Artificial Intelligence
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Google Driverless Car Chauffeurs Blind Man

Google Driverless Car Chauffeurs Blind Man | Artificial Intelligence | Scoop.it
The goal of Google's self-driving car project is to make driving safer, more enjoyable, and efficient. How safe is it? Well, Google recently let one man who lost 95 percent of his vision and doesn't even have a driver’s license behind the wheel.

Via Manuel Thomas
Chris Daniel's insight:

Driverless cars have been in the works for a while now and this article delivers a good example of how far research and development in the area has come. If a blind man is able to sit behind the wheel of a car and safely navigate around a city then surely this is technology that is nearing a point at which it would be ready for the general public. I would definitely expect driving to be one of the tasks that is going to begin to be replaced by artificial intelligence within the next decade.

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A 'Babelfish' could be the web's next big thing, says AI expert

A 'Babelfish' could be the web's next big thing, says AI expert | Artificial Intelligence | Scoop.it
Prof Nigel Shadbolt predicts next 25 years will bring instant language translation - and a rise in ‘lifelogging’ and cyberwar too. By Charles Arthur
Chris Daniel's insight:

This article discusses the use of artificial intelligence as a language translator. It is suggested that in the near future great advances in intelligent translation should be able to be made. I find this idea interesting and can see many practical applications for potential improved intelligent translation systems.

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IDG Connect – Where is Artificial Intelligence Heading?

IDG Connect – Where is Artificial Intelligence Heading? | Artificial Intelligence | Scoop.it
We speak to professional insiders to find out if 2014 really is the year for AI.
Chris Daniel's insight:

A researcher interviewed for this article told the author that whilst recent advances in artificial intelligence have been substantial they have occurred only in academia and have not yet seen much, if any industry application. This is the component of the article that I found most exciting. Over the next decade artificial intelligence is sure to advance, but even the technology that is currently in existence is able to be applied in new profound ways. This is something that in my opinion is capable of happening very rapidly once initial momentum is gained.

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New Paper: "Why We Need Friendly AI" - Machine Intelligence Research Institute

New Paper: "Why We Need Friendly AI" - Machine Intelligence Research Institute | Artificial Intelligence | Scoop.it
A new paper by Luke Muehlhauser and Nick Bostrom, “Why We Need Friendly AI,” has been published in the latest issue of the Cambridge journal Think: Philosophy for Everyone.

Via Louie Helm
Chris Daniel's insight:

This paper does not discuss the fields in which AI will be put to use in the next decade, however, I found it to be interesting due to the fact that it raises several related conceptual issues that I believe to be important. The paper posits that the level of intelligence that humans are capable of need not necessarily be the standard, and that physics as is currently understood should allow much higher levels of intelligence to exist.

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To Understand All The Data They're Collecting, Social Networks Are Investing Big In Artificial Intelligence

To Understand All The Data They're Collecting, Social Networks Are Investing Big In Artificial Intelligence | Artificial Intelligence | Scoop.it
Consumer Internet companies are in a race to build out their artificial intelligence talent and acquire the most advanced machine-learning systems.
Chris Daniel's insight:

This article provides a brief discussion of how artificial intelligence will be used in one situation in the future. The quantity of data able to be collected by various companies and organisations has never been larger, and so more intelligent systems are required to better make use of said data.

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With A Voice Interface API For Any App, Wit.ai Wants To Be The ...

With A Voice Interface API For Any App, Wit.ai Wants To Be The ... | Artificial Intelligence | Scoop.it
Now, Alexandre Lebrun, the founder and CEO of VirtuOz, has taken a dive back into the startup world to launch Wit.ai, a platform and API that will let a developer incorporate speech recognition and a natural language ...
Chris Daniel's insight:

The article discusses progress in voice recognition software and raises a point that I had not previously considered: with the appearance of keyboard-less devices, such as Google Glass, voice recognition software must improve. There isn't a feasible alternative to voice recognition that I can see for these devices. Current voice recognition is limited by grammar and pronunciation, amongst other things, and it would take an intelligent system to overcome these barriers. This is an area that will likely see progress in the foreseeable future.

