Arboter

Month: March 2017 (page 1 of 2)

A.I. technology will positively impact the nature of education

Below is a summary for the article : Artificial intelligence technology will positively impact the nature of education by Statepress

*Note: Image used belongs to Yasmine Mian

The integration of AI into our classrooms will benefit both students and teachers and is a very real possibility for the future.

Universities like ASU are pushing for the advancement of technological innovation, urging both students and teachers to revolutionize the way education is run.

ASU held a debate on the future of artificial intelligence last month with a variety of panelists discussing the future implications of AI technology and its impact on society.

The knowledge of artificial intelligence AI doesn’t fall far behind the idea of self-accelerating technology.

First: How can AI be integrated into a classroom and aid in human education? Second: What are the positive and negative impacts that AI could have on students?

These questions are integral in learning how AI technologies can benefit humans and how human education can respond to challenges posed by AI.There are fears about AI being used to replace human teachers in the future, effectively eliminating the unique student-teacher interaction that works to inspire students teachers and students should be central to the uses of AI.AI should be used to enhance the student-teacher relationship, not diminish it.

It’s difficult to definitively predict how the future of AI can impact the world of education according to many educational companies such as Pearson, the integration of intelligent computer systems in the classroom can have many benefits to students.

Not only will students be provided with additional classroom support, teachers will also be less overwhelmed and can spend more time in office hours rather than taking the time to do busy work such as grading papers, updating their website or even answering student questions.

AI can also positively impact students by providing helpful feedback in an instant about a student’s progress, effectively eliminating the need for standardized tests.

AI can not only aid in a student’s academic journey, but also help teachers and administrators in organizing lesson plans and address teacher shortages, particularly where subject matter expertise is missing.

 

To read more information, visit the original article : http://www.statepress.com/article/2017/03/spopinion-asu-artifical-intelligence-education-teachers-opinions
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Google’s DeepMind makes Artificial Intelligence program that can learn like a human

Below is a summary for the article : Google’s DeepMind makes AI program that can learn like a human by The Guardian

*Note: Image used belongs to DeepMind

Researchers have overcome one of the major stumbling blocks in artificial intelligence with a program that can learn one task after another using skills it acquires on the way.

“If we’re going to have computer programs that are more intelligent and more useful, then they will have to have this ability to learn sequentially,” said James Kirkpatrick at DeepMind.

Most AIs are based on programs called neural networks that learn how to perform tasks, such as playing chess or poker, through countless rounds of trial and error.

“Humans and animals learn things one after the other and it’s a crucial factor which allows them to learn continually and to build upon their previous knowledge,” said Kirkpatrick.

To build the new AI, the researchers drew on studies from neuroscience which show that animals learn continually by preserving brain connections that are known to be important for skills learned in the past.

The DeepMind AI mirrors the learning brain in a simple way.

Writing in the journal, Proceedings of the National Academy of Sciences, the researchers describe how the new AI solved problems with skills it had learned in the past.

While the program learned to play different games, it did not master each one as well as a dedicated AI would have.

“We have demonstrated that it can learn tasks sequentially, but we haven’t shown that it learns them better because it learns them sequentially,” Kirkpatrick said.

“One key part of the puzzle is building systems that can learn to tackle new tasks and challenges while retaining the abilities that they have already learnt. This research is an early step in that direction, and could in time help us build problem-solving systems that can learn more flexibly and efficiently.”

 

To read more information, visit the original article : https://www.theguardian.com/global/2017/mar/14/googles-deepmind-makes-ai-program-that-can-learn-like-a-human
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Artificial Intelligence experts warns robots will demand rights

Below is a summary for the article : AI experts warns robots will demand rights by Daily Mail

*Note: Image used belongs to Shutterstock

The report identifies a number of areas for potential oversight, such as the formation of a European agency for AI and robotics, a legal definition of ‘smart autonomous robots’, a registration system for the most advanced ones, and a mandatory insurance scheme for companies to cover damage and harm caused by robots.

WHAT IF AI ROBOTS COULD VOTE?How should democratic votes be allocated when copying people’s identities into artificial bodies or machines becomes so cheap that an extreme form of ‘ballot box stuffing’ – by making identical copies of the same voter – becomes a real possibility?

Should each copy be afforded their own vote, or a fractional portion determined by the number of copies that exist of a given person?

Would rights be transferable to back-up copies in the event of the biological original’s death?

