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10 Roles For Artificial Intelligence In Education

10 Roles For Artificial Intelligence In Education | The Future of Artificial Intelligence | Scoop.it
10 Roles For Artificial Intelligence In Education

Via Tom D'Amico (@TDOttawa)
Ben Hendry's insight:

The TeachThought staff illustrate how Artificial Intelligence is poised to make an impact on our education system.

 

"Systems respond to the needs of the student" and allow students to work at their own pace and in a method that is best suited for them. Adaptive learning software allows for a computer to tailor itself to a user in ways which aren't achievable through conventional methodology.


Automation technology will optimise the entire grading process by evolving to mark essays as multiple choice is today; which will "[allow] teachers to focus more on in-class activities and student interaction than grading."


The evolution of intelligent personal assistants also has a promising future. By implementing AI tutors, students can have access to supervision at all times, teachers can be informed when a student is having trouble through real-time data monitoring, and assist the teacher by acting as an expert system through providing accurate, professional information.


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Yihan She's curator insight, March 27, 8:52 PM

Before the movie comes to true, artificial intelligence is still the technology which could release people from some complex  and repetitive works.

Morgan Travis's curator insight, March 27, 10:36 PM

Teachthought.com report all the important uses that AI may serve in the education industry. All of the 10 points in these are positive.

 

Leaving out the fact that the advancements in AI may have the possibility of taking educators jobs (along with many other jobs). Although this is an advanced idea, it is still a possibility within the future. But do all these positivies outweigh the negative? 

Daryl Nazareth's curator insight, March 28, 3:34 AM

Uses of AI

 

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Video Games Help U.S. Soldiers Learn Arab Language, Culture

Video Games Help U.S. Soldiers Learn Arab Language, Culture | The Future of Artificial Intelligence | Scoop.it
Researchers have developed an interactive computer system that uses artificial intelligence and gaming techniques to teach Arabic to U.S. soldiers.
Ben Hendry's insight:

An 8 year old article that illustrates how Artificial Intelligence can make learning more interactive and exciting.

 

Stefan Lovgren of National Geographic News explains how American soldiers were being equipped with microphones and having to "- navigate through an Arabic-speaking environment on a computer screen. If they successfully phrase questions and understand the answers, they can move on to the next level of the game."

 

Not only does such a technology provide massive real-world benefits by teaching soldiers how to communicate with locals it also provides the new generation with a new way to learn. 

 

The AI behind the project is able to simulate how a real-world scenario may pan out, with the AI possessing the ability to "- nod in approval or cross their arms with skeptical hostility in response to the users' actions" - both verbal and non-verbal.

 

Future commercial interest and development of this technology --including the simulated human intelligence, speech and voice recognition -- would undoubtedly be of great interest to the public.

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Rise of the Robots--The Future of Artificial Intelligence: Scientific American

Rise of the Robots--The Future of Artificial Intelligence: Scientific American | The Future of Artificial Intelligence | Scoop.it
By 2050 robot "brains" based on computers that execute 100 trillion instructions per second will start rivaling human intelligence (Rise of the Robots--The Future of Artificial Intelligence http://t.co/apbbzoIxmP)...

Via Scott Turner
Ben Hendry's insight:

Hans Moravec a chief scientist of Seegrid Corporation - a robotics company - believes that computer "intelligence" will continue to increase exponentially.


He hypothesises that "- by 2050 [computers] will be capable of executing trillions of instructions each second." His vision for such an increase in computing power is supported by Moore's Law which is the observation that, over the history of computing hardware, the number of transistors on integrated circuits doubles approximately every two years, which results in an increase in computational power.

 

This law has held true since the invention of the integrated circuit in 1958. If the "law" continues on that trend, not only will "smarter" machines begin to appear but the machines will become cheaper and more available. 

 

Increasing the number of instructions per second a computer can perform allows the machine to peruse data faster, forecast it more effectively, and ultimately react to it in a way which will benefit humans by providing more accurate models in real-time.

