Posts Tagged ‘AI’

Artificial Intelligence Enhances Video Games

Video Game player taking action.A recent announcement on EurekAlert! states: “Researchers from North Carolina State University have developed artificial intelligence (AI) software that is significantly better than any previous technology at predicting what goal a player is trying to achieve in a video game. The advance holds promise for helping game developers design new ways of improving the gameplay experience for players.”We developed this software for use in educational gaming, but it has applications for all video game developers,” says Dr. James Lester, a professor of computer science at NC State and senior author of a paper on the work. “This is a key step in developing player-adaptive games that can respond to player actions to improve the gaming experience, either for entertainment or – in our case – for education.” The researchers used “deep learning” to develop the AI software. Deep learning describes a family of machine learning techniques that can extrapolate patterns from large collections of data and make predictions. Deep learning has been actively investigated in various research domains such as computer vision and natural language processing in both academia and industry.”

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Baidu Takes on Artificial Intelligence

Baidu logoDaniel Sparks of The Motley Fool reported, “”Chinese companies are starting to dream,” said early investor in Baidu (NASDAQ: BIDU  ) and managing partner at GGV Capital Jixun Foo. Foo’s proclamation was made in an in-depth article by MIT Technology Review, which examined the Chinese search giant’s new effort to change the world with artificial intelligence. The company’s new AI lab does, indeed, accompany some lofty aspirations — ones big enough to hopefully help Baidu become a global Internet powerhouse and to compete with the likes of Google in increasingly important emerging markets where the default search engine hasn’t yet taken the throne. But what are the implications for investors? Fortunately, Baidu’s growing infatuation with AI looks like it could give birth to winning strategies that could build sustainable value over the long haul.”

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MonkeyLearn Unveils its Powerful and Affordable Artificial Intelligence Technology Platform for Developers

MonkeyLearn logoA recent release from MonkeyLearn states, “Developers, startups, and small and medium-sized enterprises (SMEs) now have access to a powerful, customizable, and affordable artificial intelligence (AI) technology platform for text mining, MonkeyLearn. As one of the first companies to meet the demands of a new, sophisticated era of AI, MonkeyLearn will be unveiled in beta today at TechCrunch Disrupt San Francisco. MonkeyLearn’s patent-pending algorithm creation engine allows developers in any industry to quickly and easily create and incorporate text mining capabilities into their own platforms, applications and websites, regardless of their experience with AI technologies. Artificial intelligence technologies for text mining have become a priority for Internet and technology companies, as they allow them to understand users’ interests and provide similar or relevant recommendations.”

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Semantic Technology Job: R&D Engineer

IPsoft logoIPsoft needs a R&D Engineer. The job description states, “Amelia is the next generation human-computer dialog system that acts as your personal student, instructor, assistant, or friend.  Amelia is based on the latest state-of-the-art technologies in natural language processing, information retrieval, machine learning, and more.What distinguishes Amelia from previous generation human-computer dialog systems is its learning ability.  Amelia is capable of understanding syntax and semantics of natural language and automatically builds its own neural ontology from them.  If you want to teach Amelia about a certain object, you simply describe the object in natural language, then Amelia builds a neural ontology for the object automatically.  Once the neural ontology is built, Amelia can explain or answer questions about the object by traversing through the ontology.  Objects do not have to be specified upfront; you can talk about random stuffs and expect Amelia to build neural ontologies for objects that are newly introduced during your conversation with Amelia.  When you ask questions about things that Amelia does not have neural ontologies for, Amelia tries to find the most appropriate answer from the World Wide Web.  These include questions about weathers, current events, historical/geopolitical facts, etc.”

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The Many Possibilities of Machine Learning and AI

6829374625_11533e23f5Lars Hard of Beta News recently wrote, “Artificial intelligence (AI) has become a bit of a buzzword among technology professionals (and even within the mainstream public) but truthfully, most people do not know how it works or how it is already being integrated within leading enterprise businesses. AI for businesses is today mostly made up of machine learning, wherein algorithms are applied in order to teach systems to learn from data to automate and optimize processes and predict outcomes and gain insights. This simplifies, scales and even introduces new important processes and solutions for complex business problems as machine learning applications learn and improve over time. From medical diagnostics systems, search and recommendation engines, robotics, risk management systems, to security systems, in the future nearly everything connected to the internet will use a form of a machine learning algorithm in order to bring value.” Read more

Move Over Siri: Make Way for Viv

vivKatherine Noyes of Tech News World reports, “The inventors of Apple’s Siri personal assistant have launched an independent effort that could make their first offspring look kind of dumb. Billed by its creators as ‘the global brain,’ Viv aims to radically simplify the world by providing an intelligent interface to everything. ‘They are trying to abstract Siri’s [natural-language processing] interface so you could apply it into other applications and domains,’ Raj Singh, CEO and founder of Tempo AI, told TechNewsWorld. ‘For example, what if I wanted to integrate a Siri-like interface into the Yelp app or the Expedia app?’ Currently, ‘there isn’t a good facility to do this,’ he said. Read more

Whose Job Is It Anyway?