So let’s just assume their technical feasibility and imagine a world where both bespoke sentient robots and robotic versions of ourselves imbued with perfect digital copies of our brains go to work and ‘Netflix and chill’ with us.

If a ‘robot’ copy was actually an embodied version of a biological consciousness that had all the same experiences, feelings, hopes, dreams, frailties and fears as their originator, on what basis would we deny that copy rights if we referred to existing human rights regimes?

There is also the question of what fundamental rights a copy of a biological original should have.

How should democratic votes be allocated when copying people’s identities into artificial bodies or machines becomes so cheap that an extreme form of ‘ballot box stuffing’ – by making identical copies of the same voter – becomes a real possibility?

If you take any liberal human rights regime at face value, you’re almost certainly led to the conclusion that, yes, sophisticated AIs should be granted human rights if we take a strict interpretation of the conceptual and philosophical foundations on which they rest.

To hear more about the future of AI and whether robots will take our jobs, listen to episode 10 of The Conversation’s monthly podcast, The Anthill – which is all about the future.

 

To read more information, visit the original article : http://www.dailymail.co.uk/sciencetech/article-4257176/AI-experts-warns-robots-demand-rights.html
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Government promises £20m investment in robotics and A.I.

Government promises £20m investment in robotics and artificial intelligence by Independent

*Note: Image used belongs to Getty

The government will launch a review into Artifical Intelligence and robotics in an attempt to make the UK a world leader in tech.

The government said in a statement on Sunday that it would invest £17.3 million in university research on AI. Artificial intelligence powers technologies such as Apple’s SIRI, Amazon’s Alexa, and driverless cars.

According to a report by consultancy firm Accenture, Artificial Intelligence could add around £654 billion to the UK economy.

Jérôme Pesenti, CEO of Benevolent Tech, who will be leading government research into AI, said,.

“There has been a lot of unwarranted negative hype around Artificial Intelligence, but it has the ability to drive enormous growth for the UK economy, create jobs, foster new skills, positively transform every industry and retain Britain’s status as a world leader in innovative technology. EU universal income must be ‘seriously considered’ amid rise of robots. The announcement is part of the government’s new”Digital Strategy”, which will be announced in full on Wednesday.

As well as investment in research and the tech industry, the strategy is also expected to detail a comprehensive modernisation of the civil service.

The government has been heavily criticised the delay in the publication of the strategy.

In January, the chairman of the government’s Science and Technology Committee criticised the government for this delay.

The government has said it was forced to delay the publication of the report to take into account the impact of Brexit.

Other sources have suggested that Whitehall’s resistance to the modernisation of the civil service under the Government Digital Service plans was also a significant factor.

 

To read more information, visit the original article : http://www.independent.co.uk/news/uk/home-news/government-digital-strategy-technology-robotics-artificial-intelligence-investment-a7600046.html
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Y Combinator has a new Artificial Intelligence track, and wants startups building ‘robot factory’ tech to apply

Below is a summary for the article : Y Combinator has a new AI track, and wants startups building ‘robot factory’ tech to apply by Tech Crunch

*Note: Image used belongs to SEAN GALLUP/GETTY IMAGES

Y Combinator Partner Daniel Gross today announced that the accelerator-turned-venture-fund will offer its first “Vertical” track exclusively for AI startups.

The “Accelerator VC” SOSV, runs programs for very early stage biotech-, hardware-, food-, mobile and smart city-startups; Acceleprise and AngelPad back b2b startups only; Yield Lab, Thrive and Terra are agriculture tech accelerators; while Starburst and LightSpeed Innovations work with aerospace and aviation startups.

The new “YC AI” track will include admitted startups along with all the others.

YC AI companies will get some additional benefits that others do not.

These include office hours with machine learning experts to help overcome technical problems, and cloud compute credits for GPU instances.

In his announcement, Gross also included an “RFS,” or request for startups, specifically seeking companies with AI to enable “Robot factories.” Currently, we mere humans still do a lot of tedious work in factories, even those outfitted with state of the art robotics.

A lot of that work revolves around setting up and fixing robots.

Gross wrote: “Many of the current techniques for robotic assembly and manufacturing are brittle. Robot arms exist, but are difficult to set up. When things break, they don’t understand what went wrong. As a result, humans are still leveraged to assemble products like an iPhone. We think machine learning will soon allow robots to compete.”

TechCrunch asked Gross why set aside a separate track for AI startups.

