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Category: robotics/AI – Page 1966

Circa 2018

The experimental mastery of complex quantum systems is required for future technologies like quantum computers and quantum encryption. Scientists from the University of Vienna and the Austrian Academy of Sciences have broken new ground. They sought to use more complex quantum systems than two-dimensionally entangled qubits and thus can increase the information capacity with the same number of particles. The developed methods and technologies could in the future enable the teleportation of complex quantum systems. The results of their work, “Experimental Greenberger-Horne-Zeilinger entanglement beyond qubits,” is published recently in the renowned journal Nature Photonics.

Similar to bits in conventional computers, qubits are the smallest unit of in . Big companies like Google and IBM are competing with research institutes around the world to produce an increasing number of entangled qubits and develop a functioning quantum computer. But a research group at the University of Vienna and the Austrian Academy of Sciences is pursuing a new path to increase the information capacity of complex quantum systems.

The idea behind it is simple: Instead of just increasing the number of particles involved, the complexity of each is increased. “The special thing about our experiment is that for the first time, it entangles three photons beyond the conventional two-dimensional nature,” explains Manuel Erhard, first author of the study. For this purpose, the Viennese physicists used quantum systems with more than two possible states—in this particular case, the angular momentum of individual light particles. These individual photons now have a higher than qubits. However, the entanglement of these light particles turned out to be difficult on a conceptual level. The researchers overcame this challenge with a groundbreaking idea: a computer algorithm that autonomously searches for an experimental implementation.

Continue reading “One step closer to complex quantum teleportation” | >

Space architecture startup AI SpaceFactory achieved second place in the latest phase of a NASA-led competition, pitting several groups against each other in pursuit of designing a 3D-printed Mars habitat and physically demonstrating some of the technologies needed to build them.

With a focus on ease of scalable 3D-printing and inhabitants’ quality of life, as well as the use of modular imported goods like windows and airlocks, MARSHA lends itself impeccably well to SpaceX’s goal of developing a sustainable human presence on Mars as quickly, safely, and affordably as possible with the support of its Starship/Super Heavy launch vehicle.

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Circa 2018

Computer scientists have created an AI called Bayou that is able to write its own software code, reports Futurity. Though there have been attempts in the past at creating software that can write its own code, programmers generally needed to write as much or more code to tell the program what kind of applications they want it to code as they would write if they just coded the app itself. That’s all changed with Bayou.

The AI studies all the code posted on GitHub and uses that to write its own code. Using a process called neural sketch learning, the AI reads all the code and then associates an “intent” behind each. Now when a human asks Bayou to create an app, Bayou associates the intent its learned from codes on Github to the user’s request and begins writing the app it thinks the user wants.

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A great analogy can often be the key to innovation, making it possible to transfer knowledge from one domain to another. Now researchers have shown that rather than relying on eureka moments, crowdsourcing and AI can dramatically speed up the search for these parallels.

Examples of analogies leading to major breakthroughs range from Edison’s early work in motion pictures to Kepler’s elucidation of the laws of planetary motion. But being able to strip away superficial differences and understand the underlying similarities between solutions to diverse problems has so far largely relied on individual genius.

That doesn’t need to be the case, though, according to the authors of a recent paper in PNAS. By splitting the task up and leveraging the strengths of both crowdsourcing and AI, they were able to find novel analogies that could help solve a variety of problems in creative ways.

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As part of its effort to upgrade its manufacturing sector, the Chinese government started a campaign in 2014 with the overall aim gradually replace manual labour with robots, with the heavily industrialised provinces of Jiangsu, Zhejiang, and Guangdong among those introducing the new technology on a massive scale.

Companies, including iPhone manufacturer Foxconn, are turning to robots with around 100 million workers in China’s manufacturing industry under threat.

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