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Machines are getting better and better at doing jobs that traditionally could only be done by humans. Largely this is thanks to advances in machine learning that have given us machines that are capable of using data to make decisions. As they are trained on more data — in simulated or real-world situations, they are able to do this with increasing proficiency. This is what we’ve come to refer to as artificial intelligence (AI) — the closest we’ve so far come to creating machines that are capable of learning, thinking, and deciding.

So is this unprecedented situation going to result in widespread human redundancy, with the associated damage and disruption to society that this would seem to entail? There are certainly some who think so. On the other hand, some believe it will lead to a new paradigm in human work and productivity, where machines take care of all the dirty, boring, and dangerous jobs, leaving us free to spend time on more rewarding creative, fun or social pursuits.

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A British-built robot that uses cameras and a robotic arm to create abstract art has been released after Egyptian authorities detained it at customs.

Ai-Da, named for the mathematician Ada Lovelace, was seized by border agents last week who feared her robotics may have been hiding covert spy tools.

Officials held the robot for 10 days, imperilling plans to show her work at the Great Pyramid of Giza on Thursday.

The North Atlantic Treaty Organization (NATO), the military alliance of 30 countries that border the North Atlantic Ocean, this week announced that it would adopt its first AI strategy and launch a “future-proofing” fund with the goal of investing around $1 billion. Military.com reports that U.S. Defense Secretary Lloyd Austin will join other NATO members in Brussels, Belgium, the alliance’s headquarters, to formally approve the plans over two days of talks.

Speaking at a news conference, Secretary-General Jens Stoltenberg said that the effort was in response to “authoritarian regimes racing to develop new technologies.” NATO’s AI strategy will cover areas including data analysis, imagery, cyberdefense, he added.

Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a shape-shifting material that can take and hold any possible shape, paving the way for a new type of multifunctional material that could be used in a range of applications, from robotics and biotechnology to architecture.

The research is published in the Proceedings of the National Academy of Sciences.

“Today’s -shifting materials and structures can only transition between a few stable configurations but we have shown how to create structural materials that have an arbitrary range of shape-morphing capabilities,” said L Mahadevan, the Lola England de Valpine Professor of Applied Mathematics, of Organismic and Evolutionary Biology, and of Physics and senior author of the paper. “These structures allow for independent control of the geometry and mechanics, laying the foundation for engineering functional shapes using a new type of morphable unit cell.”

Artificial intelligence is set to revolutionize the world, empowering those nations that fully harness its potential. The U.S. is still seen as the world AI leader, but China is catching up. The race is central to the U.S.-China rivalry and a critical facet of the economic and military competition that will define the decade.

#China2030 #AI #BloombergQuicktake.
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The MIT engineers are at it again — and this time, they’ve created a robotic cheetah that knows how to leap.

The designers installed a new system in the robot, dubbed the “mini cheetah,” that allows it to jump across gaps in the terrain, according to an MIT news release. The system relies on a real-time video sensor that detects potential obstacles like gaps and holes, and translates it into instructions on how the cheetah should react.

“In those settings, you need to use vision in order to avoid failure,” Gabriel Margolis, a professor of Computer Science and Artificial Intelligence at MIT, said in the release. “For example, stepping in a gap is difficult to avoid if you can’t see it. Although there are some existing methods for incorporating vision into legged locomotion, most of them aren’t really suitable for use with emerging agile robotic systems.”

The sale of the world’s first Intelligent Collectibles & 10,000 Personality Pods (AI Souls) for NFTs has brought in almost 4,000 ETH netting approximately 17 million USD in Primary and Secondary Sales to build a community owned Intelligent Metaverse.

NEW YORK, October 20th 2021 — Alethea AI concluded their 7-day auction and direct sale for two historic collections:

I) a first of its kind collection, “The Revenants”, which are a collection of one hundred Intelligent NFTs on October 19th.

As a robotics engineer, Yasemin Ozkan-Aydin, assistant professor of electrical engineering at the University of Notre Dame, gets her inspiration from biological systems. The collective behaviors of ants, honeybees and birds to solve problems and overcome obstacles is something researchers have developed in aerial and underwater robotics. Developing small-scale swarm robots with the capability to traverse complex terrain, however, comes with a unique set of challenges.

In research published in Science Robotics, Ozkan-Aydin presents how she was able to build multi-legged robots capable of maneuvering in challenging environments and accomplishing collectively, mimicking their natural-world counterparts.

“Legged robots can navigate challenging environments such as rough terrain and tight spaces, and the use of limbs offers effective body support, enables rapid maneuverability and facilitates obstacle crossing,” Ozkan-Aydin said. “However, legged robots face unique mobility challenges in terrestrial environments, which results in reduced locomotor performance.”

Known formally as additive manufacturing, or AM, in the business, the process can make almost anything—even a car.


“For our OEMs, we were able to show a print rate 50% faster than they needed for value production and an assembly rate about 35% faster than they need for full-volume production,” Kevin said. “We have a dozen programs for multi component structures,” said Kevin. “Our first production programs are going to be in vehicles on the road in early 2022. And these are with brands that are within groups that are in the top five global automotive groups by annual volume.”

So, just to review, it’s: computer-designed parts, 3D printers making those parts, which are assembled by robots, in a much smaller space than typical assembly lines.

So no more River Rouge. The Czingers say that carmakers could replace assembly lines that had been a mile long with assembly stations like the one I saw, greatly reducing the lead time, cost, and complexity of car making. And you can switch the car model that you’re building with every new assembly. No more downtime during model-year changeover. And all those spare parts carmakers have to keep in warehouses for 10 years? They will be replaced by instant 3D printing of whatever spare part you need.