Won’t everything in tech have AI in it, soon enough? He said, “Soon is relative. I suspect there will be different layers of companies, just like with databases. Everyone uses a database, but some companies just use a high level abstraction, some lower level. We want to create more companies at the lower level.” Gross, who previously built a search engine business called Cue and sold it to Apple, will personally mentor YC AI startups.

 

To read more information, visit the original article : https://techcrunch.com/2017/03/19/y-combinator-has-a-new-ai-track-and-wants-startups-building-robot-factory-tech-to-apply/
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Robot deaths are nothing new but Artificial Intelligence will change everything

Below is a summary for the article : Robot deaths are nothing new but AI will change everything by Wired

*Note: Image used belongs to tommasourbinati/iStock

On January 25, 1979, 25-year-old Robert Williams climbed into a storage rack to retrieve parts from a malfunctioning robot at Ford’s Flat Rock plant in Michigan.

The robot, not able to sense Williams’ presence, swung round and struck him on the head, killing him instantly.

The robot kept working for 30 minutes as Williams lay dead on the floor.

His death, nearly forty years ago, makes Williams the first person to be killed as a result of actions by a robot.

Why a supermarket might be building the world’s most exciting robot Why a supermarket might be building the world’s most exciting robot.

If operating correctly, the lawsuit argues, the robot should not have been able to move while Holbrook was carrying-out maintenance.

A robot may not injure a human being or, through inaction, allow a human being to come to harm2.

A robot must obey orders given it by human beings except where such orders would conflict with the First Law3.

A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

The rise of artificial intelligence opens up a new, more complex threat: ethical robots.

 

To read more information, visit the original article : http://www.wired.co.uk/article/robot-death-wanda-holbrook-lawsuit
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Recycling robots: Artificial Iintelligence could reverse the UK’s decline

Below is a summary for the article : Recycling robots: AI could reverse the UK’s decline by The Guardian

*Note: Image used belongs to ZenRobotics

A team of robots scans objects on a recycling line, sorting wood from concrete at a rate of 4,000 pieces an hour.

The footage is part of a promotional video for Helsinki-based firm ZenRobotics, which believes its technology can help boost recycling rates and divert valuable resources away from landfill.

In theory, humans could be used for all types of recycling, says David Peck, professor in critical materials and circular cities at Delft University of Technology, but they are not necessarily jobs to wish on people.

Customers include Australia’s Sunshine Groupe, and Jiangsu LVHE Environmental Technology, which is building China’s first robotic recycling plant for construction waste.

One big question is whether artificial intelligence could be used to push up household recycling levels and stem the flow of domestic waste – including plastic packaging – to landfill, or into our waterways.

In the UK, household recycling rates dropped for the first time on record in 2015 and some campaigners have blamed the country’s complex and confusing recycling rules, which vary widely between different local authorities and can see one misplaced item send a whole bag of rubbish to landfill.

Centralised sorting is the direction of travel for household waste, says Rob van Dalen, from Bollegraaf Recycling Solutions – whose robotic system, Robb 2.0, is used at the massive Sims recycling plant in New York.

Others have raised economic concerns around the use of recycling robots, which carry high upfront costs – ZenRobotics system, for example, costs €700,000-€800,000 for a two-armed system.

Dirk Balthasar, a technical director at TOMRA, which manufactures reverse vending machines for customers to deposit cans, glass and plastic bottles for recycling, says the figures don’t yet stack up for applications beyond sorting bulky material.

This would mean that the same rubbish truck could collect all waste, cutting the requirement for separate recycling vehicles.

 

To read more information, visit the original article : https://www.theguardian.com/sustainable-business/2017/mar/21/recycling-robots-ai-uks-decline-waste
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Cloud robotics could be an Artificial Intelligence game changer

Below is a summary for the article :  Cloud robotics could be an AI game changer by Tech Target

*Note: Image used belongs to securityintelligence.com

Robots are traditionally built to look like humans, but does the locus of their “Brains” also have to mimic the human model? “The assumption is that, like us, the robot should have all of its intelligence onboard,” Gill Pratt, CEO at Toyota Research Institute, said at the MIT Disruption Timeline Conference.

“We communicate only at around ten bits per second of information,” Pratt said.

Rather than have the computing take place inside the robot, Pratt said a more efficient design is cloud robotics.

