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Category: robotics/AI – Page 1,795

Six-Legged Robot Will Join the Winter Olympics to Show Its Expertise in Skiing Without Losing Balance

A few weeks ahead the Beijing 2022 Winter Olympics, Chinese engineers have presented a six-legged skiing robot that expertly slaloms down a snowy white slope in Shenyang, China. The team of engineers said that the robot stands on a pair of skis with four of its legs and grips poles using its two other limbs.

Researchers have put it to tests in both beginner and intermediate slopes and have proven to stay upright and avoid obstacles. The robot was developed by engineers from the Shanghai Jiao Tong University.

Robot performs first laparoscopic surgery without human help

A robot has performed laparoscopic surgery on the soft tissue of a pig without the guiding hand of a human—a significant step in robotics toward fully automated surgery on humans. Designed by a team of Johns Hopkins University researchers, the Smart Tissue Autonomous Robot (STAR) is described today in Science Robotics.

“Our findings show that we can automate one of the most intricate and delicate tasks in surgery: the reconnection of two ends of an intestine. The STAR performed the procedure in four animals and it produced significantly better results than humans performing the same procedure,” said senior author Axel Krieger, an assistant professor of mechanical engineering at Johns Hopkins’ Whiting School of Engineering.

The robot excelled at intestinal anastomosis, a procedure that requires a high level of repetitive motion and precision. Connecting two ends of an intestine is arguably the most challenging step in gastrointestinal surgery, requiring a surgeon to suture with high accuracy and consistency. Even the slightest hand tremor or misplaced stitch can result in a leak that could have catastrophic complications for the patient.

5 NEWEST Advanced ARMY ROBOTS 2022 | Boston Dynamics

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The United States military has a long record of being at the forefront of humankind’s technological achievements. For example, it was the U.S. Navy in the 1940s, led by Admiral Rickover, who pioneered the use of nuclear power as a propulsion device, and that eventually led to nuclear power plants for civilian use. Today, the military again leads the charge into the future with their innovations in robotics and their many applications across the entire infrastructure of the organization. We will talk about MAARS, Robobee, DOGO, SAFFiR and Gladiator!

#bostondynamics #bostondynamicsrobot #robotics.

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Feast Your Eyes Upon the World’s First 3D-Printed Steel Bridge

It looks whimsical, but it could be a blueprint for fixing our woeful infrastructure in the U.S.

After four long years of planning, the world’s first 3D-printed steel bridge debuted in Amsterdam last month. If it stands up to the elements, the bridge could be a blueprint for fixing our own structurally deficient infrastructure in the U.S.—and we sorely need the help.

Dutch Company MX3D built the almost 40-foot-long bridge for pedestrians and cyclists to cross the city’s Oudezijds Achterburgwal canal. It relied on four robots, fit with welding torches, to 3D-print the structure. To do it, the machines laid out 10,000 pounds of steel, heated to 2,732 degrees Fahrenheit, in an intricate layering process. The result? An award-winning design, pushing the boundaries of what steel can do.

What you need to know about China’s AI ethics rules

China is trailblazing AI regulation, with the goal of being the AI leader by 2030. We look at its #AI ethics guidelines.

The best agile and lean development conferences of 2022.

The European Union had issued a preliminary draft of AI-related rules in April 2021, but we’ve seen nothing final. In the United States, the notion of ethical AI has gotten some traction, but there aren’t any overarching regulations or universally accepted best practices.

Neural Noise Shows the Uncertainty of Our Memories

Scanning for Memories

At the time there was almost no evidence of this from neuron studies. But in 2006, Ma, Pouget and their colleagues at the University of Rochester presented strong evidence that populations of simulated neurons could perform optimal Bayesian inference calculations. Further work by Ma and other researchers over the past dozen years offered additional confirmations from electrophysiology and neuroimaging that the theory applies to vision by using machine learning programs called Bayesian decoders to analyze actual neural activity.

Neuroscientists have used decoders to predict what people are looking at from fMRI (functional magnetic resonance imaging) scans of their brains. The programs can be trained to find the links between a presented image and the pattern of blood flow and neural activity in the brain that results when people see it. Instead of making a single guess — that the subject is looking at an 85-degree angle, for instance — Bayesian decoders produce a probability distribution. The mean of the distribution represents the likeliest prediction of what the subject is looking at. The standard deviation, which describes the width of the distribution, is thought to reflect the subject’s uncertainty about the sight (is it 85 degrees or could it be 84 or 86?).

Facebook’s Meta Says Its New AI Supercomputer Will Beat All Rivals by 2022’s End

Could it really happen?Looks like Meta is swinging for the cheap seats.

Looks like Meta is swinging for the cheap seats.

The social media superpower Meta (formerly Facebook) has announced that it has built an “AI supercomputer” — an unconscionably fast computer designed to train and enhance machine-learning systems, according to a Monday post from Meta CEO Mark Zuckerberg.

“Meta has developed what we believe is the world’s fastest AI supercomputer,” said Zuckerberg in his post. “We’re calling it RSC for AI Research SuperCluster and it’ll be complete later this year.”

Studying the big bang with artificial intelligence

It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as “quark-gluon plasma”. Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN.

Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea. Ordinary machine-learning algorithms, however, are not suitable for this task. The mathematical properties of particle physics require a very special structure of neural networks. At TU Wien (Vienna), it has now been shown how neural networks can be successfully used for these challenging tasks in particle physics.

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