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One possible application of interest to researchers is bone healing. The idea is that the soft material, powered by the electroactive polymer, will be able to maneuver in spaces of complicated bone fractures and expand. When the material hardens, it can form the basis for building new bones. In their study, the researchers demonstrate that the material can wrap itself around chicken bones, and the artificial bone that develops later grows along with the animal’s bone. The developed biohybrid variable-stiffness actuators can be used in soft (micro-)robotics and as potential tools for bone repair or bone tissue engineering.

“By controlling how the material turns, we can make the microrobot move in different ways, and also affect how the material unfurls in broken bones. We can embed these movements into the material’s structure, making complex programs for steering these robots unnecessary”, says Edwin Jager.

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Tech companies continued to draw criticism for their roles in political and social scandals, most notably when whisteblower and former Facebook employee Frances Haugen testified to lawmakers. Undeterred, Facebook rebranded itself Meta and said it would now focus on building the metaverse. Twitter CEO Jack Dorsey stepped down and likewise changed the name of his company Square to Block in a not-so-subtle nod to the blockchain.

Meanwhile, volatile cryptocurrencies set new records, their prices jumping and crashing on a tweet. NFTs, a once-obscure type of cryptoasset, went on an eye-watering tear as redditors pushed meme stocks skyward. It was also the year of ever-bigger AI. Machine learning models surpassed a trillion parameters, designed computer chips, and tackled practical problems in biology, math, and chemistry. Elsewhere, billionaires went to space, regular folks bought 3D printed houses, fusion power attracted billions in investment, gene editing trials hit their stride, and “flying car” companies hit the New York Stock Exchange.

For this year’s list of fascinating stories in tech and science, we sifted our Saturday posts and selected articles that looked back to where it all began, glanced ahead to what’s coming, or otherwise stood out from the chatter to stand the test of time.

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Over the last several decades, I’ve witnessed a lot of change in the fields of machine learning (ML) and computer science. Early approaches, which often fell short, eventually gave rise to modern approaches that have been very successful. Following that long-arc pattern of progress, I think we’ll see a number of exciting advances over the next several years, advances that will ultimately benefit the lives of billions of people with greater impact than ever before. In this post, I’ll highlight five areas where ML is poised to have such impact. For each, I’ll discuss related research (mostly from 2021) and the directions and progress we’ll likely see in the next few years.

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Its aim is to help us understand the past and future of the universe.

You may have heard of the Dark Energy Spectroscopic Instrument (DESI) from the Lawrence Berkeley National Laboratory’s Department of Energy. We reported on the project all the way back in 2016 when the team of scientists launched 5,000 small robots into space to help develop the first map of the universe beyond earth.

Then, in 2017, we reported how the project had created a 3D map of our galaxy’s space dust. The map was successful at plotting each individual dust that exists in our galaxy in order to clear up the deep space view and measure the accelerating expansion rate of the universe.

Now, DESI has revealed that it has finally created the largest and most detailed map of the universe ever. As impressive as this achievement is, DESI notes that it’s only 10% done with its five-year mission.

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The project is called the Dark Energy Spectroscopic Instrument (DESI) and it’s run by the Lawrence Berkeley National Laboratory’s Department of Energy.

Continue reading “Astronomers Create Largest Ever 3D Map of the Cosmos” | >

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You are on the PRO Robots channel and in this issue we present you with high-tech news. New personal unmanned flying cars on the ground and in the air, details about Elon Musk’s robot, home robot for engineers, Boston Dynamics news and other bright events from the world of high technology in one issue!

0:00 In this video.
0:21 Volar two-seat flying car.
1:10 Tesla Bot.
1:46 Starlink.
2:18 Tesla.
2:55 Mighty delivery robot.
3:38 InnerSpace unmanned concept car.
4:35 Modular robotic arm with artificial intelligence.
5:30 Japan has developed a method that predicts the flight path of insect pests.
5:50 Boston Dynamics.
6:30 Artist Agnieszka Pilat.
7:14 Everdrone.
7:39 Heavy FB3 cargo drones.
8:12 Swifty semi-autonomous robotic system.
8:55 Unmanned tractor 8R
9:33 Electric robot cab without a steering wheel.
10:04 Smart speakers can be dangerous.

#prorobots #robots #robot #futuretechnologies #robotics.

Continue reading “What is Elon Musk’s Tesla Bot capable of? | Boston Dynamics News | High Tech News” | >

Robots taking advantage of the newest advances in Artificial Intelligence systems are expected to make a huge dent in the job market of 2022 as workers are wanting higher wages and better working conditions. These robots and AI’s outcompete and outright beat humans in many fields such as translation, self driving, news article reporting and more. It’s exciting to see where the field of Robotics and AI is going in the near future of 2022 predictions.
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TIMESTAMPS:
00:00 The Great Surge of 2022
00:53 All the jobs that will be taken over.
04:41 What robots mean for society.
06:22 The Robots have already won.
08:12 Last Words.
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#robots #ai #jobs

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A new technology solution that will provide low-power systems for use in bionic eyes, has been jointly developed by academics from the Harbin Institute of Technology in China and Northumbria University.

Working in partnership with a research group led by Professor PingAn Hu from the Harbin Institute, Northumbria’s Professor Richard Fu described their newly developed method for controlling the artificial synaptic devices used in bionic retinas, robots, and visual prostheses, as a “significant breakthrough.”

The team discovered that injecting elements of the soft metal, indium, into a two-dimensional (2D) material called molybdenum disulfide (MoS2), could improve electrical conductivity and reduce power consumption of the optical synapses used in the development of bionic eyes.

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There a spacecraft so far away in space it has become the first humanmade object to reach interstellar space. It is traveling out there among the stars, far from Earth, far from home. Voyager 1 is set to never return to our star system, let alone Earth. Its mission; to explore the most distant reaches of space.

September 5, 2020, marked 43 since NASA’s Voyager 1 spacecraft launched from Cape Canaveral. In 2012, the probe became the first object to enter an uncharted, never-before-seen region of space; interstellar space. More precisely, on August 25, 2012, at 122 astronomical units, the probe left the so-called heliopause, and so became the first to reach interstellar space.

Although it has made history and has nothing left to prove, the 722 kg robotic probe is still operational today, continuing its extended mission of locating and studying the limits of the solar system, including the Kuiper belt and beyond, as well as exploring immediate interstellar space, until one day, it runs out of fuel and waves back to Earth, one more time.

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Artificial intelligence doesn’t hold a candle to the human capacity for harm.

Over the last few years, there has been a lot of talk about the threat of artificial general intelligence (AGI). An AGI is essentially an artificial superintelligence. It is a system that is able to understand — or learn — any intellectual task that a human can. Experts from seemingly every sector of society have spoken out about these kinds of AI systems, depicting them as Terminator-style robots that will run amok and cause massive death and destruction.

Elon Musk, the SpaceX and Tesla CEO, has frequently railed against the creation of AGI and cast such superintelligent systems in apocalyptic terms. At SXSW in 2018, he called digital superintelligences “the single biggest existential crisis that we face and the most pressing one,” and he said these systems will ultimately be more deadly than a nuclear holocaust. The late Stephen Hawking shared these fears, telling the BBC in 2014 that “the development of full artificial intelligence could spell the end of the human race.”

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Fears of artificial intelligence run amok make for compelling apocalypse narratives, but the real dangers of artificial intelligence come more from humans than machines.

Continue reading “The Biggest Danger of AI Isn’t Skynet — It’s Human Bias That Should Scare You” | >