Scientists have recently developed an all-optical ultrafast imaging system with high spatial and temporal resolutions, as well as a high frame rate. Because the method is all-optical, it’s free from the bottlenecks that arise from scanning with mechanical and electronic components. Among the various parameters in photography, the sequential imaging of microscopic ultrafast dynamic processes…

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks. Researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging radiologist experts. The study, published today in Nature…

Losing particles can lead to positive, robust effects. An international collaboration has demonstrated a novel topology arising from losses in hybrid light-matter particles, introducing a new avenue to induce the highly-prized effects inherent to conventional topological materials, which can potentially revolutionise electronics. The study represents an experimental observation of a non-Hermitian topological invariant in a…

A new, miniature, low-frequency antenna with enhanced bandwidth will enable robust networking among compact, mobile robots in complex environments. In a collaborative effort between the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory and the University of Michigan, researchers developed a novel design approach that improves upon limitations of conventional antennas operating at low…

Something is different, and you can’t quite put your finger on it. But your robot can. Even small changes in your surroundings could indicate danger. Imagine a robot could detect those changes, and a warning could immediately alert you through a display in your eyeglasses. That is what U.S. Army scientists are developing with sensors,…

People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to explore the effects on the brain’s learning development. Using a neural network model that reproduces the brain on a computer, a group of researchers based at Tohoku…

Researchers have developed machine learning models that predict the likelihood of critical events and mortality in COVID-19 patients within clinically relevant time windows. «From the initial outburst of COVID-19 in New York City, we saw that COVID-19 presentation and disease course are heterogeneous and we have built machine learning models using patient data to predict…

The study of cellular dynamics is crucial to understand how cells develop and how diseases progress. Scientist have now created ‘scVelo’ — a machine learning method and open source software to estimate the dynamics of gene activity in single cells. This allows biologists to robustly predict the future state of individual cells. Single-cell velocity Researchers…

Scientists have launched a unique software that is able to perform highly complex simulations of a variety of biological processes. Agent-based simulations (ABS) are powerful computational tools that help scientists understand complex biological systems. These simulations are an inexpensive and efficient way to quickly test hypotheses about the physiology of cellular tissues, organs, or entire…

Getting to the doctor’s office for a check-up can be challenging for someone with a neurological disorder that impairs their movement, such as a stroke. But what if the patient could just take a video clip of their movements with a smart phone and forward the results to their doctor? Using rats that had incurred…