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Scientists Have Built an Internet for Robots

Scientists Have Built an Internet for Robots | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
Scientists in Europe have put together a "standardised knowledge base for robots," through which robots can exchange information with other robots using cloud computing. Called Rapyuta, the World Wide Web for the electronic persuasion will allow robots "to become more cognitive, and interact with humans in more subtle ‘human' ways."
Mathew Sayed's insight:

Breakthrough research in this article shows the advancement in AI technology and machine learning and holds come of the most important conversations of this computational era. This article has shown a 'standardised knowledge base for robots' " through which robots can exchange information with other robots using cloud computing". This is remarkable as it suggest that machines are capable of developing their own language in order to communicate at a human level.

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Rise of the Robots--The Future of Artificial Intelligence

Rise of the Robots--The Future of Artificial Intelligence | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
By 2050 robot "brains" based on computers that execute 100 trillion instructions per second will start rivaling human intelligence
Mathew Sayed's insight:

Interesting read on robotic engineering and its future development, in contrary belief this article explains the development of AI in todays society and the possibility of matching human intelligence with-in a humanoid (intelligent robot) would not be available until the 2050's. Even more interesting concepts are argued in this article explaining that the robotic engineering is not the problem, as we have developed the technology already, it is having the capability of the human brain with in the machine itself, once we achieve that then robotic intelligence with have no limit to its possibilities. 

 

This article has great factual information without a fictional promise, this has allowed for great research topics to come into question and has given a good insight on what to expect in the next decade for Artificial Intelligence.

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Can We Really Teach Computers What “Truth” Means?

Can We Really Teach Computers What “Truth” Means? | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
This article arises from Future Tense, a partnership of Slate, the New America Foundation, and Arizona State University. From Feb.

Via Jonathan Noo
Mathew Sayed's insight:

This topic is quite controversial with its AI, although it is descriptive and breaks down AI into technologies that are current in today society like the smart phone, Siri, self-driving cars, military weapons which all are used and constantly getting improved day by day. When it comes to human AI with-in robotics and simulating the human brain, professors believe over the last 20 years scientists and computer engineers have only progressed between 0.05 - 1 % of understanding the AI components for human intelligence.

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Jonathan Noo's curator insight, March 21, 2013 10:31 PM

This is an interesting topic, as because even now it is still vague if we as a can actually create a artificial intelligence which can tells differences and think by themselves.

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The Dawn of the Age of Artificial Intelligence - The Atlantic

The Dawn of the Age of Artificial Intelligence - The Atlantic | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
The Dawn of the Age of Artificial Intelligence The Atlantic Because the exponential, digital, and recombinant powers of the second machine age have made it possible for humanity to create two of the most important one-time events in our history:...
Mathew Sayed's insight:

Interesting article based on the second wave of AI technology, where the first leap of self-driving cars, synthesis systems and speech recognition are just warm-up acts in the first generation AI computer era. with aggressive advancements in quantum computing and computer sciences this articles explains that machine learning will be available in the near future and like all electronic systems, AI technology is only going to get cheaper as we progress into the next era of AI. 

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The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)

(May 21, 2011) Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng's r...
Mathew Sayed's insight:

Intelligent robots are available at this present time, the only thing missing is the software. Intelligent software is one of the most important aspects for robotic engineering in order to create an AI robotics. Two main principles for intelligent software is control and perception:

 

control: needs to understand directive actions, have a feel for its environment. The computer needs to learn from own experiences in order to understand environments: this concept is considered machine learning.

 

Perception: is being able to understand what we are asking, for example in visual perception, computer vision will see code to which is pix-elating the camera lens, where as the human brain is responsible for decoding what the human eye sees. With huge break through in neurological sciences, machine learning, control and perception is evolving at rapid rate, allowing for smarter machines and software in the near future.  

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Introducing Qualcomm Zeroth Processors: Brain-Inspired Computing | Qualcomm

Introducing Qualcomm Zeroth Processors: Brain-Inspired Computing | Qualcomm | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
For the past few years our Research and Development teams have been working on a new computer architecture that breaks the traditional mold...

Via Scott Turner
Mathew Sayed's insight:

Very influential article based on machine learning and the creation on a CPU that has brain inspired computing which is one of the most advanced systems present in the present computing era.

 

This articles shows how they have discovered the human brain architecture inside a central processing unit which enables devices to see and perceive the world as humans do. There is also a very interesting video which shows the capabilities of control and perception of a biologically inspired learning machine. 

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Scientists See Advances in Deep Learning, a Part of Artificial Intelligence

Scientists See Advances in Deep Learning, a Part of Artificial Intelligence | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
Advances in an artificial intelligence technology that can recognize patterns offer the possibility of machines that perform human activities like seeing, listening and thinking.
Mathew Sayed's insight:

New theories in AI techniques are inspiring biomedical infused with computing to allow for machine learning through brain patterns, which is related to a breakthrough research called 'deep learning'/'recognition'. This article shows the advances through voice recognition and and breakthroughs like Siri. 

 

This articles shows promising content in relation to understanding the future of AI and what possibilities are with in the decade, with this information one can find great AI concepts and future developments with in the field of study.

 

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10 ways artificial intelligence can change education

10 ways artificial intelligence can change education | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it

For decades, science fiction authors, futurists, and movie makers alike have been predicting the amazing (and sometimes catastrophic) changes that will arise with the advent of widespread artificia...


Via jlolaza
Mathew Sayed's insight:

Seeing true possible outcomes for AI with in the next decade can help change educational methods as we know it. Intelligent robots may not blossom in the next decade but intelligent software is already upon us and accelerated learning from machine software could be the beginning of a new technological era.

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Google and NASA's Quantum Artificial Intelligence Lab

A peek at the early days of the Quantum AI Lab: a partnership between NASA, Google, USRA, and a 512-qubit D-Wave Two quantum computer. Learn more at http://g...
Mathew Sayed's insight:

Quantum computers can help shed light on possibilities of advancing AI with the capabilities of new mathematical laws, or a new notation in the machine language taking it from a two bit system (Binary) to a three bit system, where a bit can either be a 1 or a 0 or both at the same time, essentially becoming a Qubit. Having a quantum computer now is a process of allowing the quantum machine to mature and in the decade produce new insights on all technological systems as we know it.  

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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 ... | mathew.sayed. Artificial Intelligence 1012ICT | Scoop.it
Google is cornering the talent market in AI and robotics to dominate the next era of computing.
Mathew Sayed's insight:

With Google investing billions of dollars in an attempt to be the biggest AI company in the world, also head hunting the best of the best Professors and academics in the field of study, this type of aggressive play is generally liked to a 'sure thing'. Google believes that AI is going to be the next decades leap into the technological age and has put a great percentage of the company's wealth into its investments. 

 

good article to understand some business ethics and the monopoly of control heading into a new era of computing.

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