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10 Roles For Artificial Intelligence In Education

10 Roles For Artificial Intelligence In Education | The Future of Artificial Intelligence | Scoop.it
10 Roles For Artificial Intelligence In Education

Via Tom D'Amico (@TDOttawa)
Ben Hendry's insight:

The TeachThought staff illustrate how Artificial Intelligence is poised to make an impact on our education system.

 

"Systems respond to the needs of the student" and allow students to work at their own pace and in a method that is best suited for them. Adaptive learning software allows for a computer to tailor itself to a user in ways which aren't achievable through conventional methodology.


Automation technology will optimise the entire grading process by evolving to mark essays as multiple choice is today; which will "[allow] teachers to focus more on in-class activities and student interaction than grading."


The evolution of intelligent personal assistants also has a promising future. By implementing AI tutors, students can have access to supervision at all times, teachers can be informed when a student is having trouble through real-time data monitoring, and assist the teacher by acting as an expert system through providing accurate, professional information.


more...
Yihan She's curator insight, March 27, 8:52 PM

Before the movie comes to true, artificial intelligence is still the technology which could release people from some complex  and repetitive works.

Morgan Travis's curator insight, March 27, 10:36 PM

Teachthought.com report all the important uses that AI may serve in the education industry. All of the 10 points in these are positive.

 

Leaving out the fact that the advancements in AI may have the possibility of taking educators jobs (along with many other jobs). Although this is an advanced idea, it is still a possibility within the future. But do all these positivies outweigh the negative? 

Daryl Nazareth's curator insight, March 28, 3:34 AM

Uses of AI

 

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FIFA 14: data capture could allow for player-specific AI in future editions ... - VG247

FIFA 14: data capture could allow for player-specific AI in future editions ... - VG247 | The Future of Artificial Intelligence | Scoop.it
FIFA 14: data capture could allow for player-specific AI in future editions ...
Ben Hendry's insight:

Electronic Arts' David Rutter, executive producer of FIFA 14 explains how his team is improving the intelligence of the players within the game.

 

"Stat-capture technology" is being used to develop the skills of the AI to match that of the real-life soccer stars. In addition, the AI allows for a particular player to be aware of what is happening on the field and react as a human would. Much like a "collective intelligence", ensuring each "player" has its own unique AI ensures a more realistic experience for the end user.

 

Rutter plans to continue this work so the personalities of the players in-game are as close as possible to the real-world counterparts.

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4 Big Opportunities in Artificial Intelligence

4 Big Opportunities in Artificial Intelligence | The Future of Artificial Intelligence | Scoop.it
Google's acquisition of DeepMind is yet another sign the future of artificial intelligence is here. Check out some of the big ideas AI startups are pursuing.

Via Kalani Kirk Hausman
Ben Hendry's insight:

Issie Lapowsky examines "- a few [of the] emerging applications of artificial intelligence" and how Google's acquisition of artificial intelligence start-up DeepMind for US$400 million is evidence that this technology is here now.

 

Lapowsky states that "there's a difference between having the data on hand and truly understanding it" and adds that entrepreneurs are beginning to finance and create computers which are capable of not only "- synthesiz[ing] the data, but interpret[ing] it, too".

 

The robotics industry is also expanding, not only are they now built to perform rudimentary manufacturing tasks, but construction of autonomous robots like in the case of Hanson Robotics, are "capable of carrying [out] a conversation (albeit a peculiar one) and recalling personal history."

 

The advancements in the synthesis of data by these intelligences is also paving the way for computers to understand human emotion. "The idea [being] that by understanding emotions, artificially intelligent technology could predict a person's needs in drastically more human ways."

 

Artificial Technology will undoubtedly help bridge that gap between machine and man and allow each to operate in a productive union.

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Machines that can learn could replace half of American jobs in the next decade ... - Financial Post

Machines that can learn could replace half of American jobs in the next decade ... - Financial Post | The Future of Artificial Intelligence | Scoop.it
Financial Post
Machines that can learn could replace half of American jobs in the next decade ...
Ben Hendry's insight:

"Intelligent machines" threaten to cut jobs through the optimisation of mundane processes. 

