Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 2,093

SocialRecall says it deletes obsolete user data on the event version of the app, and that data for the other version is only stored on a user’s phone.

But privacy experts are still concerned that the app represents a mainstream rollout of technology that could have profound implications for the future of public spaces — and that it’s difficult to adequately inform users about the long-term risks of a technology that’s still so new.

“The cost to everyone whom you are surveilling with this app is very, very high,” New York University law professor Jason Schultz told Scientific American, “and I don’t think it respects the consent politics involved with capturing people’s images.”

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Frequently reported advances in artificial intelligence make some people curious, and others nervous. While some people picture their next smart appliance purchase being an AI robot, others wonder if an AI robot will take their job. The truth is, neither of those scenarios will be a reality anytime soon.

There’s a misunderstanding about artificial intelligence (AI), and it’s a big deal. True AI doesn’t exist yet, and it’s not a likely near future, either. Despite analysis of science fiction movies and scientific reports that claim otherwise.

People get excited when new breakthroughs in machine learning are publicized, like the CNBC interview with a robot named Sophia. Sophia’s ability to answer the interviewer’s questions and stay on point is jaw-dropping for many. The truth is, Sophia isn’t any closer to true AI than the last robot. She’s programmed to provide better responses, and her lifelike appearance makes her impressive, but even Sophia isn’t demonstrating true AI. She’s not autonomous, and can’t make her own decisions.

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Just like last year, this year’s 60 predictions reveal the state-of-mind of key participants in the cybersecurity industry (on the defense team, of course) and cover all that’s hot today. Topics include the use and misuse of data; artificial intelligence (AI) and machine learning as a double-edge sword helping both attackers and defenders; whether we are going to finally “get over privacy” or see our data finally being treated as a private and protected asset; how the cloud changes everything and how connected and moving devices add numerous security risks; the emerging global cyber war conducted by terrorists, criminals, and countries; and the changing skills and landscape of cybersecurity.

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A Cafe in Tokyo uses an all-robot staff, though some of its employees that control these servers do so remotely, under special circumstances.

As reported by NextShark, these employees have debilitating conditions like ALS and similar spinal chord injuries, and operate the robot servers from home. They operate an OriHime-D: a 4-foot-tall robot that moves, handles objects, and communicates with patrons at Tokyo’s Cafe DAWN (Diverse Avatar Working Network). Cafe DAWN is intended to resemble the robot-centric cafe featured in the 2008 anime Time of Eve.

The technology is facilitated by Ory, an institute that is looking to solve issues of social and physical isolation by using technological advances along with human interaction.

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While a 90-day ceasefire period is in place for negotiators to end the war, major Chinese technology companies and national initiatives are expected to continue to face challenges in 2019 as the world’s two largest economies remain at loggerheads over global leadership in hi-tech innovation.

Here we take a look at the views of analysts, executives, and experts to see which sectors and companies will likely be in the spotlight in 2019 and what the big issues are expected to be.

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As 2018 draws to a close and we start anticipating the developments that will happen in 2019, here’s a look back at our ten most-read articles of the year.

This 3D Printed House Goes Up in a Day for Under $10,000 Vanessa Bates Ramirez | 3/18/18 “ICON and New Story’s vision is one of 3D printed houses acting as a safe, affordable housing alternative for people in need. New Story has already built over 800 homes in Haiti, El Salvador, Bolivia, and Mexico, partnering with the communities they serve to hire local labor and purchase local materials rather than shipping everything in from abroad.”

Machines Teaching Each Other Could Be the Biggest Exponential Trend in AI Aaron Frank | 1/21/18 “Data is the fuel of machine learning, but even for machines, some data is hard to get—it may be risky, slow, rare, or expensive. In those cases, machines can share experiences or create synthetic experiences for each other to augment or replace data. It turns out that this is not a minor effect, it actually is self-amplifying, and therefore exponential.”

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