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Category: computing – Page 476

Scientists Unravel “Hall Effect” Physics Mystery

A multinational group of scientists has made progress in the use of antiferromagnetic materials in memory storage devices.

Antiferromagnets are materials with an internal magnetic field induced by electron spin but virtually no external magnetic field. Since there is no external (or “long-range”) magnetic field, the data units, or bits, may be packed more densely inside the material, making them potentially useful for data storage.

The ferromagnets commonly utilized in typical magnetic memory devices are the opposite. These devices do have long-range magnetic fields produced by the bits that prevent them from being packed too tightly together since otherwise they would interact.

No VR or AR: A new pocket-size eyeglass will be just big screen experience in your eyes

You need to wait till 2023 to get them though.

Lenovo has unveiled its T1 Glasses at its Tech Life 2022 event and promises to place a full HD video-watching experience right inside your pockets, a company press release.

Mobile computing devices have exploded in the past few years as gaming has become more intense, and various video streaming platforms have gathered steam. The computing power of smartphones and tablets has increased manifold. Whether you want to ambush other people in an online shooting game or sit back and watch a documentary in high-definition, a device in your pocket can help you do that with ease.

However, what is missing is the large screen experience; with the T1 Glasses, Lenovo wants to deliver just that.

Computational model could speed development of semiconductors useful in quantum applications

Researchers from North Carolina State University used computational analysis to predict how optical properties of semiconductor material zinc selenide (ZnSe) change when doped with halogen elements, and found the predictions were confirmed by experimental results. Their method could speed the process of identifying and creating materials useful in quantum applications.

Creating semiconductors with desirable properties means taking advantage of point defects—sites within a material where an atom may be missing, or where there are impurities. By manipulating these sites in the material, often by adding different elements (a process referred to as “doping”), designers can elicit different properties.

“Defects are unavoidable, even in ‘pure’ ,” says Doug Irving, University Faculty Scholar and professor of materials science and engineering at NC State. “We want to interface with those spaces via doping to change certain properties of a material. But figuring out which elements to use in doping is time and labor intensive. If we could use a to predict these outcomes it would allow material engineers to focus on elements with the best potential.”

E-2D Advanced Hawkeye

The aircraft is one of Northrop Grumman’s best models.

The Northrop Grumman E-2 Hawkeye is an American all-weather, carrier-capable tactical airborne early warning aircraft. Its latest and most advanced version is the E-2D Advanced Hawkeye.

which features the AN/APY-9 radar (capable of detecting fighter-sized stealth aircraft), radio suite, mission computer, integrated satellite communications, flight management system, improved T56-A-427A engines, a glass cockpit and aerial refueling.

The E-2D Advanced Hawkeye provides warfighters with the necessary situational awareness to compress the time between initial awareness and active engagement.

The Large Hadron Collider

To smash atoms with unimaginable power.

Cern’s Large Hadron Collider (LHC) is back online after a three-year technical shutdown period. The expert scientists at the famous research facility ran the powerful accelerator at the end of April, and Run 3 physics started in early July. The entire process ran at the highest energy level ever achieved in an accelerator.

The LHC experiments are expected to collect so much data on nature at its smallest levels that it is measured in petabytes.

(LHC) is the world’s largest and most powerful particle accelerator. It consists of a 27-kilometre ring of superconducting magnets with a number of accelerating structures to boost the energy of the particles along the way.

Why ‘erasure’ could be key to practical quantum computing

Researchers have discovered a new method for correcting errors in the calculations of quantum computers, potentially clearing a major obstacle to a powerful new realm of computing.

In conventional computers, fixing is a well-developed field. Every cellphone requires checks and fixes to send and receive data over messy airwaves. Quantum computers offer to solve certain that are impossible for conventional computers, but this power depends on harnessing extremely fleeting behaviors of subatomic particles. These computing behaviors are so ephemeral that even looking in on them to check for errors can cause the whole system to collapse.

In a paper outlining a new theory for error correction, published Aug. 9 in Nature Communications, an interdisciplinary team led by Jeff Thompson, an associate professor of electrical and computer engineering at Princeton, and collaborators Yue Wu and Shruti Puri at Yale University and Shimon Kolkowitz at the University of Wisconsin-Madison, showed that they could dramatically improve a quantum computer’s tolerance for faults, and reduce the amount of redundant information needed to isolate and fix errors. The new technique increases the acceptable error rate four-fold, from 1% to 4%, which is practical for quantum computers currently in development.

Topological Neuron Synthesis

In a study published in Cell Reports, we present a novel algorithm for the digital generation of neuronal morphologies, based on the topology of their branching structure. This algorithm generates neurons that are statistically similar to the biological neurons, in terms of morphological properties, electrical responses and the connectivity of the networks they form.

This study represents a major milestone for the Blue Brain Project and for the future of computational neuroscience. The topological neuron synthesis enables the generation of millions of unique neuronal shapes from different cell types. This process will allow us to reconstruct brain regions with detailed and unique neuronal morphologies at each cell position.

The topological representation of neurons facilitates the generation of neurons that approximate morphologies that are structurally altered compared to healthy neuronal morphologies. These structural alterations of neurons are disrupting the brain systems and are contributing factors to brain diseases. The topological synthesis can be used to study the differences between healthy and diseased states of different brain regions and specifically, what structural alterations of neurons are causing important problems to the networks they form.

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