Current Computing News and Events

Current Computing News and Events, Computing News Articles.
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Researchers create 'beautiful marriage' of quantum enemies
Cornell University scientists have identified a new contender when it comes to quantum materials for computing and low-temperature electronics. (2021-02-22)

D-Wave demonstrates performance advantage in quantum simulation of exotic magnetism
Researchers at D-Wave Systems published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical methods. This work was achieved on a practical application with real-world implications, simulating the topological phenomena behind the 2016 Nobel Prize in Physics. This performance advantage is a meaningful step in the journey toward applications advantage in quantum computing. (2021-02-18)

Quantum computing: when ignorance is wanted
Quantum technologies for computers open up new concepts of preserving the privacy of input and output data of a computation. Scientists from the University of Vienna, the Singapore University of Technology and Design and the Polytechnic University of Milan have shown that optical quantum systems are not only particularly suitable for some quantum computations, but can also effectively encrypt the associated input and output data. (2021-02-18)

Applying quantum computing to a particle process
A team of researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that occur at CERN's Large Hadron Collider. (2021-02-12)

Nanowire could provide a stable, easy-to-make superconducting transistor
MIT researchers developed a superconducting nanowire that could enable efficient, easy-to-make electronics. The advance could boost quantum computing, as well as magnetic sensors for applications in brain imaging and telescopes. (2021-02-11)

UMass Amherst team helps demonstrate spontaneous quantum error correction
Published by the journal Nature, research co-authored by University of Massachusetts Amherst physicist Chen Wang, graduate students Jeffrey Gertler and Shruti Shirol, and postdoctoral researcher Juliang Li takes a step toward building a fault-tolerant quantum computer. They have realized a novel type of QEC where the quantum errors are spontaneously corrected. (2021-02-11)

'Multiplying' light could be key to ultra-powerful optical computers
New type of optical computing could solve highly complex problems that are out of reach for even the most powerful supercomputers. (2021-02-08)

True identity of mysterious gamma-ray source revealed
An international research team including members from The University of Manchester has shown that a rapidly rotating neutron star is at the core of a celestial object now known as PSR J2039?5617 (2021-02-03)

The first steps toward a quantum brain
An intelligent material that learns by physically changing itself, similar to how the human brain works, could be the foundation of a completely new generation of computers. Radboud physicists working toward this so-called 'quantum brain' have made an important step. They have demonstrated that they can pattern and interconnect a network of single atoms, and mimic the autonomous behaviour of neurons and synapses in a brain. (2021-02-01)

New study investigates photonics for artificial intelligence and neuromorphic computing
Scientists have given a fascinating new insight into the next steps to develop fast, energy-efficient, future computing systems that use light instead of electrons to process and store information - incorporating hardware inspired directly by the functioning of the human brain. (2021-01-29)

Physicists develop record-breaking source for single photons
Researchers at the University of Basel and Ruhr University Bochum have developed a source of single photons that can produce billions of these quantum particles per second. With its record-breaking efficiency, the photon source represents a new and powerful building-block for quantum technologies. (2021-01-28)

An efficient tool to link X-ray experiments and ab initio theory
The electronic structure of complex molecules and their chemical reactivity can be assessed by the method of resonant inelastic X-ray scattering (RIXS) at BESSY II. However, the evaluation of RIXS data has so far required very long computing times. A team at BESSY II has now developed a new simulation method that greatly accelerates this evaluation. The results can even be calculated during the experiment. Guest users could use the procedure like a black box. (2021-01-28)

Cell 'bones' mystery solved with supercomputers
Supercomputer simulations allocated by XSEDE on TACC's Stampede2 have helped solve the mystery of how actin filaments polymerize. University of Chicago and Yale researchers employed all-atom molecular dynamics to show structural basis for polymerization kinetics at polarized ends of actin filaments. This fundamental research could be applied to treatments to stop cancer spread, develop self-healing materials, and more. (2021-01-26)

