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Category: computing – Page 227

Gotham City’s Dark Knight boasts an impressive collection of technological marvels, but the superhero scientists at the U.S. Department of Energy’s (DOE’s) National Renewable Energy Laboratory (NREL) have cutting-edge capabilities of their own.

A recent battery manufacturing project—affectionately called BatMan —has developed a novel laser patterning process to alter the microstructure of battery electrode materials. Funded by DOE’s Advanced Materials and Manufacturing Technologies Office, this project brings together expert minds from NREL, Clarios, Amplitude Laser Group, and Liminal Insights. This revolutionized manufacturing process could unlock significant improvements to electrified transportation, leading the charge toward a brighter and more sustainable future.

“BatMan builds on NREL’s expertise using laser ablation, advanced computational models, and materials characterization to address key challenges in battery manufacturing,” said Bertrand Tremolet de Villers, project co-lead and senior scientist in NREL’s Thin Film and Manufacturing Sciences group. “This new, high-throughput laser patterning process—demonstrated at scale with state-of-the-art roll-to-roll manufacturing techniques—uses laser pulses to quickly and precisely modify and optimize electrode structures, offering a massive leap in battery capabilities with minimal added manufacturing cost.”

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Shocking news: some folks who cashed out the eye-watering $3,500 — before tax! — to purchase Apple’s newly released Vision Pro are already showing some buyer’s remorse.

As Business Insider reports, a tide of users who quickly snatched up Apple’s expensive new face computer are returning the pricey headsets. Specific reasons for returning the devices vary, but across the board, it seems that many users just don’t think the uncomfortable devices are worth the hefty price tag — yet, at least.

As Insider notes, one of the most-cited cons to the Apple Pro is the headset’s weight. The thing is heavy, and though Apple’s attempted to offset the weight issue with what has to be the thickest head strap we’ve ever seen, the heft is a serious problem for users.

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Researchers from NYU discovered that classical computers could keep up with or even surpass quantum computers in certain circumstances. Classical computers can get a boost in speed and accuracy by adopting a new innovative algorithmic method, which could mean that they still have a future in a world of quantum computers.

Many experts believe that quantum computing is the future, and that we are veering away from classical computing, primarily because classical computers are significantly slower and weaker than their quantum-based counterparts. However, turns out that quantum computers are delicate and prone to information loss, and even if information is preserved it is difficult to convert it to classical information necessary for practical computation.

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Happy birthday, IBM! You’re 100 years old! Or are you?

It’s true that the businesses that formed IBM began in the late 1800s. But it’s also true that a birth occurred in February 1924, with the renaming of the Computing-Tabulating-Recording Co. as the International Business Machines Corp. And a hundred years after that event, it serves as an important reminder that the world of computing and IT that IBM played a pivotal role in building has a longer history than we are likely to think. “Data processing” was coined over a century ago, while “office appliance” was in use in the 1880s. From the 19th century, through the 20th, and into the 21st, IBM was there, making HP, Microsoft, and Apple appear more like children or grandchildren of the IT world; Facebook, Google, and Twitter/X more like great-grandchildren. So let’s take a moment to contemplate the origins of an iconic corporation.

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The advance will allow researchers to transform everyday materials into conductors for use in quantum computers. Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

“The materials we made are substances that exhibit unique electrical or quantum properties because of their specific atomic shapes or structures,” said Luis A. Jauregui, professor of physics & astronomy at UCI and lead author of the new paper.

“Imagine if we could transform glass, typically considered an insulating material, and convert it into efficient conductors akin to copper. That’s what we’ve done.”

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Mentalization – inferring other’s emotions and intentions – is crucial for human social interactions and is impaired in various brain disorders. While previous neuroscience research has focussed on static mentalization strategies, we know little about how the brain decides adaptively which strategies to employ at any moment of time. Here we investigate this core aspect of mentalization with computational modeling and fMRI during interactive strategic games. We find that most participants can adapt their strategy to the changing sophistication of their opponents, but with considerable individual differences. Model-based fMRI analyses identify a distributed brain network where activity tracks this mentalization-belief adaptation.

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Future quantum electronics will differ substantially from conventional electronics. Whereas memory in the latter is stored as binary digits, the former is stored as qubits, which can take many forms, such as entrapped electrons in nanostructures known as quantum dots. However, challenges in transmitting this information to anything further than the adjacent quantum dot have limited qubit design.

Now, in a study recently published in Physical Review Letters, researchers from the Institute of Industrial Science at the University of Tokyo are solving this problem, They developed a new technology for transmitting quantum information over perhaps tens to a hundred micrometers. This advance could improve the functionality of upcoming .

How can researchers transmit quantum information, from one quantum dot to another, on the same quantum computer chip? One way might be to convert electron (matter) information into light (electromagnetic wave) information—by generating light–matter hybrid states.

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