Monday October 15, 2018
Home Lead Story Humanity&#821...

Humanity’s days are numbered, Artificial Intelligence (AI) will cause mass extinction, warns Stephen Hawking

0
//
115
Scientist Stephen Hawking giving his views on the danger of Artificial Intelligence (AI)
Scientist Stephen Hawking giving his views on the danger of Artificial Intelligence (AI)
Republish
Reprint

London, Nov 3: Earth is becoming too small and humanity is bound to self-destruct, with Artificial Intelligence (AI) replacing us as the dominant being on the planet, according to scientist Stephen Hawking.

Professor Hawking says that our time on Earth is numbered after we passed the point of “no return”.

The theoretical physicist says that developments in AI have been so great that the machines will one day be more dominant than human beings, express.co.uk reported.

He told Wired Magazine: “I fear that Artificial Intelligence (AI) may replace humans altogether. If people design computer viruses, someone will design AI that improves and replicates itself.

“This will be a new form of life that outperforms humans.”

Hawking, 75, said that humans need to leave Earth if we are to continue as a species.

He said a new space programme should be humanity’s top priority “with a view to eventually colonising suitable planets for human habitation”.

This will allow us to leave Earth and colonise another planet to ensure our survival, otherwise there will be “serious consequences”.

Professor Hawking added: “I believe we have reached the point of no return. Our earth is becoming too small for us, global population is increasing at an alarming rate and we are in danger of self-destructing.”

Last year, at the opening of Cambridge University’s artificial intelligence centre, Professor Hawking said that AI could either be the best or worst invention humanity has ever made.

“This will be a new form of life that outperforms humans.”

“The potential benefits of creating intelligence are huge. We cannot predict what we might achieve, when our own minds are amplified by Artificial Intelligence (AI).

“Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation.

“And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed, In short, success in creating AI, could be the biggest event in the history of our civilisation.

“But it could also be the last, unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many.” (IANS)

Click here for reuse options!
Copyright 2017 NewsGram

Next Story

AI Helps Find Source Of Radio Bursts 3 Billion Light Years Away From Earth

The researchers developed the new, powerful machine-learning algorithm and reanalysed the 2017 data, finding an additional 72 bursts not detected originally.

0
Space, radio
'AI helps track down mysterious cosmic signals', Pixabay

Scientists say they have used artificial intelligence (AI) to discover 72 new fast radio bursts from a mysterious source about three billion light years away from Earth.

The initiative may advance the search to find signs of intelligent life in the universe, said researchers from the University of California, Berkeley in the US.

Fast radio bursts are bright pulses of radio emission mere milliseconds in duration, thought to originate from distant galaxies.

However, the source of these emissions is still unclear, according to the research published in The Astrophysical Journal.

Theories range from highly magnetised neutron stars blasted by gas streams from a nearby supermassive black hole, to suggestions that the burst properties are consistent with signatures of technology developed by an advanced civilization.

 

earth, radio
While most fast radio bursts are one-offs, the source here, FRB 121102, is unique in emitting repeated bursts. Wikimedia Commons

 

“This work is exciting not just because it helps us understand the dynamic behaviour of fast radio bursts in more detail, but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms,” said Andrew Siemion from the University of California – Berkele.

 

Researchers are also applying the successful machine-learning algorithm to find new kinds of signals that could be coming from extraterrestrial civilisations.

While most fast radio bursts are one-offs, the source here, FRB 121102, is unique in emitting repeated bursts.

This behaviour has drawn the attention of many astronomers hoping to pin down the cause and the extreme physics involved in fast radio bursts.

The AI algorithms dredged up the radio signals from data were recorded over a five-hour period in 2017, by the Green Bank Telescope in West Virginia in the US.

Radio
The researchers developed the new, powerful machine-learning algorithm and reanalysed the 2017 data, finding an additional 72 bursts not detected originally. (IANS)

An earlier analysis of the 400 terabytes of data employed standard computer algorithms to identify 21 bursts during that period.

“All were seen within one hour, suggesting that the source alternates between periods of quiescence and frenzied activity,” said Berkeley postdoctoral researcher Vishal Gajjar.

Also Read: HCL Launches AI Based ‘HCL Turbo’

The researchers developed the new, powerful machine-learning algorithm and reanalysed the 2017 data, finding an additional 72 bursts not detected originally.

This brings the total number of detected bursts from FRB 121102 to around 300 since it was discovered in 2012, researchers said. (IANS)