artificial intelligence News for September 02 2017

What is Artificial Intelligence (or Machine Learning)?

What is AI? What is machine learning and how does it work? You’ve probably heard the buzz. The age of artificial intelligence has arrived. But that doesn’t mean …

AAAI Conference on Artificial Intelligence

Sponsored by the Association for the Advancement of Artificial Intelligence. The AAAI Conference on Artificial Intelligence promotes theoretical and applied AI research as well as intellectual interchange among researchers and practitioners. The technical program features substantial, original research and practices. Conference panel discussions and invited presentations identify significant social, philosophical, and economic issues influencing AI’s development throughout the world. For information about past AAAI Conferences, please consult the following pages.
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Artificial Intelligence

Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes foundational and applied papers describing mature work involving computational accounts of aspects of intelligence. Artificial Intelligence and Philosophy Automated reasoning and inference Case-based reasoning Cognitive aspects of AI Commonsense reasoning Constraint processing Heuristic search High-level computer vision Intelligent interfaces Intelligent robotics Knowledge representation Machine learning Multiagent systems Natural language processing Planning and theories of action Reasoning under uncertainty or imprecision. The journal reports results achieved; proposals for new ways of looking at AI problems must include demonstrations of effectiveness. Papers describing systems or architectures integrating multiple technologies are welcomed. Artificial Intelligence also invites papers on applications, which should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited. The journal publishes an annual issue devoted to survey articles and also hosts a “Competition section” devoted to reporting results from AI competitions. From time to time, there are special issues devoted to a particular topic; such special issues always have open calls. Artificial Intelligence caters to a broad readership. Papers that are heavily mathematical in content are welcome but should be preceded by a less technical introductory section that is accessible to a wide audience. Papers that are only mathematics, without demonstrated applicability to Artificial Intelligence problems may be returned. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.
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Is artificial intelligence the future of capital markets?

Today, at asset management companies and other financial institutions, there are still large teams of analysts and portfolio managers, sifting through data, developing investment theses and making asset allocation decisions. Not only is the amount of data available to us accelerating, the nature of it is changing, with new sources of information being seen as potentially relevant for analysis. The location-based data that comes from your mobile phone shows whether you are in a mall. The reality is that there is just too much data for humans to be able to use. Of course, funds have been using complex algorithmic-driven trading strategies for years, but this is largely confined to market data. Imagine if we could take all the data that’s coming from the real economy and use that to discern price, predict performance, understand risk and make better investment decisions. The only feasible way to do this is to use computing power to ingest the data, understand correlation and causation, and deduce rapidly enough how to respond. Let’s assume that you use very sophisticated AI-driven models to scan data from not just the market but a whole plethora of other sources to define, implement, monitor, refine and adjust your trading strategies. The kinds of people employed in the industry will change; we will need people who can model data, and others who can validate the models and the results. Much of the dialogue around the types of jobs that will disappear because of artificial intelligence has centered on relatively unskilled jobs, but in financial services it will be expensive, highly educated Wall Street types finding themselves out of work. Kensho uses AI to scan vast data sets much more quickly and accurately than analysts, and sells the information to banks and other financial institutions. One competitor is Sentifi, which takes in data from thousands of sources, then filters it for accuracy. The founder got the idea after the nuclear disaster at Fukushima, when an investment manager friend griped that it would take three weeks of sifting through seemingly unconnected data to work out the implications of this event on his portfolio. One hedge fund taking artificial intelligence to the next level is Numerai – which doesn’t even employ the AI talent! This San Francisco fund encrypts its trading data and then crowdsources AI-based algorithms from anyone who wants to have a go.
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The Hype-and Hope-of Artificial Intelligence

At around the ten-minute mark, Oliver took his verbal bat to the knees of Tronc, the new name for Tribune Publishing Company, and its parody-worthy promotional video, in which a robotic spokeswoman describes the journalistic benefits of artificial intelligence, as a string section swells underneath. Tronc is not the only company to enthusiastically embrace the term “Artificial intelligence.” A.I. is hot, and every company worth its stock price is talking about how this magical potion will change everything. Much like “The cloud,” “Big data,” and “Machine learning” before it, the term “Artificial intelligence” has been hijacked by marketers and advertising copywriters. A lot of what people are calling “Artificial intelligence” is really data analytics-in other words, business as usual. The only thing they all seem to agree on is that artificial intelligence is a set of technologies that try to imitate or augment human intelligence. Augmented intelligence offers the possibility of winnowing an increasing number of inputs and options in a way that humans can’t manage without a helping hand. An expert in a field where artificial intelligence and human-computer interaction intersect, Zhou breaks down A.I. into three stages. The first is recognition intelligence, in which algorithms running on ever more powerful computers can recognize patterns and glean topics from blocks of text, or perhaps even derive the meaning of a whole document from a few sentences. The third stage will be reached only when we can create virtual human beings, who can think, act, and behave as humans do. Despite what you read in the media, no technology is perfect, and the most valuable function of A.I. lies in augmenting human intelligence. “It’s ironic that we define artificial intelligence with respect to its ability to replicate human intelligence,” said Sean Gourley, the founder of Primer, a data-analytics company, and an expert on deriving intelligence from large data sets with the help of algorithms. Even the much talked-about “Computer vision” has become effective only because humans have uploaded billions of photos and tagged them with metadata to give those photos context. Using Zhou’s three stages as a yardstick, we are only in the “Recognition intelligence” phase-today’s computers use deep learning to discover patterns faster and better. “I’m still a big fan of man-machine symbiosis, where computers do the best they can, and humans do our best.” For a few more decades, at least, humans will continue to train computers to mimic us.
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Human character animation has gotten much better over the years, but it’s still one of the most recognizable issues when enjoying video games. Now, a research team from the University of Edinburgh has developed a new way to animate game characters using neural net computing, which could help developers make more fluid and realistic animations, while decreasing the system resources and time involved. What exactly makes this different from other animation methods, and what’s happening in the neural net to make the magic happen? As players mash on their gamepads or move a mouse, the neural net learns and evolves over time to create a seamless animation. “We change the weights of the neural network depending on what point in time in the locomotion cycle the character is,” explained Holden, those weights being the data that influences what the animation will be.
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Artificial Intelligence: News & Trends

In the United States, artificial intelligence is already being used to fashion legal documents, and doctors are using AI as an aid in the support of diagnosis and treatment. Whether the digital assistant Is called Siri, Cortana or Echo, a measure of artificial intelligence is always involved. Artificial Intelligence can do much more than just drive cars. Artificial intelligence will increasingly take over simple forms of work. CeBIT will show how the boundless opportunities and possibilities of Artificial Intelligence can be realized in your concrete business.
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A new report on artificial intelligence shows people are …

People in Britain are more scared of the artificial intelligence embedded in household devices and self-driving cars than in systems used for predictive …
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Artificial Intelligence vs Computational Intelligence …

Artificial Intelligence: Artificial intelligence is the intelligence exhibited by machines or software. It is also an academic field of study.
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