Archive for the ‘computing’ category

Oct 1, 2022

How Bentley Systems’ 3DFT could conquer the infrastructure metaverse

Posted by in category: computing

Construction data can quickly scale into gigabytes and terabytes of data. The field is complicated because teams use various file formats to design, construct and operate a building or facility. Teams must often load the whole file into proprietary rendering tools before showing off a new design or collaborating on schedules. These files can be even more complex when building out large-scale digital twins of whole cities like Helsinki or Singapore.

Bentley Systems hopes to change that. At a technology demonstration event in London, Bentley showed off a new 3D streaming codec for the infrastructure metaverse called 3DFT. It’s already running on the Epic Unreal Engine, and Bentley plans to support other platforms down the road.

3DFT is not the first format for streaming metaverse data. The GIS industry has been streaming 2D data for years using tiles. And the Open Geospatial Consortium has been working on the 3D Tiles standard to extend streaming into the third dimension.

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Sep 30, 2022

Jennifer Garrison, Buck Institute | Reframing Health and Aging through the Lens of Reproduct

Posted by in categories: biotech/medical, computing, life extension, nanotechnology

Foresight Biotech & Health Extension Meeting sponsored by 100 Plus Capital.
Program & apply to join:

Jennifer Garrison, Buck Institute.
Reframing Health and Aging through the Lens of Reproduct.

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Sep 30, 2022

What is ‘dark data’? How digital information is quietly sapping energy

Posted by in categories: business, computing, finance, internet, space

Digitalization generated 4 percent of the total greenhouse emissions in 2020.

More than half of the digital data firms generate is collected, processed, and stored for single-use purposes. Often, it is never re-used. This could be your multiple near-identical images held on Google Photos or iCloud, a business’s outdated spreadsheets that will never be used again, or data from internet of things sensors that have no purpose.

This “dark data” is anchored to the real world by the energy it requires. Even data that is stored and never used again takes up space on servers — typically huge banks of computers in warehouses. Those computers and those warehouses all use lots of electricity.

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Sep 30, 2022

This New Liquid Is Magnetic, and Mesmerizing

Posted by in categories: computing, particle physics

Circa 2019

Lodestone, a naturally-occurring iron oxide, was the first persistently magnetic material known to humans. The Han Chinese used it for divining boards 2,200 years ago; ancient Greeks puzzled over why iron was attracted to it; and, Arab merchants placed it in bowls of water to watch the magnet point the way to Mecca. In modern times, scientists have used magnets to read and record data on hard drives and form detailed images of bones, cells and even atoms.

Throughout this history, one thing has remained constant: Our magnets have been made from solid materials. But what if scientists could make magnetic devices out of liquids?

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Sep 30, 2022

Drawing data at the nanometer scale

Posted by in categories: computing, materials

A method to draw data in an area smaller than 10 nanometers has been proposed in a recent study published in Physical Review Letters

A joint research team led by Professor Daesu Lee (Department of Physics) of POSTECH, Professor Se Young Park (Department of Physics) at Soongsil University, and Dr. Ji Hye Lee (Department of Physics and Astronomy) of Seoul National University has proposed a method for densely storing data by “poking” with a sharp probe. This method utilizes a material in the metastable state, whose properties change easily even with slight stimulation.

A thin film of metastable ferroelectric calcium titanate (CaTiO3) enables the polarization switching of a material even with a slight pressure of a probe: A very weak force of 100 nanonewtons (nN) is more than enough. The joint research team succeeded in making the width of the polarization path smaller than 10 nm by using this force and found the way to dramatically increase the capacity of data . This is because the smaller the size of the path, the more data the single material can store.

Sep 30, 2022

For the longest time: Quantum computing engineers set new standard in silicon chip performance

Posted by in categories: computing, quantum physics

Two milliseconds—or two thousandths of a second—is an extraordinarily long time in the world of quantum computing. On these timescales the blink of an eye—at one 10th of a second—is like an eternity.

Now a team of researchers at UNSW Sydney has broken new ground in proving that ‘spin qubits’—properties of electrons representing the basic units of information in quantum computers—can hold information for up to two milliseconds. Known as ‘coherence time’, the duration of time that qubits can be manipulated in increasingly complicated calculations, the achievement is 100 times longer than previous benchmarks in the same .

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Sep 29, 2022

Team develops method for neural net computing in water

Posted by in categories: chemistry, computing, mobile phones, neuroscience

Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid to process information.

Inspired by the brain, researchers have long been seeking to develop “ionics” in an . While ions in water move slower than electrons in semiconductors, scientists think the diversity of ionic species with different physical and chemical properties could be harnessed for richer and more diverse information processing.

Ionic computing, however, is still in its early days. To date, labs have only developed individual ionic devices such as ionic diodes and transistors, but no one has put many such devices together into a more complex circuit for computing until now.

Sep 28, 2022

Engineering robust and scalable molecular qubits

Posted by in categories: biological, computing, engineering, particle physics, quantum physics

The concept of “symmetry” is essential to fundamental physics: a crucial element in everything from subatomic particles to macroscopic crystals. Accordingly, a lack of symmetry—or asymmetry—can drastically affect the properties of a given system.

Qubits, the quantum analog of computer bits for quantum computers, are extremely sensitive—the barest disturbance in a qubit system is enough for it to lose any it might have carried. Given this fragility, it seems intuitive that would be most stable in a symmetric environment. However, for a certain type of qubit—a molecular qubit—the opposite is true.

Researchers from the University of Chicago’s Pritzker School of Molecular Engineering (PME), the University of Glasgow, and the Massachusetts Institute of Technology have found that molecular qubits are much more stable in an asymmetric environment, expanding the possible applications of such qubits, especially as biological quantum sensors.

Sep 28, 2022

Full control of a six-qubit quantum processor in silicon

Posted by in categories: computing, quantum physics, robotics/AI

Researchers at QuTech—a collaboration between the Delft University of Technology and TNO—have engineered a record number of six, silicon-based, spin qubits in a fully interoperable array. Importantly, the qubits can be operated with a low error-rate that is achieved with a new chip design, an automated calibration procedure, and new methods for qubit initialization and readout. These advances will contribute to a scalable quantum computer based on silicon. The results are published in Nature today.

Different materials can be used to produce qubits, the quantum analog to the bit of the classical computer, but no one knows which material will turn out to be best to build a large-scale quantum computer. To date there have only been smaller demonstrations of quantum chips with high quality qubit operations. Now, researchers from QuTech, led by Prof. Lieven Vandersypen, have produced a six qubit chip in silicon that operates with low error-rates. This is a major step towards a fault-tolerant quantum computer using silicon.

To make the qubits, individual electrons are placed in a linear array of six “” spaced 90 nanometers apart. The array of quantum dots is made in a silicon chip with structures that closely resemble the transistor—a common component in every computer chip. A quantum mechanical property called spin is used to define a qubit with its orientation defining the 0 or 1 logical state. The team used finely-tuned microwave radiation, magnetic fields, and electric potentials to control and measure the spin of individual electrons and make them interact with each other.

Sep 28, 2022

Latest Computer Vision Research Present a Novel Audio-Visual Framework, ‘ECLIPSE,’ for Long-Range Video Retrieval

Posted by in category: computing

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