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Artificial Intelligence Will Match Humans By 2062: Experts

Untangling the ethics of machine accountability will be the second fundamental shift in the world as we know it

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"A tectonic shift is happening in AI. Nearly 85 per cent of enterprises globally will use AI in some form or the other by 2020.

In less than 50 years, Artificial Intelligence (AI) will match humans on traits like adaptability, creativity and emotional intelligence, an expert has predicted.

Speaking at the “Festival of Dangerous Ideas” at University of New South Wales in Sydney on Sunday, Professor Toby Walsh said AI will match human intelligence by 2062.

“Toby Walsh, Scientia Professor of Artificial Intelligence at UNSW Sydney, has put a date on this looming reality.

“He considers 2062 the year that artificial intelligence will match human intelligence, although a fundamental shift has already occurred in the world as we know it,” the university said in a statement.

Walsh argued that we are already experiencing the risks of AI that seem to be so far in the future.

“Even without machines that are very smart, I’m starting to get a little bit nervous about where it’s going and the important choices we should be making”, said Walsh who has written a book “2062: The World that AI Made”.

The key challenge, according to him, will be to avoid the apocalyptic rhetoric of AI and to determine how to move forward in the new age of information.

Privacy concerns about the collection of personal data is nothing new.

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Walsh argued that we are already experiencing the risks of AI that seem to be so far in the future. Pixabay

Citing the Cambridge Analytica scandal, Walsh argues that we should be more sceptical about how data is misused by tech companies.

“A lot of the debate has focused on how personal information was stolen from people, and we should be rightly outraged by that,” Walsh told the audience.

“Many of us have smartwatches that are monitoring our vital signs; our blood pressure, our heartbeat, and if you look at the terms of service, you don’t own that data,” Walsh explained.

“You can lie about your digital preferences, but you can’t lie about your heartbeat,” he noted.

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Untangling the ethics of machine accountability will be the second fundamental shift in the world as we know it.

“Fully autonomous machines will radically change the nature of warfare and will be the third revolution in warfare,” Walsh said.

Walsh believes the issue is creating machines that are aligned with human values, which is currently a problem on other platforms driven by Artificial Intelligence. (IANS)

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Researchers Develop AI Algorithm That can Solve Rubik’s Cube in Less Than a Second

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems

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Researchers have developed an AI algorithm that can solve a Rubiks Cube in a fraction of a second, faster than most humans. The work is a step toward making AI systems that can think, reason, plan and make decisions.

The study, published in the journal Nature Machine Intelligence, shows DeepCubeA — a deep reinforcement learning algorithm programmed by University of California computer scientists and mathematicians — can solve the Rubik’s Cube in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.

This is no simple task considering that the cube has completion paths numbering in the billions but only one goal state – each of six sides displaying a solid colour – which apparently can not be found through random moves.

“Artificial Intelligence can defeat the world’s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik’s Cube, had not been solved by computers, so we thought they were open for AI approaches,” said study author Pierre Baldi, Professor at the University of California.

“The solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions,” Baldi said.

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“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

For the study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state about 60 per cent of the time.

The algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban.

The researchers were interested in understanding how and why the Artificial Intelligence (AI) made its moves and how long it took to perfect its method.

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“It learned on its own, our AI takes about 20 moves, most of the time solving it in the minimum number of steps,” Baldi said.

“Right there, you can see the strategy is different, so my best guess is that the AI’s form of reasoning is completely different from a human’s,” he added.

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems. (IANS)