 

Aki Ito provides the example of Minneapolis attorney William Greene who faced the unenviable "- task of combing through 1.3 million electronic documents [for] a recent case". Instead of hiring more personnel and human labor to complete this task he turned to "intelligent software".

 

This software "learned" from Greene's associates, who had combed through a small sample size of the documentation and "taught" the software their reasoning and search logic, which enabled the documents to be sorted by relevance.

 

Enabling a machine to "learn" through past experiences, emulation, and trial and error "- relieve[s] engineers of the need to write out every command" and for machines to "learn" in a way similarly to humans.

 

With the software, Greene's firm got through the documents in under 600 hours. Assuming they maintained that speed, that same task without the software would have taken 13,000 hours (or over twenty times the length of time).

 

A twenty-fold increase in productivity is astounding. It equates to:

 

Minimum wage in Australia: $16.37 per hour [fairwork.gov.au]

 

12,400 * 16.37 = $202,988 worth of man hours saved by implementing and utilising this technology.

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Robotics and artificial intelligence among future events technology trends, says MPI white paper

Robotics and artificial intelligence among future events technology trends, says MPI white paper | The Future of Artificial Intelligence | Scoop.it
Meeting Professionals International (MPI) has tipped technologies including artificial intelligence, robotics, and speech and voice recognition as among future trends in events.

Via Pierre Tran
Ben Hendry's insight:

As industry begins exploring new territory in Artificial Intelligence it is only expected that success won't always be the outcome.


Web developer and lawyer Andrew Watters states that "- organisations on the cutting edge expect to get it "wrong" sometimes—the key being to learn from those experiences." 


Robotics development is progressing in a way which will allow for business leaders to have their "robotic avatar" attend meetings on their behalf. This technology could also be expanded into handling of tasks such as reception work, "- handing out of refreshments during intervals and the answering of basic questions". The  objective of further development in robotics being to provide some personification of the "intelligence".

 

Another important goal of machine intelligence is fostering an adaptable environment that suits the preferences of all users in a networked group. The aim being that by better moulding the machine to a particular user, a more productive outcome can be achieved. Artificial Intelligence would undoubtedly assist with this by studying the patterns of the user and making inferences of how they want the information, interface, and data to be presented.

 

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Q&A with Udacity's Sebastian Thrun Rachel Metz - MIT Technology Review

Q&A with Udacity's Sebastian Thrun Rachel Metz - MIT Technology Review | The Future of Artificial Intelligence | Scoop.it
Q&A with Udacity's Sebastian Thrun Rachel Metz
MIT Technology Review
Sebastian Thrun on the Future of Learning.
Ben Hendry's insight:

In the present there's a clear difference between "machine intelligence" and human intelligence, that being the ability to think in more than black and white, on or off, true and false, and one or zero.

 

Humans are capable of making inferences based on incomplete data and arriving at an approximate conclusion. Artificial Intelligence's goal is to emulate this ability and provide machines with a new way of thinking, which has a wide range of business applications such as forecasting and modelling data.

 

Stanford research professor, Sebastian Thrun says integrating AI into education will allow for students to be profiled in a way that will assist teachers in improving their teaching methods, treating students as individuals rather than a collective, and providing more constructive feedback.


Thrun gives the example of a user doing a mathematical exercise and how an AI tutor can effectively aid students in learning. "Maybe you get it right, in which case the system might say congratulations, let’s move back to the original question. Or maybe you got it wrong, at which point it’s pointless to give you the hard questions—it’s much, much smarter to give you the easy questions."


AI isn't going to replace teachers - at least not at the present - but rather support the role of them through feedback, support, and analysis of student performance.

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Robot Revolution? Scientists Teach Robots to Learn - National Geographic

Robot Revolution? Scientists Teach Robots to Learn - National Geographic | The Future of Artificial Intelligence | Scoop.it

Brown University roboticist Chad JenkinsRobot Revolution? Scientists Teach Robots to Learn
National Geographic
Jenkins isn't alone in anticipating a future in which robots will play a more active role in our lives. ...

