A single industry where people could always be much better than AI | Technological know-how Information

The recent increase of ChatGPT and other synthetic intelligence applications delivers each excitement and stress to the environment. Excitement for the prospects that these breakthrough systems present. Stress about how several of us will be built redundant by them. What are the positions that AI can choose and what are the work that AI are not able to?

If a new research research is something to go by there is just one industry wherever people are probably to excel a good deal much more than robots, at minimum for the time being—religion. Although people today could possibly obtain it facetious to simply call faith an sector, every religious group wants human beings to operate for it to operate. From monks to preachers, religion is sustained and propagated by the dependable initiatives of several.

Robot preachers and AI programs current new ways of sharing beliefs, but the examine released in the Journal of Experimental Psychology uncovered that they can erode the credibility and decrease the donations provided to religious teams that depend on them.

AI in faith

The Mindar humanoid robot at the Kodai-Ji Buddist temple in Kyoto has a humanlike silicone confront, shifting lips and blinking eyes. It is made use of to produce 25-moment Coronary heart Sutra sermons on Buddhist philosophy accompanied by a lights and audio demonstrate. It charge practically $1 million to produce and was developed in 2019 by a Japanese robotics crew that partnered with the temple.

But the review discovered that the price tag was considerably higher—the robot may possibly be decreasing donations to the temple. The scientists surveyed 398 members who were leaving the temple immediately after hearing a prayer that was delivered either by Mindar or a human priest. The previous uncovered Mindar considerably less credible and gave lesser donations than all those who listened to from a human priest.

A study conducted in a Taoist temple in Singapore delivered much the very same effects. Of the 239 participants, fifty percent read a sermon shipped by a humanoid robot identified as Pepper when the other 50 percent listened to a human priest. The

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Building a Computer With a Single Atom

A new study shows that even the most fundamental building blocks of matter, atoms, can serve as a computing repository where all input and output processing occurs through optical means.

New studies broaden the perspectives on what constitutes a “computer” and how small a computational unit can be.

When we define a “computer” as any device that processes information through input and output, it raises the questions of what objects can perform these computations and how small can these computers be. With transistors reaching the limits of miniaturization, finding answers to these questions becomes crucial, as they could lead to the development of a new computing paradigm.

In a new study published in the journal EPJ Plus by researchers from Tulane University in New Orleans, Louisiana, Gerard McCaul and his team demonstrate that atoms, one of the most basic building blocks of matter,  can act as a reservoir for computing where all input-output processing is optical.

“We had the idea that the capacity for computation is a universal property that all physical systems share, but within that paradigm, there is a great profusion of frameworks for how one would go about actually trying to perform computations,” McCaul says.

He adds that one of the most important of these frameworks is neuromorphic or reservoir computing with a neuromorphic computer aiming to mimic the brain. This concept underpins the explosive development of machine learning and AI in the last few decades and leads to a potentially non-linear computer where output is not linearly proportional to the input. This is desirable as it could lead to a computing architecture flexible enough that any given output can be achieved, given a suitable input.

“That is, if we want some given computational result, we are guaranteed that some input to the computation exists that will achieve it,” McCaul says. “This is impossible if our system only exhibits a linear response!”

The team proposed a non-linear single-atom computer with the input information encoded directly into light and the output also in the form of light. The calculation is then determined by filters that the light

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