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Category: robotics/AI – Page 2390

More broadly, there’s a paradox in all this, that reflects the overarching direction of contemporary robotics. As machines become more and more general-purpose, they’re also going to become much better at tailoring their behavior to different kinds of people—and even eventually to different individuals. Already, SoftBank’s Pepper robot, a humanoid designed to interactive with people, is billed as the first machine able to read human emotions. For people to accept robots as they increasingly work their way into various areas of our lives, robots will have to develop fairly sophisticated understanding of individual human needs.

“If an assistive robot tries to help you, how much help you want really depends on your personality and the situation,” Dragan says. That’s also why robots are in some cases changing form—some of the machines designed to care for humans, for example, will have soft, cuddly bodies rather than just hard metal exoskeletons.

“We’re going to have more and more capable robots,” Dragan told me. Which means when machines interact with people, we’ll be able to customize them depending on who’s around; or if humans are around at all.

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Some fundamentals to consider when implementing online bots. It truly has to be for companies/ businesses a cultural, operating model, and business model fit. And, for consumers it is about your own personable fit. Not all bots are created equal meaning no one size fits all. Do your due diligence like you would on any investment as a business and any long term relationship as a consumer.

A version of this essay was originally published at Tech.pinions, a website dedicated to informed opinions, insight and perspective on the tech industry.

We’ve now had two major developer events in a row where chat bots were a significant theme, with both Microsoft’s Build and now Facebook’s F8 focusing on this rapidly emerging new form of interaction with companies and brands. With two such big names behind the trend, it’s easy to get caught up in the hype and enthusiasm these companies obviously share for the technology. But it’s important to stay grounded as we evaluate chat bots as a potential successor to today’s app model.

The first thing to note is that Facebook and Microsoft have strong incentives to pursue the bot vision. Both companies failed to make a meaningful dent in the mobile operating system battle and, as such, find themselves in secondary roles as makers of apps that run on other people’s platforms. This shuts them out of many of the opportunities associated with owning a mobile operating system, and puts them perennially in a secondary position, having to work around the limitations placed on third-party apps and the inherent disadvantages they face relative to pre-installed applications. So it’s not surprising both companies are now embracing what — in at least some visions of the future — promises to be the replacement for mobile apps. But it’s important to keep these incentives in mind in evaluating their claims about the potential of bots — Facebook and Microsoft have a massive vested interest in seeing this trend succeed.

Continue reading “The Limits of Bots” | >

Regulation is not the immediate problem with autonomous cars. Example, is Google car has been deemed approved by existing regs. However, the issue is the broader public’s trust due to the various reports of hacking of connected cars such as the Nissan Leaf, etc. Until we put in place a more resilient net infrastructure such as Quantum; slow down will happen. I suggest GM to read the news more because everything that I stated has been well communicated in the news and research for the past 4 months.

GM Ventures president Lauckner believes regulation will not halt the advance of the autonomous car.

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The office today for some and near future for others.

Vodafone says collaboration and gaming will fuel future office design.

Young people coming into employment in the next five years will work in a virtual reality office in the future, according to Vodafone.

Speaking at a keynote speech at the UC Expo in London, Peter Terry-Brown, head of product management at Vodafone, said 14-to-16-year-olds worked together in a virtual environment better than an older group did in a traditional office, when the telco decided to compare them.

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Knowing a cyberattack’s going to occur before it actually happens is very useful—but it’s tricky to achieve in practice. Now MIT’s built an artificial intelligence system that can predict attacks 85 percent of the time.

Cyberattack spotters work in two main ways. Some are AI that simply looks out for anomalies in internet traffic. They work, but often throw up false positives—warnings about a threat when actually nothing’s wrong. Other software systems are built on rules developed by humans, but it’s hard to create systems like that which catches every attack.

Instead, researchers from MIT’s Computer Science and Artificial Intelligence Lab built a new AI—creatively named AI2—that combines the two approaches.

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NYU-X Holodeck (credit: Winslow Burleson and Armanda Lewis)

In an open-access paper in the Journal of Artificial Intelligence Education, Winslow Burleson, PhD, MSE, associate professor, New York University Rory Meyers College of Nursing, suggests that “advanced cyberlearning environments that involve VR and AI innovations are needed to solve society’s “wicked challenges*” — entrenched and seemingly intractable societal problems.

Burleson and and co-author Armanda Lewis imagine such technology in a year 2041 Holodeck, which Burleson’s NYU-X Lab is currently developing in prototype form, in collaboration with colleagues at NYU Courant, Tandon, Steinhardt, and Tisch.

“The “Holodeck” will support a broad range of transdisciplinary collaborations, integrated education, research, and innovation by providing a networked software/hardware infrastructure that can synthesize visual, audio, physical, social, and societal components,” said Burleson.

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AI is hackable as long as it’s underpinning technology is still supported on legacy platform technology and connected to a legacy infrastructure. Only when the underpinning technology & net infrastructure is updated to Quantum will we see a secured AI environment.

At MIT, machine learning specialists are training deep learning algorithms to spot cyber attacks. It may be AI’s ultimate test.

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AI has been around for over 50 years. So, no it is not new technology. However, what is new is the various breeds of AI. Online bot technology is where folks can expect a larger immediate return. physical Robotics is still not going to deliver at the level that the consumers and various businesses require for adoption on a massive scale. Again, quantum and bio-computing will improve robotics as well as other areas of AI.

The history of technology, whether of the last five or five hundred years, is often told as a series of pivotal events or the actions of larger-than-life individuals, of endless “revolutions” and “disruptive” innovations that “change everything.” It is history as hype, offering a distorted view of the past, sometimes through the tinted lenses of contemporary fads and preoccupations.

In contrast, ENIAC in Action: Making and Remaking the Modern Computer, is a nuanced, engaging and thoroughly researched account of the early days of computers, the people who built and operated them, and their old and new applications. Say the authors, Thomas Haigh, Mark Priestley and Crispin Rope:

The titles of dozens of books have tried to lure a broad audience to an obscure topic by touting an idea, a fish, a dog, a map, a condiment, or a machine as having “changed the world”… One of the luxuries of writing an obscure academic book is that one is not required to embrace such simplistic conceptions of history.

Continue reading “When Artificial Intelligence Started To ‘Change The World’” | >