Photo courtesy:  Flickr/photologue_np

Photo courtesy: Flickr/photologue_np

Will a robot take your job in the future? Given their increasing sophistication, it’s not surprising if the topic is of growing concerns to more people. The Semantic Web Blog has reported, for example, on robots that are learning to do tasks in response to humans’ natural language, and a talking robot on a space journey, covering the gamut from personal assistant to astronaut.

The Pew Research Center released a report last week entitled AI, Robotics and the Future of Jobs. It raises the question of whether advances in robotics and artificial intelligence will displace more jobs than they create by 2025, but the experts the report draws upon for their opinions haven’t reached a consensus on that point yet. Forty-eight percent believe both blue- and white-collar worker jobs are at risk, and that the future will see greater income inequality, more permanent unemployment and greater social disruption as a result. The other 52 percent see a lot of jobs that currently require real people will be taken over by robots or digital agents, as well – but with the happier prospect that humans will figure out new jobs and industries to replace the livings they can no longer make with their own brains or hands.

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Artificial Intelligence Pushes Ahead in China

Baidu logoA recent press release revealed that, “There are signs indicating that Chinese Internet users might be the very first group of people to truly reap the benefits of artificial intelligence. The Singularity Is Near: When Humans Transcend Biology, written by Ray Kurzweil, painted us a picture of artificial intelligence. Kurzweil describes his law of accelerating returns which predicts an exponential increase in technologies; in the book he says this will lead to a technological singularity in the year 2045, a point where progress is so rapid it outstrips humans’ ability to comprehend it. Baidu, the leading Chinese search service provider, recently announced their ground-breaking Light App (a modified kind of web app), the Baidu Exam-Info Master. Using the artificial intelligence of their search engine, Baidu seeks to offer some practical help to high school seniors when it comes to applying for their dream college after the National College Entrance Examination. This service has soon become wildly popular among users, and may grow into a key motivation for Baidu to duplicate this kind of method into a far broader area.”

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Adventure Game Uses Natural Language Understanding

Graphic of the Natural Language Understanding technical flow.An article written by Eugene Joseph of Gamasutra reveals that, “Bot Colony is an episodic single player adventure game that we launched on Steam’s Early Access on June 17. It has the distinction of being the first game that integrates unrestricted English dialogue into the game experience. While the Bot Colony Natural Language Understanding (NLU) pipeline cannot yet handle everything a player throws at it, it is able to understand enough that cooperative players can complete the game’s episodes (versions of the first two are available now on Steam Early Access). Language understanding is not limited to the minimum required to play the game – we actually hope that players will explore the boundaries of AI understanding and probe just how much a Bot Colony robot understands.”
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The Future of Personalization

[Editor's Note: This guest article comes to us from Dr. Nathan Wilson, CTO of Nara. ]

Photo of Thomas Jefferson statue and modern person with smart device The Problem: Information has run amok.

There once was a time when the busiest and greatest minds –the Jeffersons, Hemingways and Darwins – would have time in their day for long walks, communion with nature, and leisurely handwritten correspondence. Today we awaken each day to an immediate cacophony of emails, tweets, websites and apps that are too numerous to navigate with full consciousness. Swimming in wires, pixels, data bits, and windows with endless tabs is toxic to you and to me, and the problem continues to escalate.

How do you connect to this teeming network without electrocuting your brain? “Filtering” is a simple, but ultimately blinding, approach that shields us from important swaths of knowledge. “Forgetting faster” is potentially a valid solution, but also underserves our mindfulness.

A History of Attempted Solutions So Far: How have we tried to solve information glut so far, and why is each solution inadequate?

Phase 1 – The Web as a Linnaean Taxonomy (1994-2000)

The first method to deal with our information explosion came in “Web 1.0” when portals like Yahoo! arose to elegantly categorize information that you could explore at your leisure. For instance, one could find information on the New England Patriots by following a trail of breadcrumbs from “Sports” to “Football” to “AFC East” and finally “New England Patriots” where you were presented with a list of topical websites.

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