Ben Hendry's insight:

Brown University roboticist, Chad Jenkins says to expect a Robot Revolution "- that will echo the computing revolution of recent decades." An exciting proposition if there ever was one, to imagine that the robots now could be as obsolete as the "supercomputer" mainframes of the 70's.


It's time for the robots to begin "- evolving from machines that can perform only the tasks that they're programmed to do into automatons that can truly learn."


In order to achieve this "sensors, scanners, cameras, and other high-tech tools" are being installed into robots in order for them to understand and adapt to their environment rather than being shackled to restrictive coding. 


Robots need to adopt a method of asking questions about success in a task, similarly to how humans learn through inquiring about their performance. Post-doctoral student, Maya Cakmak noted that "when the robot asked questions about how to [perform its task], volunteers answered them—and the robot success rate soared to 100 percent."

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Swarm robotics challenges smart machines - Boston Globe

Swarm robotics challenges smart machines - Boston Globe | The Future of Artificial Intelligence | Scoop.it
Boston Globe Swarm robotics challenges smart machines Boston Globe But this seemingly ragtag team of robots is one example of a powerful alternate approach to tackling complex problems: instead of trying to build one smart machine, build a bunch of...
Ben Hendry's insight:

Swarm intelligence is one possible solution to addressing the complexity of artificial intelligence.

 

Researchers at Harvard University "- decided to see if droves of simple robots could carry out a complex task by working together." The idea being that a collective of smaller, simpler intelligences would be able to perform as one large, complex intelligence.

 

This "collective intelligence" is capable of completing small tasks or steps. Much like an "intelligent machine" would be capable of completing an algorithm by systematically progressing through a set of steps, the individual machines that make up this "collective" work independently of each other and are ignorant to each other.

 

The collective breaks down a complex task into a series of achievable steps which then allows for engineers and programmers to code these simpler instructions.

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What Google's DeepMind acquisition means for artificial intelligence ...

What Google's DeepMind acquisition means for artificial intelligence ... | The Future of Artificial Intelligence | Scoop.it
With the acquisition of DeepMind, Google will acquire a whole new set of technologies related to artificial intelligence. But what will it use them for, and should we be concerned?
Ben Hendry's insight:

Google is spending big on AI technology. The acquisition of smart thermostat company Nest Technologies, and UK-based AI outfit DeepMind for 3.2 billion and 400 million US dollars respectively, demonstrates the level of confidence Google has in the future of the industry.


Computer scientists are moving away from the "top-down" approach to AI - where it was believed with enough rules pre-programmed it would appear that a machine was working autonomously - and embracing a "bottom-up" methodology whereby the researchers "built systems with simple behaviors (like “move left” or “read the next word”) and showed those systems which actions worked in different contexts."


It's hoped that by embracing "bottom-up" programming that it will lead to application in: video recognition, speech recognition and translation, security, and e-commerce.


Truly it's an exciting time with many different researchers from backgrounds in psychology, medicine, engineering, IT, and business all joining together to define and develop intelligent systems.


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Speaking 'robots' can teach English 24-hours a day

Speaking 'robots' can teach English 24-hours a day | The Future of Artificial Intelligence | Scoop.it
A Japanese company has developed the world's first artificial intelligence (The future of English language teaching?

Via digistar
Ben Hendry's insight:

Japanese company SpeakGlobal which specialises in creating software which assists people in learning a new language is trying their hand at creating a "chat-robot"

 

Reading and writing is just one aspect of a language that software has so far been able to assist with. Speech is the other which so far has been a less than reliable way of learning due to the software's inability to correctly decipher and identify sounds.

 

Speech recognition technology is therefore essential to ensuring this project is feasible and this is where machine learning algorithms that can adapt to the user's voice, microphone, and accent; adaptability and malleability are crucial for successful implementation of the technology.

