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Quantum systems learn joint computing

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IMAGE: This picture shows the two qubit modules (red atom between two blue mirrors) that have been interconnected to implement a basic quantum computation (depicted as light blue symbol) over a.
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Credit: Stephan Welte, Severin Daiss (MPQ)
Today s quantum computers contain up to several dozen memory and processing units, the so-called qubits. Severin Daiss, Stefan Langenfeld, and colleagues from the Max Planck Institute of Quantum Optics in Garching have successfully interconnected two such qubits located in different labs to a distributed quantum computer by linking the qubits with a 60-meter-long optical fiber. Over such a distance they realized a quantum-logic gate - the basic building block of a quantum computer. It makes the system the worldwide first prototype of a distributed quantum computer. ....

Comunidad Autonoma De Cataluna , Stephan Welte , Philip Thomas , Emanuele Distante , Olivier Morin , Severin Daiss , Stephan Langenfeld , Lukas Hartung , Stefan Langenfeld , Gerhard Rempe , Institute Of Photonic Sciences Castelldefels , Network Modules , Max Planck Institute , Quantum Optics , Photonic Sciences , Quantum Logic Gate , Distant Quantum Network Modules , Chemistry Physics Materials Sciences , Technology Engineering Computer Science , காமுனிடட தன்னாட்சி டி கடலுள் , ஸ்டீபன் வெல்ட் , பிலிப் தாமஸ் , ஆலிவர் மோரின் , செவெரின் டைஸ் , ஸ்டீபன் லான்கென்பெல்த் , லுகாஸ் ஹர்டுங் ,

Revive the map: 4D building reconstruction with machine learning

Sharing the press release that I hope you will find interesting: A research team from Skoltech (Russia) and FBK (Italy) presented a method to derive 4D building models using historical maps and machine learning (ML). It is useful for understanding urban phenomena and changes that contributed to defining our cities actual shapes. ....

Cemre Ozdemir , Mathematics Statistics , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , கணிதம் புள்ளிவிவரங்கள் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , கணினி அறிவியல் , மல்டிமீடியா நெட்வொர்க்கிங் இடைமுகம் வடிவமைப்பு ,

'Trending' doctors' notes could help hospitals predict COVID-19 surges

A new study, published today in
Nature Digital Medicine, found that natural language processing (NLP) of information routinely recorded by doctors - as part of patients electronic health records - reveal vital trends that could help clinical teams forecast and plan for surges in patients.
The researchers from King s College London, King s College Hospital NHS Foundation Trust (KCH), and Guy s and St Thomas Hospital NHS Foundation Trust (GSTT), used NLP algorithms to translate the electronic notes made by doctors into a standardised, structured set of medical terms that could be analysed by a computer.
Tracking trends in patients
In the same way social media posts can be tracked and aggregated by hashtags , the researchers detected words or phrases that were trending in electronic health records at KCH and GSTT, during key stages of the COVID-19 pandemic last year. For instance, they tracked the number of patient records containing keywords for symptomati ....

City Of , United Kingdom , Richard Dobson , James Teo , King College London , King College Hospital , Foundation Trust , Nature Digital Medicine , College London , College Hospital , Clinical Director , Health Informatics , Medicine Health , Technology Engineering Computer Science , Research Development , Robotry Artificial Intelligence , நகரம் ஆஃப் , ஒன்றுபட்டது கிஂக்டம் , ரிச்சர்ட் டாப்சன் , ஜேம்ஸ் டேயொ , கிங் கல்லூரி லண்டன் , கிங் கல்லூரி மருத்துவமனை , அடித்தளம் நம்பிக்கை , இயற்கை டிஜிட்டல் மருந்து , கல்லூரி லண்டன் , கல்லூரி மருத்துவமனை ,

Strengthened by chaos, new super-hard materials will stir steel together

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IMAGE: A Tetris-like grid of high-entropy carbides (blue) and borides (red) is expected to produce super-hard materials that can literally stir two pieces of steel together.
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Credit: Duke University
A nationwide collaboration led by researchers at Duke University s Center for Autonomous Materials Design is working to synthesize inexpensive materials hard enough to literally stir two pieces of steel together with little wear and tear.
Funded by a five-year, $7.5 million grant through the Department of Defense s Multidisciplinary University Research Initiative (MURI) competition, the team will also develop a suite of AI-materials tools capable of the on-demand designing of similar materials with properties tailored to a wide range of applications. ....

United States , Douglas Wolfe , Donald Brenner , Jon Paul Maria , Stefano Curtarolo , William Fahrenholtz , Eva Zurek , Department Of Defense Multidisciplinary University Research Initiative , Department Of Defense , Pennsylvania State University , Duke University Center , Department Of Metals , Carolina State University , University At Buffalo , Missouri University Of Science , Duke University , Autonomous Materials Design , Multidisciplinary University Research Initiative , North Carolina State University , Missouri University , Cormac Toher , Penn State , Coatings Processing , Applied Research , Chemistry Physics Materials Sciences , Industrial Engineering Chemistry ,

The risks of communicating extreme climate forecasts

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For decades, climate change researchers and activists have used dramatic forecasts to attempt to influence public perception of the problem and as a call to action on climate change. These forecasts have frequently been for events that might be called apocalyptic, because they predict cataclysmic events resulting from climate change.
In a new paper published in the
International Journal of Global Warming, Carnegie Mellon University s David Rode and Paul Fischbeck argue that making such forecasts can be counterproductive. Truly apocalyptic forecasts can only ever be observed in their failure that is the world did not end as predicted, says Rode, adjunct research faculty with the Carnegie Mellon Electricity Industry Center, and observing a string of repeated apocalyptic forecast failures can undermine the public s trust in the underlying science. ....

United Kingdom , Paul Fischbeck , Paul Ehrlich , Decision Sciences , International Journal Of Global Warming , Carnegie Mellon University David Rode , Stanford University , Carnegie Mellon Electricity Industry Center , International Journal , Global Warming , Carnegie Mellon University , David Rode , Public Policy , Earth Day , Prince Charles , Atmospheric Science , Climate Science , Earth Science , Policy Ethics , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering , Climate Change , ஒன்றுபட்டது கிஂக்டம் , பால் அர்லி , முடிவு அறிவியல் , சர்வதேச இதழ் ஆஃப் உலகளாவிய வெப்பமயமாதல் ,