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Category: robotics/AI – Page 1833

Insects typically have a variety of complex exoskeleton structures, which support them in their movements and everyday activities. Fabricating artificial exoskeletons for insect-inspired robots that match the complexity of these naturally-occurring structures is a key challenge in the field of robotics.

Although researchers have proposed several and techniques to produce exoskeletons for insect-inspired robots, many of these methods are extremely complex or rely on expensive equipment and materials. This makes them unfeasible and difficult to apply on a wider scale.

With this in mind, researchers at the University of California in San Diego have recently developed a new process to design and fabricate components for insect-inspired robots with structures. They introduced this process, called flexoskeleton printing, in a paper prepublished on arXiv.

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Lo sviluppo di biorobot autonomi compie un passo avanti grazie allo sviluppo di dispositivi robotici morbidi guidati dal tessuto neuromuscolare. Creati da un gruppo di ricerca dell’ Università dell’Illinois con a capo il professore di ingegneria meccanica e scienze meccaniche Taher Saif e il professore di bioingegneria Rashid Bashir, sono i primi biorobot semiautomatici capaci di muoversi autonomamente.

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The context: The vast majority of Facebook’s moderation is now done automatically by the company’s machine-learning systems, reducing the amount of harrowing content its moderators have to review. In its latest community standards enforcement report, published earlier this month, the company claimed that 98% of terrorist videos and photos are removed before anyone has the chance to see them, let alone report them.

So, what are we seeing here?: The company has been training its machine-learning systems to identify and label objects in videos—from the mundane, such as vases or people—to the dangerous, such as guns or knives. Facebook’s AI uses two main approaches to look for dangerous content. One is to employ neural networks that look for features and behaviors of known objects and label them with varying percentages of confidence (as we can see in the video, above.)

Training in progress: These neural networks are trained on a combination of pre-labelled videos from its human reviewers, reports from users, and soon, from videos taken by London’s Metropolitan Police. The neural nets are able to use this information to guess what the entire scene might be showing, and whether it contains any behavior or images that should be flagged. It gave more details on how its systems work at a press briefing this week.

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Have you ever dreamed of turning yourself into an inch-tall plastic figure who can’t bend their arms or legs, and must interact with the world using a pair of lobster-like claw hands? Lego’s new theme park, opening next year in New York, will make that dream a reality using sophisticated motion tracking and neural network facial recognition.

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The problem of surviving the end of the observable universe may seem very remote, but there are several reasons it may be important now: a) we may need to define soon the final goals of runaway space colonization and of superintelligent AI, b) the possibility of the solution will prove the plausibility of indefinite life extension, and с) the understanding of risks of the universe’s end will help us to escape dangers like artificial false vacuum decay. A possible solution depends on the type of the universe’s ending that may be expected: very slow heat death or some abrupt end, like a Big Rip or Big Crunch. We have reviewed the literature and identified several possible ways of survival the end of the universe, and also suggest several new ones. There are seven main approaches to escape the end of the universe: use the energy of the catastrophic process for computations, move to a parallel world, prevent the end, survive the end, manipulate time, avoid the problem entirely or find some meta-level solution.

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When competing, it makes sense to compete on/with that worth competing (for). AI or not, it doesn’t matter.

The South Korean Go champion Lee Se-dol has retired from professional play, telling Yonhap news agency that his decision was motivated by the ascendancy of AI.

“With the debut of AI in Go games, I’ve realized that I’m not at the top even if I become the number one through frantic efforts,” Lee told Yonhap. “Even if I become the number one, there is an entity that cannot be defeated.”

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The US Navy has awarded Boeing contracts worth a total of $274.4m to produce five Orca Extra Large Unmanned Undersea Vehicles (XLUUVs). Based on Boeing’s Echo Voyager prototype UUV, the 15.5m-long submersible could be used for mine countermeasures, anti-submarine warfare, anti-surface warfare, electronic warfare and strike missions. Berenice Baker finds out more.

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