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A.I. XPRIZE: Can A Robot Deliver A TED Talk Worthy Of A Standing Ovation? - International Business Times

A.I. XPRIZE: Can A Robot Deliver A TED Talk Worthy Of A Standing Ovation? - International Business Times | Artificial Intelligence | Scoop.it
A.I. XPRIZE: Can A Robot Deliver A TED Talk Worthy Of A Standing Ovation?
International Business Times
Presented by TED, the A.I. XPRIZE has no set rules or time frame for a winner to claim the prize.
Chris Daniel's insight:

This article supports a trend that through my reading I have noticed forming. It would appear that the current goal for most parties that are interested in artificial intelligence is to be able to analyse and 'comprehend' large quantities of data. Artificial intelligence is capable of performing many tasks but current publicised investment trends seem to indicate that data analysis is of primary concern.

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Why Artificial Intelligence Has Failed And How To Fix It. The Laws Of Physics Imply 'AI' Must Be Possible

Why Artificial Intelligence Has Failed And How To Fix It. The Laws Of Physics Imply 'AI' Must Be Possible | Artificial Intelligence | Scoop.it
The very laws of physics imply that artificial intelligence must be possible. What's holding us up?

 

 It is uncontroversial that the human brain has capabilities that are, in some respects, far superior to those of all other known objects in the cosmos. It is the only kind of object capable of understanding that the cosmos is even there, or why there are infinitely many prime numbers, or that apples fall because of the curvature of space-time, or that obeying its own inborn instincts can be morally wrong, or that it itself exists. Nor are its unique abilities confined to such cerebral matters. The cold, physical fact is that it is the only kind of object that can propel itself into space and back without harm, or predict and prevent a meteor strike on itself, or cool objects to a billionth of a degree above absolute zero, or detect others of its kind across galactic distances.

 

But no brain on Earth is yet close to knowing what brains do in order to achieve any of that functionality. The enterprise of achieving it artificially — the field of ‘artificial general intelligence’ or AGI — has made no progress whatever during the entire six decades of its existence. Why? Because, as an unknown sage once remarked, ‘it ain’t what we don’t know that causes trouble, it’s what we know for sure that just ain’t so’ (and if you know that sage was Mark Twain, then what you know ain’t so either). I cannot think of any other significant field of knowledge in which the prevailing wisdom, not only in society at large but also among experts, is so beset with entrenched, overlapping, fundamental errors. Yet it has also been one of the most self-confident fields in prophesying that it will soon achieve the ultimate breakthrough.

 


Via Dr. Stefan Gruenwald
Chris Daniel's insight:

My primary acquisition from this lengthy article is knowledge of some of the barriers that AI research and development will need to overcome should it hope to progress to points that, whilst theoretically possible, are far from the current position of existing technology. AI research primarily aims to emulate human intelligence. I am not convinced that this is the only method of formulating intelligence though I see the advantage of this approach as human intelligence is the most advanced available variety. Regardless, the next decade will likely see further progress into the understanding of human intelligence, thought, and learning, and these findings will potentially have great impact on the development of artificial intelligence.

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The long-term future of AI(and what we can do about it): Daniel Dewey at TEDxVienna

Daniel Dewey is a research fellow in the Oxford Martin Programme on the Impacts of Future Technology at the Future of Humanity Institute, University of Oxfor...
Chris Daniel's insight:

This TED talk discusses the concept of an 'intelligence explosion'. Very generally the premise of this talk is that artificial intelligence should be capable of performing intellectual tasks much more efficiently than a human, or a group of, or even all humans could. This is not something the speaker expects would happen in the next decade, however, he believes it would be foolish to ignore the concept. I am skeptical of the peril the speaker warns of but find it an interesting and relevant thought exercise.

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Google's Game Of Moneyball In The Age Of Artificial Intelligence ...

Google's Game Of Moneyball In The Age Of Artificial Intelligence ... | Artificial Intelligence | Scoop.it
Google is cornering the talent market in AI and robotics to dominate the next era of computing.
Chris Daniel's insight:

The heavy investment in the development of artificial intelligence discussed by this article is a good indicator that the area is likely to experience substantial growth in the future. I believe that examining the actions of those at the forefront of the field can provide insight into the potential future of the field. Knowing that talented individuals with a background in artificial intelligence are a commodity is reassuring.

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