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33rd Square | Robotic Bees Using Artificial Intelligence May Pollinate Crops In The Future

33rd Square | Robotic Bees Using Artificial Intelligence May Pollinate Crops In The Future | The Future of Artificial Intelligence | Scoop.it
33rd Square | Robotic Bees Using Artificial Intelligence May Pollinate Crops In The Future http://t.co/jT9RFkgt...

Via JoonJeong Yi
Ben Hendry's insight:

Researchers at the Universities of Sheffield and Sussex are taking an interesting approach to improving their knowledge about Artificial Intelligence by creating an artificial bee's "brain" instead of trying to replicate the higher cognitive abilities of a human.

 

Not only does this development increase our limited understanding of AI but it also has a variety of possible applications in its current form, including: the ability to conduct "search and rescue missions, or even mechanical pollination of crops."

 

Team leader of the project, Dr Thomas Nowotny believes that "- not only will this pave the way for many future advances in autonomous flying robots, but ... the computer modelling techniques we will be using will be widely useful to other brain modelling and computational neuroscience projects,"

 

In addition, it's hoped that the project will also give insight into the behaviour of the honey bee, why its population is dwindling, and explain what their exact role is in the ecosystem.

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Is Artificial Intelligence About to Change Doing Business Forever? - Smart Data Collective

Is Artificial Intelligence About to Change Doing Business Forever? - Smart Data Collective | The Future of Artificial Intelligence | Scoop.it
Smart Data Collective
Is Artificial Intelligence About to Change Doing Business Forever?
Ben Hendry's insight:

BigData-Startups founder Mark van Rijmenam asserts that Artificial intelligence will continue to grow exponentially and have profound implications on the technology behind data management. 

 

Rijmenam points to a report[1] released by the EU that "- the global market for AI is set to grow from € 700 million (1.08 billion AUD) in 2013 to € 27 billion (41 billion AUD) in 2015." Such a substantial investment is warranted not only due to the promising results seen already in tasks such as forecasting and automation, but because of the challenges that are being faced and yet to be solved.

 

The ideology behind Artificial Intelligence is that software possesses the perceptive capabilities of a human in concert with the efficiency of a computer. 

 

Predicting human behaviour, modelling data, fostering a life-like social environment between man and machine, and automation are not only fundamentals of Artificial Intelligence development but also industry and commercial enterprise. Which is why the world will continue to see significant investments in the field in years to come.

 

[1] - http://ec.europa.eu/enterprise/policies/innovation/policy/business-innovation-observatory/files/case-studies/09-bid-artificial-intelligence_en.pdf

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Adaptive search heuristic robot

The project deals with the application of adaptive search heuristic algorithms in autonomous robots. The goal is to discover and adaptively learn the shortes...
Ben Hendry's insight:

A real world application of an adaptive search heuristic algorithm which allows the robot to "learn" it's environment and effectively map the shortest route to a destination.

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Making Friends With Artificial Intelligence: Eric Horvitz at TEDxAustin

Distinguished Scientist and co-director at Microsoft Research, Eric Horvitz, shares the human side of advancing machine intelligence. An admitted advocate fo...
Ben Hendry's insight:

"These systems will be serving us and extending and empowering us and most of all - the most important goal for me - is understanding who we are."

 

Microsoft researcher and computer scientist Eric Horvitz shares his experience with Artificial Intelligence and how it will impact the future and combine machine and human intelligence to the benefit of mankind.

 

Horvitz specifically mentions how Artificial Intelligence is being used to forecast data (health care, traffic, weather); how AI is being developed to recognise implied knowledge, social cues, and its own environment to better interact with their human counterparts and achieve a more cohesive bond through understanding.

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What Quantum Computers Will Mean For Artificial Intelligence

What Quantum Computers Will Mean For Artificial Intelligence | The Future of Artificial Intelligence | Scoop.it
Quantum computers of the future will have the potential to give artificial intelligence a major boost, a series of studies suggests.

Via Carlos Fosca
Ben Hendry's insight:

Quantum computers of the future will only further bolster the rapidly-growing interest in Artificial Intelligence and Machine Learning.