Designing customized "brains" for robots
MIT researchers have developed an automated way to design customized hardware that speeds up a robot's operation. The system, called robomorphic computing, accounts for the robot's physical layout in suggesting an optimized hardware architecture. (2021-01-21)

Light-induced twisting of Weyl nodes switches on giant electron current
Scientists at the U.S. Department of Energy's Ames Laboratory and collaborators at Brookhaven National Laboratory and the University of Alabama at Birmingham have discovered a new light-induced switch that twists the crystal lattice of the material, switching on a giant electron current that appears to be nearly dissipationless. (2021-01-19)

Diffractive networks light the way for optical image classification
There is renewed interest in optical computing due to its potential advantages, including parallelization, power-efficiency, and computation speed. Diffractive networks utilize deep learning-based design of successive diffractive layers to all-optically process information as the light is transmitted from the input to the output plane. UCLA researchers significantly improved the statistical inference performance of diffractive optical networks using feature engineering and ensemble learning, which is important for applications including all-optical object classification and computational imaging. (2021-01-13)

Using light to revolutionize artificial intelligence
An international team of researchers, including Professor Roberto Morandotti of the Institut national de la recherche scientifique (INRS), just introduced a new photonic processor that could revolutionize artificial intelligence, as reported by the prestigious journal Nature. (2021-01-11)

Accelerating AI computing to the speed of light
A University of Washington-led team has come up with a system that could help speed up AI performance and find ways to reduce its energy consumption: an optical computing core prototype that uses phase-change material. (2021-01-08)

'Virtual biopsies' could replace tissue biopsies in future thanks to new technique
A new advanced computing technique using routine medical scans to enable doctors to take fewer, more accurate tumour biopsies, has been developed by cancer researchers at the University of Cambridge. This is an important step towards precision tissue sampling for cancer patients to help select the best treatment. In future the technique could even replace clinical biopsies with 'virtual biopsies', sparing patients invasive procedures. (2021-01-06)

Light-carrying chips advance machine learning
An international team of researchers found that so-called photonic processors, with which data is processed by means of light, can process information very much more rapidly and in parallel than electronic chips. The results have been published in the scientific journal ''Nature''. (2021-01-06)

Physicists observe competition between magnetic orders
Two-dimensional materials, consisting of a single layer of atoms, have been booming in research for years. They possess novel properties that can only be explained with the help of the laws of quantum mechanics. Researchers have now used ultracold atoms to gain new insights into previously unknown quantum phenomena. They found out that the magnetic orders between two coupled thin films of atoms compete with each other. The study has been published in Nature. (2021-01-06)

Light-based processors boost machine-learning processing
An international team of scientists have developed a photonic processor that uses rays of light inside silicon chips to process information much faster than conventional electronic chips. Published in Nature, the breakthrough study was carried out by scientists from EPFL, the Universities of Oxford, M√ľnster, Exeter, Pittsburgh, and IBM Research - Zurich. (2021-01-06)

Researchers measure, model desalination membranes to maximize flow, clean more water
A team of researchers -- including engineers from Iowa State University -- have used transmission electron microscopy and 3D computational modeling to quantify and visualize why some desalination membranes work better than others. (2020-12-31)

DUAL takes AI to the next level
Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than state-of-the-art graphics processing units. The key is processing data where it is stored in computer memory and in an all-digital format. The researchers presented the new architecture, called DUAL, at the 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture. (2020-12-30)

Extremely energy efficient microprocessor developed using superconductors
Researchers from Yokohama National University in Japan have developed a prototype microprocessor using superconductor devices that are about 80 times more energy efficient than the state-of-the-art semiconductor devices found in the microprocessors of today's high-performance computing systems. (2020-12-28)

