In December 2019, a new viral infection was detected in Wuhan, China. On January 30, 2020, the World Health Organization declared the outbreak a public health emergency of international concern, and on March 11, the COVID-19 pandemic. In light of the danger that the infection poses to human personnel, the idea to utilize automation in hospitals is one of the natural solutions in healthcare.
Spin waves could unlock the next generation of computer technology, a new component allows physicists to control them.
What are the most effective ways to leverage and augment smartphone capabilities? Helpful guidelines are provided in a critical review of emerging smartphone-based imaging systems recently published in the Journal of Biomedical Optics (JBO).
Hafnium-based thin films, with a thickness of only a few nanometres, show an unconventional form of ferroelectricity. This allows the construction of nanometre-sized memories or logic devices. However, it was not clear how ferroelectricity could occur at this scale. A study that was led by scientists from the University of Groningen showed how atoms move in a hafnium-based capacitor: migrating oxygen atoms (or vacancies) are responsible for the observed switching and storage of charge.
researchers in Germany have used Europe's most powerful high-performance computing (HPC) infrastructure to run new and more precise lattice quantum chromodynamics (lattice QCD) calculations of muons in a magnetic field. The team found a different value for the Standard Model prediction of muon behaviour than what was previously accepted.
A team of researchers from QuTech in the Netherlands reports realization of the first multi-node quantum network, connecting three quantum processors. In addition, they achieved a proof-of-principle demonstration of key quantum network protocols. Their findings mark an important milestone towards the future quantum internet and have now been published in Science.
Researchers develop new machine learning method to accurately predict battery state of health.
Rice University computer scientists have demonstrated artificial intelligence software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors.
Researchers have found a way to use chaos to help develop digital fingerprints for electronic devices that may be unique enough to foil even the most sophisticated hackers. Just how unique are these fingerprints? The researchers believe it would take longer than the lifetime of the universe to test for every possible combination available.
Ultrasound is widely used to detect breast cancer early, but misdiagnosis of benign lesions as malignant tumors sometimes leads to unnecessary biopsies. To tackle this problem, scientists conducted a large multi-center study involving 13 hospitals in China to train deep learning models to accurately classify breast masses. Their results, published in Chinese Medical Journal, showcase how artificial intelligence could find use as an assistive tool in ultrasound breast diagnosis and help alleviate workload of doctors.