphic arts industries, is showcasing its latest solutions across the full range of print applications in the Graphic & Wide Format, and Commercial & Packaging zones at PRINTING United 19 (Dallas, TX, Oct 23-25). Co-exhibiting with three key technology partners – Enfocus, Gerber Technology, and Screen Americas – the company emphasizes how its vendor-agnostic approach delivers solutions to suit any production scenario or equipment lineup. With Enfocus, Booth 11947, Tilia Labs shows its full range of latest product developments, including Griffin 2.1 featuring new functionality for leading cutting tables, the brand-new Aries step-and-repeat solution for label producers, and the latest advances in the flagship tilia Phoenix technology. Phoenix 7.0 comes fresh from receiving a 2019 InterTech Award at PRINT19 in recognition of its innovative approach to planning and imposition in operating according to machine and production requirements, rather than using templates. This enables Phoenix to generate print-ready layouts, JDF or die instructions and production reports, on-the-fly.

Arnold Schwarzenegger means it when he says: "I'll be back," but not everyone is thrilled there's a new Terminator film out this week. In labs at the University of Cambridge, Facebook and Amazon, researchers fear Terminator: Dark Fate could mislead the public on the actual dangers of artificial intelligence (AI). AI pioneer Yoshua Bengio told BBC News he didn't like the Terminator films for several reasons. "They paint a picture which is really not coherent with the current understanding of how AI systems are built today and in the foreseeable future," says Prof Bengio, who is sometimes called one of the "godfathers of AI" for his work on deep learning in the 1990s and 2000s. "We are very far from super-intelligent AI systems and there may even be fundamental obstacles to get much beyond human intelligence."

Not every remix is an innovation: A network perspective on the 3d-printing community. Is the Maker Movement Contributing to Sustainability? Makers' ambitions to do socially valuable things. An empirically informed taxonomy for the Maker movement. DOI: 10.1007/978-3-319-41267-2_35 Misuraca G., Kucsera, C., Lipparini F., Voigt C., and Radescu R., (2015) ''Mapping and Analysis of ICT-enabled Social Innovation initiatives promoting social investment in integrated approaches to the provision of social services, European Commission's Joint Research Centre, IPTS (Technical Reports).

The Geographical Information Science Research UK conference series is the largest UK GIS conference, established in 1993. The conference encourages extended abstract submissions from those interested in GIS and its applications from all parts of the UK, the EU and beyond. The conference theme this year is AI and Urban Analytics. In recent years, AI has re-emerged as the hot topic in science and technology. This new form of AI, built around a number of key enabling technologies, is beginning to see applications across the geospatial sciences.

A few years ago, Paul Allen, the co-founder of Microsoft, published the results of something called the Great Elephant Census, which counted all the savanna elephants in Africa. What it found rocked the conservation world: In the seven years between 2007 and 2014, Africa's savanna elephant population decreased by about a third and was on track to disappear completely from some African countries in as few as 10 years. To reverse that trend, researchers landed on a technology that is rewriting the rules for everything from our household appliances to our cars: artificial intelligence. AI's ability to find patterns in enormous volumes of information is demystifying not just elephant behavior but human behavior -- specifically poacher behavior -- too. "AI can process huge amounts of information to tell us where the elephants are, how many there are," said Cornell University researcher Peter Wrege. "And ideally tell us what they are doing."

Banks love to brag about how many data scientists they're hiring and their shiny machine-learning "centers of excellence." In the 2018 JP Morgan Chase annual report, CEO Jamie Dimon said the company had gone "all in" on artificial intelligence, adding that artificial intelligence and machine learning were "being deployed across virtually everything we do." Not to be outdone, HSBC has opened multiple "data and innovation labs" around the world, in order to build artificial intelligence tools that can take in the bank's more than 10 petabytes of data. Citigroup, Bank of America, and Capital One also boast about their artificial intelligence capabilities, particularly to their would-be investors. Of course, some of this is hype: Banks believe they can get a certain brand patina from looking and acting like tech companies.

Today, Robots are evolving fast and are getting far smarter than we had ever imagined. However, there is a big role that which Machine Learning and machine perception together play, in the overall advancement of this technology. Developments in machine perception, which is the next stage of Machine Learning, could be very fascinating for the entire field of intelligent robotics. If you compare the modern robots with their predecessors from just a decade ago, the modern robots are extremely adaptable and intelligent. The biggest factor that has differentiated robots from humans throughout the dawn of technology, is the fact that humans can learn from their experiences.

Washington DC [USA], Oct 25 (ANI): Do you also face trouble while selecting clothes and seeking fashion advice? Seems like your phone will be your helping hand soon. A University of Texas at Austin computer science team, in partnership with researchers from Cornell Tech, Georgia Tech, and Facebook AI Research, has developed an artificial intelligence system that can look at a photo of an outfit and suggest helpful tips to make it more fashionable. Suggestions may include tweaks such as selecting a sleeveless top or a longer jacket. "We thought of it like a friend giving you feedback," said Kristen Grauman, a professor of computer science whose previous research has largely focused on visual recognition for artificial intelligence.

Nesta Challenges' Longitude Explorer Prize (LEP) engages young people across the UK to think about innovative solutions to society's biggest issues. This year, we're inspiring 11 - 16 year olds to develop an understanding of Artificial Intelligence (A.I.) & how it's impacting the World. Pop along to the Swansea Science Festival - for the chance to find out how to get involved in the Longitude Explorer Prize - the Nesta team will be on hand to chat over interactive fun activities and refreshments.

Twitter co-founder Biz Stone has spoken about his decision to invest in artificial intelligence as part of a project which aims to create "a new type of media". Mr Stone was joined by AI Foundation co-founder and chief executive Lars Buttler at the One Young World conference to introduce the concept of "personal media". The digital pioneers presented the concept, which is communication through an artificial version of yourself, as the next type of media following on from mass media and social media. The AI Foundation, a start-up business based in San Francisco, is working on artificial intelligence "that think and act like you" using 10 billion dollars of funding from investors. Users of this technology would own an AI version of themselves, which would "share their values and interests" by being programmed and controlled by them.