Single-photon imaging is the future of high-speed digital photography and vastly surpasses conventional cameras in low-light conditions. However, fixing the blurring caused by the motion of independent objects remains challenging. Recently, researchers at Tokyo University of Science developed an innovative deblurring approach that accurately estimates the motion of individual objects and adjusts the final image accordingly. Their strategy produces high-quality images even in complex dynamic scenes and may find applications in medicine, science, and security.
Meteorologists want to assess the accuracy of many different weather features within a model forecast compared to a verifying analysis based on real-world observations.
Climate change, a pandemic or the coordinated activity of neurons in the brain: In all of these examples, a transition takes place at a certain point from the base state to a new state. Researchers at the Technical University of Munich (TUM) have discovered a universal mathematical structure at these so-called tipping points. It creates the basis for a better understanding of the behavior of networked systems.
Researchers from AMOLF's Soft Robotic Matter group have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected these simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible. The results were published today in the scientific journal PNAS.
Researchers at the IST Austria led by Björn Hof reports that a small difference in epidemic mitigation levels can cause a discontinuous jump in infection numbers. The researchers show that limits in testing and contact tracing are responsible for this sudden change in the epidemic outcome. Testing followed up by contact tracing is extremely efficient in slowing down epidemics, however, once their limit is exceeded the epidemic accelerates resulting in a faster than exponential spread.
A new paper published in EPJ Plus by Raj Kumar Sadhu, Weizmann Institute of Science, Rehovot, Israel, takes a step towards a deeper understanding of how cells adhere to each other and their motility.
Machine learning software advances could help anesthesiologists optimize drug dose, potentially improving patient outcomes.
Informatics experts at the University of Sussex have developed a new computational model that demonstrates a long sought after link between insect and mammalian learning.
Calculations predict that atom-thin sheets of carbon chalcogenides will grow wider when stretched in any direction.
With state legislatures preparing for the once-a-decade redrawing of voting districts, a research team has developed a better computational method to help identify improper gerrymandering designed to favor specific candidates or political parties. In a recent article, researchers describe the improved mathematical methodology of an open source tool called Gerrychain, which can help observers detect gerrymandering in a voting district plan by creating an ensemble of alternate maps that also meet legal voting criteria.