Quantum computers are not constrained by the unambiguous set of states of 'classical' computers and are therefore far more adept at the calculations involved in decryption, factoring, and search algorithms. 


By embracing and further developing this technology, existing AI techniques can be drastically improved; particularly those methods involved in pattern recognition software.

 

The development of quantum computers would undoubtedly provide scientists with a platform to base further AI research.

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Could robots be the journalists of the future? - The Guardian

Could robots be the journalists of the future? - The Guardian | The Future of Artificial Intelligence | Scoop.it
The Guardian
Could robots be the journalists of the future?
Ben Hendry's insight:

Leila Haddou of the Guardian writes that Artificial Intelligence may have a future in journalism.

 

She points to a study done earlier in the year by Swedish academic Christer Clerwall which found that "- readers couldn't tell much difference between computer-generated and human-written sports articles, with the robot version said to score highly on description."

 

Although, such an outcome sounds promising Haddou laments that their "- rudimentary experiment in using algorithms" didn't achieve the same success.

 

It seems there is indeed a future in this type of technology, although it's likely that it may take some time to successfully implement it as the technology isn't quite there yet - which was humorously  illustrated in the article.

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The AI Report - Forbes.com

The AI Report - Forbes.com | The Future of Artificial Intelligence | Scoop.it
The past, present and future of artificial intelligence.

Via LeapMind
Ben Hendry's insight:

The "Turing test" is an examination of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.

 

It was designed by Alan Turing in 1950 in his paper "Computing Machinery and Intelligence" and involves a human judge engaging in a (typed) natural language conversation with another human and a machine. All participants are separated from one another and if the judge cannot reliably tell the machine from the human, the machine is said to have passed the test.


Despite Turing predicting that his test would be beaten by the turn of the century, it is still yet to happen (if it is indeed possible).

 

Perhaps Turing himself said it best when he mused that "we can only see a short distance ahead, but we can see plenty there that needs to be done."

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IDG Connect – Where is Artificial Intelligence Heading?

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

Artificial intelligence is seeing large investment with Neil Lawrence, Professor of Machine Learning at the University of Sheffield explaining that it's due to "- a shortage of expertise in this area."


Initial development will mainly be focused on personalisation of the user experience, says the CEO of natural language interaction specialists Artificial Solutions, Lawrence Flynn.


The immediate future looks set to see further implementation of AI in business, where it's adeptness at data mining, modelling, and searching can be utilised to a greater extent in large databases.


Lawrence doubts that "there will be one big AI moment that history will point to, it will just gradually start to become a normal part of our everyday lives." 


As for the future, Dr Ben Medlock, Chief Technology Officer at SwiftKey , a smart text prediction software company believes that "- AI research will lead us towards more general solutions, able to take diverse inputs from a wide range of data sources and make powerful predictions that closely mimic higher order human reasoning." 


In any event, Flynn expects future "- AI research to help us explore some of our deepest questions around life, purpose, consciousness and what it means to be human.”

 

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Super-Intelligent Computers Could Enslave Humanity Says Oxford University. (Or They'll Just Kill Us.)

Super-Intelligent Computers Could Enslave Humanity Says Oxford University. (Or They'll Just Kill Us.) | The Future of Artificial Intelligence | Scoop.it
Artificial intelligence poses an "extinction risk" to human civilisation, an Oxford University professor has said.
Ben Hendry's insight:

Stuart Armstrong of the Future of Humanity Institute - a philosophical faculty of Oxford University - questions human understanding of Artificial Intelligence.

 

Armstrong gives the example of an Antivirus program that's dedicated to filtering the viruses out of emails. He asks what's going to stop an intelligent machine from making an inference that the best way to stop the viruses is to simply stop the emails arriving in the first place. 

 

Armstrong admits that although Artificial intelligence is still in its infancy; it's important to raise these ethical questions and issues early. As it may take "- just one developer [to come] up with a "neat algorithm" that no one else had thought to construct" for us to achieve true computer intelligence.