Seeking answers in ferroelectric patterning
Why do some ferroelectric materials display 'bubble'-shaped patterning, while others display complex, labyrinthine patterns? A FLEET/UNSW study finds the changing patterns in ferroelectric films are driven by non-equilibrium dynamics, with topological defects driving subsequent evolution. Understanding the physics behind ferroelectric material patterns is crucial for designing advanced low-energy ferroelectric electronics, or brain-inspired neuromorphic computing. (2020-12-18)

Tiny quantum computer solves real optimisation problem
Quantum computers have already managed to surpass ordinary computers in solving certain tasks - unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers at Chalmers University of Technology, Sweden, have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer. (2020-12-17)

Earable computing: A new research area in the making
Research Group (SyNRG) at UIUC is defining a new sub-area of mobile technology that they call ''earable computing.'' The team believes that earphones will be the next significant milestone in wearable devices, and that new hardware, software, and apps will all run on this platform. (2020-12-15)

Bristol researchers publish significant step toward quantum advantage
Researchers from the University of Bristol and quantum start-up, Phasecraft, have achieved a milestone in quantum computing research, accelerating the journey from theory to research to reality. (2020-12-10)

Discovery suggests new promise for nonsilicon computer transistors
An alloy material called InGaAs could be suitable for high-performance computer transistors, according to MIT researchers. If operated at high-frequencies, InGaAs transistors could one day rival those made of silicon. (2020-12-09)

A molecule like a nanobattery
How do molecular catalysts function, and what effects do they have? A team of chemical scientists at the University of Oldenburg has come closer to the answers using a model molecule that functions like a molecular nanobattery. It consists of several titanium centres linked to each other by a single layer of interconnected carbon and nitrogen atoms. The researchers' recently published findings combine the results of three multi-year PhD research projects. (2020-12-08)

One for all
AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists from the German Cancer Research Center (DKFZ) have now presented a new method for configuring self-learning algorithms for a large number of different imaging datasets - without the need for specialist knowledge or very significant computing power. (2020-12-07)

The same vision for all primates
Primates process visual information similar to pixels in a digital camera, using small computing units located in their visual cortex. Scientists of the University of Geneva have investigated whether these computational units scale across the large differences in size between primates. The gray mouse lemur is one of the smallest of them and his visual processing units reveals that all primates, independent of their body size, have an equivalent computational units. (2020-12-03)

New machine learning tool tracks urban traffic congestion
Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes. (2020-12-02)

Shrinking massive neural networks used to model language
Deep learning neural networks can be massive, demanding major computing power. In a test of the ''lottery ticket hypothesis,'' MIT researchers have found leaner, more efficient subnetworks hidden within BERT models. The discovery could make natural language processing more accessible. (2020-12-01)

Neuromorphic computing with memristors
In a paper published in NANO, researchers study the role of memristors in neuromorphic computing. This novel fundamental electronic component supports the cloning of bio-neural system with low cost and power. (2020-11-27)

Sun model completely confirmed for the first time
The Borexino experiment research team has succeeded in detecting neutrinos from the sun's second fusion process, the Carbon Nitrogen Oxygen cycle (CNO cycle) for the first time. This means that all of the theoretical predictions on how energy is generated within the sun have now also been experimentally verified. The findings are the result of years of efforts devoted to bringing the background sources in the energy range of the CNO neutrinos under control. (2020-11-26)

COVID19 A research of Politecnico di Milano discovering the secrets of viral sequences
Use of an algorithm for computing viral mutations homogeneously across sources, using cloud computing. (2020-11-23)

World's smallest atom-memory unit created
Faster, smaller, smarter and more energy-efficient chips for everything from consumer electronics to big data to brain-inspired computing could soon be on the way after engineers at The University of Texas at Austin created the smallest memory device yet. (2020-11-23)

New method brings physics to deep learning to better simulate turbulence
Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot be represented in detail mathematically on a computer. Researchers at the University of Illinois Urbana-Champaign developed a new method that brings physics into the machine learning process to make better predictions. The researchers used turbulence to test their method. (2020-11-16)

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