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Category: robotics/AI – Page 2064

D-Wave Systems today published a milestone study demonstrating a topological phase transition using its 2048-qubit annealing quantum computer. This complex quantum simulation of materials is a major step toward reducing the need for time-consuming and expensive physical research and development.

The paper, entitled “Observation of topological phenomena in a programmable lattice of 1,800 qubits”, was published in the peer-reviewed journal Nature. This work marks an important advancement in the field and demonstrates again that the fully programmable D-Wave quantum computer can be used as an accurate simulator of quantum systems at a large scale. The methods used in this work could have broad implications in the development of novel materials, realizing Richard Feynman’s original vision of a quantum simulator. This new research comes on the heels of D-Wave’s recent Science paper demonstrating a different type of phase transition in a quantum spin-glass simulation. The two papers together signify the flexibility and versatility of the D-Wave quantum computer in of materials, in addition to other tasks such as optimization and machine learning.

In the early 1970s, theoretical physicists Vadim Berezinskii, J. Michael Kosterlitz and David Thouless predicted a new state of matter characterized by nontrivial topological properties. The work was awarded the Nobel Prize in Physics in 2016. D-Wave researchers demonstrated this phenomenon by programming the D-Wave 2000Q system to form a two-dimensional frustrated lattice of artificial spins. The observed topological properties in the simulated system cannot exist without quantum effects and closely agree with theoretical predictions.

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Russia’s most famous weapons manufacturer has unveiled a 13ft tall walking killer robot operated by pilots who sit inside it.

Kalashnikov Concern presented the state-of-the-art bulletproof robot along with utility vehicles and new assault rifles at the Army 2018 fair at the Patriot Park just outside Moscow.

The gold robot, called Igorek, is still in development and its creators do not wish to reveal all of its features until they have finished.

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One of the most significant AI milestones in history was quietly ushered into being this summer. We speak of the quest for Artificial General Intelligence (AGI), probably the most sought-after goal in the entire field of computer science. With the introduction of the Impala architecture, DeepMind, the company behind AlphaGo and AlphaZero, would seem to finally have AGI firmly in its sights.

Let’s define AGI, since it’s been used by different people to mean different things. AGI is a single intelligence or algorithm that can learn multiple tasks and exhibits positive transfer when doing so, sometimes called meta-learning. During meta-learning, the acquisition of one skill enables the learner to pick up another new skill faster because it applies some of its previous “know-how” to the new task. In other words, one learns how to learn — and can generalize that to acquiring new skills, the way humans do. This has been the holy grail of AI for a long time.

As it currently exists, AI shows little ability to transfer learning towards new tasks. Typically, it must be trained anew from scratch. For instance, the same neural network that makes recommendations to you for a Netflix show cannot use that learning to suddenly start making meaningful grocery recommendations. Even these single-instance “narrow” AIs can be impressive, such as IBM’s Watson or Google’s self-driving car tech. However, these aren’t nearly so much so an artificial general intelligence, which could conceivably unlock the kind of recursive self-improvement variously referred to as the “intelligence explosion” or “singularity.”

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“This is the dark side of technological revolutions and that dark side has always been there,” Haldane added. “That hollowing out is going to be potentially on a much greater scale in the future, when we have machines both thinking and doing — replacing both the cognitive and the technical skills of humans.”

Haldane said that the so-called Fourth Industrial Revolution — a digitally-driven paradigm shift similar to previous industrial revolutions in the West — had the potential to displace numerous jobs and leave people “technologically unemployed.”

“Each of those [industrial revolutions] had a wrenching and lengthy impact on the jobs market, on the lives and livelihoods of large swathes of society,” Haldane told the BBC.

The BOE economist cautioned that previous industrial revolutions resulted in “heightened social tensions,” “financial tensions” and “inequality.” The First Industrial Revolution, which took place during the Victorian era, transformed Britain’s economy, leading to the creation of ground-breaking industrial innovations including the steam train and advanced machine tools, all the while resulting in layoffs especially in industries like textiles.

Continue reading “Bank of England’s chief economist warns A.I. could threaten ‘large’ amount of jobs” | >

We can’t turn back the clock, but neither is job insecurity inevitable. Just as the postwar period managed to make industrialization benefit industrial workers, we need to create new norms, institutions and policies that make digitization benefit today’s workers. Pundits have offered many paths forward — “portable” benefits, universal basic income, worker reclassification — but regardless of the option, the important thing to remember is that we do have a choice.

When we learn about the Industrial Revolution in school, we hear a lot about factories, steam engines, maybe the power loom. We are taught that technological innovation drove social change and radically reshaped the world of work.

Likewise, when we talk about today’s economy, we focus on smartphones, artificial intelligence, apps. Here, too, the inexorable march of technology is thought to be responsible for disrupting traditional work, phasing out the employee with a regular wage or salary and phasing in independent contractors, consultants, temps and freelancers — the so-called gig economy.

But this narrative is wrong. The history of labor shows that technology does not usually drive social change. On the contrary, social change is typically driven by decisions we make about how to organize our world. Only later does technology swoop in, accelerating and consolidating those changes.

Continue reading “It’s Not Technology That’s Disrupting Our Jobs” | >

Apple’s ARKit and Google’s ARCore may have multi-million-user installed bases, but so does Niantic’s Pokémon Go, the first hit augmented reality game. Now Niantic plans to offer its custom AR software to other developers as the Real World Platform, and is teasing advanced features that go beyond the capabilities of Apple’s and Google’s development kits.

Already used in Pokémon GO, Ingress, and Harry Potter: Wizards Unite, the Real World Platform is an evolving software engine that adds digital characters and shared social experiences to real-world map data. Niantic has recently bolstered the AR platform’s development team by acquiring computer vision specialist companies Escher Reality and Matrix Mill (which also has machine learning expertise).

Matrix Mill’s machine learning will power one of the Real World Platform’s upcoming tricks — a realtime AR occlusion engine. As demonstrated, the feature enables 3D versions of Pikachu and Eevee to disappear behind real world objects and people, even as both the camera and people move. Niantic is using a machine-trained neural network to determine which objects should be considered “foreground” or “background” versus the AR characters.

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“The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable,” says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.”

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more.

Find closed captions and translated subtitles in many languages at http://www.ted.com/translate

Follow TED news on Twitter: http://www.twitter.com/tednews

Continue reading “How AI can bring on a second Industrial Revolution | Kevin Kelly” | >

“The countries which have the capacity to bring that source from the moon to Earth will dictate the process,” said K Sivan, chairman of the Indian Space Research Organisation (ISRO). “I don’t want to be just a part of them, I want to lead them.”

The mission would solidify India’s place among the fleet of explorers racing to the moon, Mars and beyond for scientific, commercial or military gains. The governments of the US, China, India, Japan and Russia are competing with startups and billionaires Elon Musk, Jeff Bezos and Richard Branson to launch satellites, robotic landers, astronauts and tourists into the cosmos.

The rover landing is one step in an envisioned series for ISRO that includes putting a space station in orbit and, potentially, an Indian crew on the moon. The government has yet to set a timeframe.

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