He finishes by saying that it's important "- [we] try to adjust society ourselves before the AI adjusts it for us."

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MOBILE INSIDER: Artificial Intelligence Is Becoming A Reality - Audi's ... - Businessinsider India

MOBILE INSIDER: Artificial Intelligence Is Becoming A Reality - Audi's ... - Businessinsider India | The Future of Artificial Intelligence | Scoop.it
MOBILE INSIDER: Artificial Intelligence Is Becoming A Reality - Audi's ...
Businessinsider India
CAN COMPUTERS BE OUR FRIENDS?
Ben Hendry's insight:

CEO of voice-recognition service Nuance, Peter Mahoney says "the company is improving the ways in which artificial intelligence can communicate with humans, rather than just spitting back data."


Nuance is researching "how people speak rather than what is being said" in order to improve their software. By examining the acoustic elements of a voice they hope to "be able to detect emotions in speech" in the future; which could have a wide variety of implications on future development in AI and its growing adeptness at personalising the end-user experience.

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Artificial Intelligence Panel – Boston Post Mortem

The November meeting of the Boston Post Mortem (IGDA Boston), featured a panel of AI experts talking about challenges in artificial intelligence. The panel worked on the AI for games such as Halo 2 and 3, BioShock, SWAT 4, F.E.A.R., and No One Lives Forever 2.


Via Florent de Grissac
Ben Hendry's insight:

Artificial Intelligence development in the gaming industry is adopting new methods to foster the most realistic game play experiences possible.

 

Jeff Orkin, a PHD candidate in the Cognitive Machines Group at the MIT Media Lab is focusing his research on developing AI that learns from studying real humans playing in an online multi-player environment. It seems to bear striking similarities between how young children learn from their parents through imitation.

 

By moving AI towards adopting the methods in which humans learn, we can expect that the machines would eventually act more human - at least more so than they are currently.

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Andrew Ng - Machine Learning via Large-scale Brain Simulations - Technion lecture

Andrew Ng of Stanford University, Technion lecture: Machine Learning via Large-scale Brain Simulations Machine learning is a very successful technology, but ...
Ben Hendry's insight:

"Given what we know now about deep-learning and feature-learning; what is the next step? .. How do we go about building the highest possible accuracy learning system?"

 

Andrew Ng of Standford University, gives his insight into what's the best approach to improving our existing machine-learning technology. 

 

Ng has found through his research that "-it's not who has the best algorithm that wins, it's who has the most data." And it's important that machines have the ability to process the massive amounts of data they have access to via the Internet, and other networks.

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Computerized brain made of GPUs could be the future of artificial intelligence - ExtremeTech

Computerized brain made of GPUs could be the future of artificial intelligence - ExtremeTech | The Future of Artificial Intelligence | Scoop.it

ExtremeTech Computerized brain made of GPUs could be the future of artificial intelligence ExtremeTech For decades computer scientists have been struggling to design an artificial intelligence sophisticated enough that it could pass for a living...

Ben Hendry's insight:

Google is taking a new approach to simulating human intelligence through computers.

 

Previously, the approach to the development of Artificial Intelligence was to "- bundl[e] as many processors together as possible" in some ad-hoc neural network. 


Stanford researcher, Andrew Ng believes that in order ensure the future of Artificial Intelligence the price of development needs to be drastically reduced in order for more people such as computer scientists, and perhaps even consumers can adopt the technology.

 

He envisions that a move away from CPU's to GPU's will make this price decrease plausible. He found that the task of "spotting cats" by Google's deep learning system - which cost upwards of US$1 million - was accomplished with a system constructed of GPU's which was a tenth of the cost at US$100,000.

 

Undoubtedly, with an increase in access to this type of hardware which can achieve the same outcome by reducing the cost of building the system will allow for more people to make their mark on the world of AI and hopefully expedite the industry's growth.

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David Ley's curator insight, March 16, 1:53 AM

An article on a alternative solution for A.I. using a large amount of GPU's instead of CPU's.