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Category: robotics/AI – Page 1596

Machine learning is capable of doing all sorts of things as long as you have the data to teach it how. That’s not always easy, and researchers are always looking for a way to add a bit of “common sense” to AI so you don’t have to show it 500 pictures of a cat before it gets it. Facebook’s newest research takes a big step toward reducing the data bottleneck.

The company’s formidable AI research division has been working for years now on how to advance and scale things like advanced computer vision algorithms, and has made steady progress, generally shared with the rest of the research community. One interesting development Facebook has pursued in particular is what’s called “semi-supervised learning.”

Generally when you think of training an AI, you think of something like the aforementioned 500 pictures of cats — images that have been selected and labeled (which can mean outlining the cat, putting a box around the cat or just saying there’s a cat in there somewhere) so that the machine learning system can put together an algorithm to automate the process of cat recognition. Naturally if you want to do dogs or horses, you need 500 dog pictures, 500 horse pictures, etc. — it scales linearly, which is a word you never want to see in tech.

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Still calling 2025 for the debut of a robotic set of human level hands.

Although robotic devices are used in everything from assembly lines to medicine, engineers have a hard time accounting for the friction that occurs when those robots grip objects – particularly in wet environments. Researchers have now discovered a new law of physics that accounts for this type of friction, which should advance a wide range of robotic technologies.

“Our work here opens the door to creating more reliable and functional haptic and robotic devices in applications such as telesurgery and manufacturing,” says Lilian Hsiao, an assistant professor of chemical and biomolecular engineering at North Carolina State University and corresponding author of a paper on the work.

At issue is something called elastohydrodynamic lubrication (EHL) friction, which is the friction that occurs when two solid surfaces come into contact with a thin layer of fluid between them. This would include the friction that occurs when you rub your fingertips together, with the fluid being the thin layer of naturally occurring oil on your skin. But it could also apply to a robotic claw lifting an object that has been coated with oil, or to a surgical device that is being used inside the human body.

Continue reading “New Law of Physics Helps Humans and Robots Grasp the Friction of Touch” | >

Scientists from the University of Bristol’s Quantum Engineering Technology Labs (QETLabs) have developed an algorithm that provides valuable insights into the physics underlying quantum systems—paving the way for significant advances in quantum computation and sensing, and potentially turning a new page in scientific investigation.

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A seabed mining robot being tested on the Pacific Ocean floor at a depth of more than 4 km (13000 ft) has become detached, the Belgian company running the experimental trial said on Wednesday.

Global Sea Mineral Resources (GSR), the deep-sea exploratory division of dredging company DEME Group, has been testing Patania II, a 25-tonne mining robot prototype, in its concession in the Clarion Clipperton Zone since April 20.

The machine is meant to collect the potato-sized nodules rich in cobalt and other battery metals that pepper the seabed in this area, and was connected to GSR’s ship with a 5km cable.

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The project is a part of a much wider effort to bring artificial intelligence into the operating room. Using many of the same technologies that underpin self-driving cars, autonomous drones and warehouse robots, researchers are working to automate surgical robots too. These methods are still a long way from everyday use, but progress is accelerating.

Real scalpels, artificial intelligence — what could go wrong?

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Leading industrial companies are using artificial intelligence to analyze data from their manufacturing tracking systems to spot the causes of potential defects in real-time.

Robert Bosch GmbH is one of the latest to deploy AI to analyze data from its manufacturing execution systems, as the monitoring and tracking systems are called. General Electric Co. and Siemens AG have already deployed such systems.

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The head scientist of the US Space Force has an unusual idea for how to maintain military dominance: augmenting and upgrading human soldiers.

Speaking at an Air Force Research Laboratory event, Space Force chief scientist Joel Mozer suggested that we’re entering an era during which soldiers can become a “superhuman workforce,” according to Metro, thanks to new tech including augmented and virtual reality, sophisticated AI, and nerve stimulation.

“In the last century, Western civilization transformed from an industrial-based society to an information-based society,” Mozer said, “but today we’re on the brink of a new age: the age of human augmentation.”

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A team of scientists from the Max Planck Institute for Intelligent Systems (MPI-IS) have developed a system with which they can fabricate miniature robots building block by building block, which function exactly as required.

As one would do with a Lego system, the scientists can randomly combine individual components. The blocks or voxels—which could be described as 3D pixels—are made of different materials: from basic matrix materials that hold up the construction to magnetic components enabling the control of the soft machine. “You can put the individual soft parts together in any way you wish, with no limitations on what you can achieve. In this way, each has an individual magnetisation profile,” says Jiachen Zhang. Together with Ziyu Ren and Wenqi Hu he is first author of the paper entitled “Voxelated three-dimensional miniature magnetic soft machines via multimaterial heterogeneous assembly.” The paper was published in Science Robotics on April 28, 2021.

The project is the result of many previous projects conducted in the Physical Intelligence Department at MPI-IS. For many years, scientists there have been working on magnetically controlled robots for wireless medical device applications at the small scale, from millimeters down to micrometers size. While the state-of-the-art designs they have developed to date have attracted attention around the world, they were limited by the single material with which they were made, which constrained their functionality.

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Lauded for years as the system able to best prevent malware infection, macOS recently fell victim to an operating system vulnerability that hackers used to circumvent all of Apple’s system defenses.

Security researcher Cedric Owens discovered this bug in March 2021 while assessing Apple’s Gatekeeper mechanism, a safeguard that will only allow developers to run their on Macs after registering with Apple and paying a fee. Moreover, the company requires that all applications undergo an automated vetting process to further protect against malicious software.

Unfortunately, Owens uncovered a logic flaw in the macOS itself, rather than the . The bug allowed attackers to develop able to deceive the operating system into running their malware regardless of whether they passed Apple’s safety checks. Indeed, this flaw resembles a door that has been securely locked and bolted but still has a small pet door at the bottom through which you can break in or insert a bomb.

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