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Category: computing

Researchers from the Graphene Flagship use layered materials to create an all-electrical quantum light emitting diodes (LED) with single-photon emission. These LEDs have potential as on-chip photon sources in quantum information applications.

Atomically thin LEDs emitting one photon at a time have been developed by researchers from the Graphene Flagship. Constructed of layers of atomically thin materials, including transition metal dichalcogenides (TMDs), graphene, and boron nitride, the ultra-thin LEDs showing all-electrical single photon generation could be excellent on-chip quantum light sources for a wide range of photonics applications for quantum communications and networks. The research, reported in Nature Communications, was led by the University of Cambridge, UK.

The ultra-thin devices reported in the paper are constructed of thin layers of different layered materials, stacked together to form a heterostructure. Electrical current is injected into the device, tunnelling from single-layer graphene, through few-layer boron nitride acting as a tunnel barrier, and into the mono- or bi-layer TMD material, such as tungsten diselenide (WSe2), where electrons recombine with holes to emit single photons. At high currents, this recombination occurs across the whole surface of the device, while at low currents, the quantum behaviour is apparent and the recombination is concentrated in highly localised quantum emitters.

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What is good for the simulation and the machine learning is, as it turns out, also good for the database. The performance and thermal limits of traditional CPUs have made GPUs the go-to accelerator for these workloads at extreme scale, and now databases, which are thread monsters in their own right, are also turning to GPUs to get a performance and scale boost.

Commercializing GPU databases takes time, and Kinetica, formerly known as GPUdb, is making a bit of a splash ahead of the Strata+Hadoop World conference next week as it brags about the performance and scale of the parallel database management system that it initially created for the US Army and has commercialized with the US Postal Service.

Kinetica joins MapD, which we profiled recently, and Sqream Technologies, which you can find out more about here, in using GPUs to execute the parallel functions of SQL queries to massively speed up the processing of queries against databases. Each of these GPU databases has come into being through a unique path, just like the pillars of the relational database world – Oracle’s eponymous database, IBM DB2, Microsoft SQL Server (and its Sybase forbear), MySQL, and PostgreSQL – did decades ago. And as these GPU databases mature and develop, the race will be on to scale them up and out to handle ever larger datasets and perform queries faster and faster at the same time.

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In an astonishing breakthrough, patients left paralysed by severe spinal cord injuries have recovered the ability to move their legs after training with an exoskeleton linked to their brain – with one even able to walk using two crutches.

Scientists developed the Walk Again Project, based in Sao Paulo, Brazil, thinking that they could enable paraplegics to move about using the exoskeleton controlled by their thoughts. But they were surprised to discover that during the training, the eight patients all started to regain the sense of touch and movement below the injury to their spine. It was previously thought that the nerves in seven of the patients’ spines had been completely severed.

But the researchers now believe that a few nerves survived and these were reactivated by the training, which may have rewired circuits in the brain. Writing in the journal Scientific Reports, they said: “While patient one was initially not even able to stand using braces when placed in an orthostatic posture, after 10 months of training the same patient became capable of walking using a walker, braces and the assistance of one therapist. “At this stage, this patient became capable of producing voluntary leg movements mimicking walking, while suspended overground.

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A brief introduction about brain research.

The human brain is more complex and has far more capacity than a billion dollar computer. So far the research done on the brain is still in its nascent stages. What mysteries and secrets it holds for humanity in the future remains one of the big questions.

The 21st century has been called the “Century of the Mind”. Research into the functions and capabilities of the wonderful organ that is the human brain will skyrocket with duration as mankind enters a new era in discovery and invention.

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New Delhi [India]: Knee replacement technology has undergone sea change with years passing by.

With time and progress in technology the surgeons and researchers are constantly working towards achieving perfection in each surgery. One such example is ‘Computer Navigated Knee Replacement Surgery.’

Pinless Computer Navigated Total Knee Replacement technology is used by Dr Anil Arora, the head of unit and lead consultant of department of Orthopedics at Max Super Specialty Hospital, for Knee Replacement, in North India.

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Microsoft has announced to solve’ cancer within the next decade by ‘reprogramming’ diseased cells like computer virus.

Researchers were able to prevent the death of neurons that causes ALS by introducing a genetic mutation to prevent the SOD1 protein from clumping.

The growing resistance of Gonorrhea, alarmed the researchers.

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TAIPEI — Leading graphics chip designer Nvidia said on Wednesday that it had formed a partnership with Foxconn Technology Group and Quanta Computer to develop servers that offer artificial intelligence capabilities.

“In the long term, artificial intelligence computing has the largest market potential, as every data center in the future will have artificial intelligence,” Chief Executive Jen-Hsun Huang told an audience at a tech forum in Taipei on Wednesday.

The development of next-generation technologies including connected devices, driverless cars and smart cities require servers that can handle massive amounts of data, images and videos.

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Multiferroics – materials that exhibit both magnetic and electric order – are of interest for next-generation computing but difficult to create because the conditions conducive to each of those states are usually mutually exclusive. And in most multiferroics found to date, their respective properties emerge only at extremely low temperatures.

Two years ago, researchers in the labs of Darrell Schlom, the Herbert Fisk Johnson Professor of Industrial Chemistry in the Department of Materials Science and Engineering, and Dan Ralph, the F.R. Newman Professor in the College of Arts and Sciences, in collaboration with professor Ramamoorthy Ramesh at UC Berkeley, published a paper announcing a breakthrough in multiferroics involving the only known material in which magnetism can be controlled by applying an electric field at room temperature: the multiferroic bismuth ferrite.

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