Lifeboat Foundation

Rudina Seseri (@rudina11), Wan Li Zhu (@zhurama) — Tech Crunch

The robotics revolution has been in the making for decades, but market expectations have historically outpaced technology readiness. While industrial and military sectors have adopted a number of high-priced robotics solutions, the consumer sector has lagged due to lack of technological maturity and high costs.

In recent years, we have seen accelerated levels of innovation in both software and hardware that are now driving new possibilities for consumer readiness and adoption of personal robotics.

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Uploading the content of one’s mind, including one’s personality, memories and emotions, into a computer may one day be possible, but it won’t transfer our biological consciousness and won’t make us immortal.

Uploading one’s mind into a computer, a concept popularized by the 2014 movie Transcendence starring Johnny Depp, is likely to become at least partially possible, but won’t lead to immortality. Major objections have been raised regarding the feasibility of mind uploading. Even if we could surpass every technical obstacle and successfully copy the totality of one’s mind, emotions, memories, personality and intellect into a machine, that would be just that: a copy, which itself can be copied again and again on various computers.

THE DILEMMA OF SPLIT CONSCIOUSNESS

Neuroscientists have not yet been able to explain what consciousness is, or how it works at a neurological level. Once they do, it is might be possible to reproduce consciousness in artificial intelligence. If that proves feasible, then it should in theory be possible to replicate our consciousness on computers too. Or is that jumpig to conclusions ?

Continue reading “Mind uploading won't lead to immortality” »

Computers will soon be able to simulate the functioning of a human brain. In a near future, artificial superintelligence could become vastly more intellectually capable and versatile than humans. But could machines ever truly experience the whole range of human feelings and emotions, or are there technical limitations ?

In a few decades, intelligent and sentient humanoid robots will wander the streets alongside humans, work with humans, socialize with humans, and perhaps one day will be considered individuals in their own right. Research in artificial intelligence (AI) suggests that intelligent machines will eventually be able to see, hear, smell, sense, move, think, create and speak at least as well as humans. They will feel emotions of their own and probably one day also become self-aware.

There may not be any reason per se to want sentient robots to experience exactly all the emotions and feelings of a human being, but it may be interesting to explore the fundamental differences in the way humans and robots can sense, perceive and behave. Tiny genetic variations between people can result in major discrepancies in the way each of us thinks, feels and experience the world. If we appear so diverse despite the fact that all humans are in average 99.5% identical genetically, even across racial groups, how could we possibly expect sentient robots to feel the exact same way as biological humans ? There could be striking similarities between us and robots, but also drastic divergences on some levels. This is what we will investigate below.

Continue reading “Could a machine or an AI ever feel human-like emotions ?” »

By Teppei Kasai and Yoshiyasu Shida — Reuters

(Reuters) — Japan’s SoftBank Corp said on Thursday it will start selling human-like robots for personal use by February, expanding into a sector seen key to addressing labour shortages in one of the world’s fastest ageing societies.

The robots, which the mobile phone and Internet conglomerate envisions serving as baby-sitters, nurses, emergency medical workers or even party companions, will sell for 198,000 yen ($1,900) and are capable of learning and expressing emotions, Softbank CEO Masayoshi Son told a news conference.

A prototype will be deployed this week, serving customers at SoftBank mobile phone stores in Japan, he added. The sleek, waist-high robot, named Pepper, accompanied Son to the briefing, speaking to reporters in a high-pitched, boyish voice.

“People describe others as being robots because they have no emotions, no heart. For the first time in human history, we’re giving a robot a heart, emotions,” Son said.

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By Dante D’Orazio — The Verge

Eugene Goostman seems like a typical 13-year-old Ukrainian boy — at least, that’s what a third of judges at a Turing Test competition this Saturday thought. Goostman says that he likes hamburgers and candy and that his father is a gynecologist, but it’s all a lie. This boy is a program created by computer engineers led by Russian Vladimir Veselov and Ukrainian Eugene Demchenko.

That a third of judges were convinced that Goostman was a human is significant — at least 30 percent of judges must be swayed for a computer to pass the famous Turing Test. The test, created by legendary computer scientist Alan Turing in 1950, was designed to answer the question “Can machines think?” and is a well-known staple of artificial intelligence studies.

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The technological singularity requires the creation of an artificial superintelligence (ASI). But does that ASI need to be modelled on the human brain, or is it even necessary to be able to fully replicate the human brain and consciousness digitally in order to design an ASI ?

Animal brains and computers don’t work the same way. Brains are massively parallel three-dimensional networks, while computers still process information in a very linear fashion, although millions of times faster than brains. Microprocessors can perform amazing calculations, far exceeding the speed and efficiency of the human brain using completely different patterns to process information. The drawback is that traditional chips are not good at processing massively parallel data, solving complex problems, or recognizing patterns.

Newly developed neuromorphic chips are modelling the massively parallel way the brain processes information using, among others, neural networks. Neuromorphic computers should ideally use optical technology, which can potentially process trillions of simultaneous calculations, making it possible to simulate a whole human brain.

Continue reading “Is it possible to build an artificial superintelligence without fully replicating the human brain?” »

Deutsche Welle

They recognise how unfamiliar objects move, find their way in rooms they don’t know, and securely grasp completely differently shaped objects. Oliver Brock has programmed his robots so they can almost learn the way people do. His trick is an algorithm that trawls through large amounts of data and subdivides movements into individual segments.

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Oil Refineries that has continuously benefited from Mr. Andres Agostini’s White Swan Transformative and Integrative Risk Management. The White Swan Idea is at https://lifeboat.com/blog/2014/04/white-swan

Through five and half years, the White Swan Book’s Author Andres Agostini concurrently managed the risks of the world’s number 1 and the world’s number 3 Oil Refineries. There is a sample of installations of these two refineries.

Continue reading “Oil Refineries that has continuously benefited from Mr. Andres Agostini’s White Swan Transformative and Integrative Risk Management. The White Swan Idea is at http://lifeboat.com/blog/2014/04/white-swan” »

Oil and Gas Tankers (maritime vessels) that has continuously benefited from Mr. Andres Agostini’s White Swan Transformative and Integrative Risk Management. The White Swan Idea is at https://lifeboat.com/blog/2014/04/white-swan

Through five and half years, the White Swan Book Author Andres Agostini concurrently managed the risks of ten (10) oil and gas tankers (maritime vessels). There is a sample of five (5) vessels here.

Continue reading “Oil and Gas Tankers (maritime vessels) that has benefited from Mr. Andres Agostini's White Swan Transformative and Integrative Risk Management.” »