Doing so enables what the automotive industry refers to as fleet learning – when one robot learns something, the cloud enables a network effect so that all robots learn the same thing, according to Pratt.

The robotics field could reap similar advances with cloud robotics, which has the potential to spark “Hyper-exponential growth of capability,” Pratt said.

Translation: When cloud robotics takes root, the robotics field will experience advances at a faster pace than Moore’s Law, a term that refers to chip performance doubling every 18 months.

“It’s going to be more like a snap,” Pratt said.

“A big question, an economic question, is not only who is going to take care of us also, where are we going to live when we’re over age 65,” Pratt said.

Pratt’s hope is that the advances in machine learning and cloud robotics will enable machines to adapt quickly.

“In the second machine age, it’s not our muscles being augmented by machines but our minds.” – Erik Brynjolfsson, director of the MIT Initiative on the Digital Economy, Schussel Family Professor at MIT Sloan School, research associate at the National Bureau of Economic Research.

 

To read more information, visit the original article : http://searchcio.techtarget.com/opinion/Cloud-robotics-could-be-an-AI-game-changer
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Who’s liable for decisions Artificial Intelligence and robotics make?

Below is a summary for the article : Who’s liable for decisions AI and robotics make? by Beta News

*Note: Image used belongs to Tatiana Shepeleva / Shutterstock

Many of them are calling for new laws on artificial intelligence and robotics to address the legal and insurance liability issues.

Therese Comodini Cachia MEP, of the Maltese centre-right Nationalist Party and Parliament’s rapporteur for robotics, believes that “For the purposes of the liability for damages caused by robots, the various legal possibilities need to be explored How will any legal solution affect the development of robotics, those who own them and victims of the damage?”.

A significant challenge with adoption of AI techniques, and the question of liability, is transparency in the decisions made by these systems.

The ability for these technologies to provide a justification for the decisions they make will lead to easier adoption in the face of complex liability decisions.

In 2016, industry consultation about connected and autonomous vehicles opened up in the UK around self-driving vehicles, with the UK’s department of transport discussing the industry and looking to answer some of the biggest liability questions associated.

Issues of liability for autonomous systems are not new.

Over the last 30 years there have been a number of high profile failures of autonomous, software driven systems, that have forced us to consider the issue of where liability lies.

The current ambiguity surrounding the issue of liability has indeed plagued the further development of artificial intelligence and the establishment of common standards, creating an environment where some sectors have been more reluctant than others to roll out artificial intelligence systems, in spite of their revolutionary abilities.

As artificially intelligent systems start to impact the decisions that are made about us more and more, the questions raised by the self-driving car liability example should be no different to how we should be thinking about other usage.

It’s important for businesses to consider liability in their planning but also, they should look at what’s trying to be achieved and how the impact of the technology will impact all stakeholders of the business, from the worker to the end customer.

 

To read more information, visit the original article : https://betanews.com/2017/03/21/artificial-intelligence-robotics-liability/
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Robots Will Soon Do Your Taxes. No more Accounting Jobs

Below is a summary for the article : Robots Will Soon Do Your Taxes. Bye-Bye, Accounting Jobs by Wired

*Note: Image used belongs to GETTY IMAGES

Do these commercials signal that robots can come close, requiring fewer human experts, mostly for sanity checks? Is another human profession on the verge of biting the dust?

As a task becomes less predictable and a robot makes more mistakes, the automation is worth it only if those mistakes don’t carry significant costs.

Take the automobile analogy: Carmakers have gradually integrated more automation into sensing, braking, and acceleration decisions.

Humans are likely to get more and more comfortable with machines helping us with taxes.

More than 2 million people were employed as accountants, bookkeepers, and auditors in 2015.

Between accounting professionals and truck drivers alone, about 4.5 million human jobs could be ceded to robots over the next few years.

Will these new AI machines put other major human professions at risk as well? Will a robot replace me- teaching my class on data science? Somewhat ironic, but a potential reality.

In the past when technologies have displaced laborious tasks, they’ve also made humans more productive and created new jobs that leveraged the novel capabilities of these technologies.

Railroads created more opportunities to deliver goods to consumers, while computers created new kinds of office jobs involving the creation and use of information.

The increasing comfort that humans have with accommodating the expanding capabilities of robots in our everyday lives might just make the creation of human employment that much more challenging going forward.

 

To read more information, visit the original article : https://www.wired.com/2017/02/robots-will-soon-taxes-bye-bye-accounting-jobs/
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