artificial intelligence News for September 01 2017

‘Spirit Artificial Intelligence’ Creating ‘Entities’ and ‘Summoning the Demon’

LEARN MORE: https://christiantruther.com/end-times/science/spirit-artificial-intelligence-creating-entities-summoning-demon/ For More the latest news, reports …

Apple is finally serious about artificial intelligence

As research teams at Google, Microsoft, Facebook, IBM, and even Amazon have broken new ground in artificial intelligence in recent years, Apple always seemed to be the odd man out. Through a slew of updates and announcements today at its annual developer conference, Apple made it clear that the machine learning found everywhere else in Silicon Valley is foundational to its software as well, and it’s giving developers the power to use AI in their own iOS apps as well. It’s a new set of machine learning models and application protocol interfaces built by Apple, called Core ML. Developers can use these tools to build image recognition into their photo apps, or have a chatbot understand what you’re telling it with natural language processing. Apple has initially released four of these models for image recognition, as well as an API for both computer vision and natural language processing. Apple also made it easy for AI developers to bring their own flavors of AI to Apple devices. Certain kinds of deep neural networks can be converted directly into Core ML. Apple now supports Caffe, an open-source software developed by the University of California-Berkeley for building and training neural networks, and Keras, a tool to make that process easier. Some of the pre-trained machine learning models that Apple offers are open-sourced Google code, primarily for image recognition. AI on iOS. Apple made it clear in the keynote today that every action taken on the phone is logged and analyzed by a symphony of machine-learning algorithms in the operating system, whether it’s predicting when you want to make a calendar appointment, call a friend, or make a better Live Photo. Rather than using the standard, pre-recorded answers that Apple has always relied on, Siri’s voice is now entirely generated by AI. It allows for more flexibility, and, as the technology advances, it will sound exactly like a human anyway. Apple also rattled off a number of other little tweaks powered by ML, like the iPad distinguishing your palm from the tip of an Apple Pencil, or dynamically extending the battery life of the device by understanding which apps need to consume power. Okay, so Apple’s really only published one paper. It was a good one! And Ruslan Salakhutdinov, Apple’s new director of AI research, has been on the speaking circuit. Apple also held a closed-door meeting with their competitors at a major AI conference late last year, shortly after Salakhutdinov was hired, to explain what it was working on in its labs. Is Apple a leader in AI research? Not according to most metrics.
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Various – Artificial Intelligence II at Discogs

Find a Various – Artificial Intelligence II first pressing or reissue. Complete your
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AIIDE’17 is the thirteenth annual conference and the sixteenth overall event sponsored by AAAI on the topic of AI and Interactive Entertainment. AIIDE is the definitive point of interaction between entertainment software developers interested in AI and academic and industrial AI researchers. Sponsored by the Association for the Advancement of Artificial Intelligence, the conference is targeted at both the research and commercial communities, promoting AI research and practice in the context of interactive digital entertainment systems with an emphasis on commercial computer and video games. AIIDE-17 will include invited speakers, research and practitioner presentations, playable experiences, project demonstrations, interactive poster sessions, product exhibits, workshops, tutorials, and a doctoral consortium. We invite researchers and developers to share insights and cutting-edge results from a wide range of AI-related problems and encourage the presentation of a) results from core AI research areas applicable to interactive digital entertainment and b) AI approaches developed and fielded in commercial systems. This year’s conference features a special topic of “Beyond Games.” In addition to general topics of interest in game AI, the conference program will feature speakers, panels, and paper sessions that focus on a broad range of complementary areas of interactive digital entertainment.
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Is Artificial Intelligence Stuck in A Rut?

Don’t be fooled by all the money pouring into artificial intelligence projects these days. The former head of Uber’s AI Lab, Gary Marcus, warns that the field isn’t moving nearly as fast as many people think. Speaking at MIT Technology Review’s EmTech Digital conference in San Francisco this week, Marcus said the current obsession with statistical machine learning, combined with the short-term focus of companies that are investing in AI, was limiting progress towards human-level artificial intelligence. “My biggest fear is not Skynet,” Marcus said, referring to the killer artificial intelligence in the Terminator films. Marcus argued that despite recent technical advances, there are many simple things that computers cannot do, and that these limitations are holding back efforts to make progress towards real general intelligence. Marcus is a well-known critic of AI hype, but his comments contrasted starkly with those of Ilya Sutskever, the research director of OpenAI, a non-project created by Elon Musk and others to do fundamental and open research on AI. In an earlier talk, in which Sutskever described a new approach to machine learning, he suggested that general, or human-level, AI might not be so far away. “[It] seems far off right now but [was] way more far off five years ago,” he said. “The number of people and the amount of effort going into developing these algorithms is extremely high-things are moving forward at a very healthy pace.” Marcus, who left Uber earlier this month to spend more time with his family, and who is also a professor at NYU, said during his talk that corporate investment in AI might not be such a good thing for the field’s long-term goals. In times past, a lack of progress caused investment in AI to dry up. This time around, Marcus suggested, too much investment might cause researchers to lose sight of the long-term goals. Asked if the commercial interest in AI, which is pulling many academics into industry, was a good thing, Marcus, said it was a double-edged sword. “Certain things can be done at a company like Uber, they have enormous resources,” Marcus said. “The problem with the corporate market is there’s a short-term focus. How do you make money out of deep learning today?”.
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Artificial Intelligence Will Redesign Healthcare

The world of Big Data is so huge that we will need artificial intelligence to be able to keep track of it. Artificial intelligence already found several areas in healthcare to revolutionize starting from the design of treatment plans through the assistance in repetitive jobs to medication management or drug creation. The most obvious application of artificial intelligence in healthcare is data management. This huge amount of data could be analyzed in details not only to provide patients who want to be proactive with better suggestions about lifestyle, but it could also serve healthcare with instructive pieces of information about how to design healthcare based on the needs and habits of patients. For patients: getting accustomed to artificial intelligence and discovering its benefits for themselves – e.g. with the help of Cognitoys which support the cognitive development of small children with the help of AI in a fun and gentle way or with such services as Siri.
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artificial intelligence | Popular Science

In a world where artificial intelligence does most of the work, Elon Musk posits that brain-computer interfaces and universal basic income will help bridge the gap.
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Marketing in the Age of Artificial Intelligence

Artificial intelligence is able to bring together disparate data, platforms and technology to deliver against the ever-rising customer expectations. This is not the stuff of Hollywood films where menacing robots drive out humans, but the practical stuff of task-based artificial intelligence: narrowly focused powerful capabilities that artificial intelligence offers to marketers right now. The Marketing in the Age of Artificial Intelligence report aims to demystify what AI is now and could be in the future, explaining why its adoption is driven by customer behaviour and why you should be thinking about artificial intelligence now. What you’ll learn What artificial intelligence is and is not. How artificial intelligence is changing customer behaviour.
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What you need to know about artificial intelligence, and …

What you need to know about artificial intelligence, and the imminent robot future. From autonomous warfare to still-distant sentience, artificial intelligence in …
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