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.
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.
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.
Strategic vaccine delivery is critical to reducing COVID-19 transmission, mortality and long-term health impacts. A study published in PLOS Computational Biology by Sam Moore, Matt Keeling and colleagues at University of Warwick, United Kingdom suggests that prioritizing vaccine delivery to older age groups and the medically vulnerable has the greatest impact in minimizing loss of life.
Engineers and scientists from MIT and Georgia Tech are enabling near real-time modeling of wheels, treads, and desert animals traveling at high speeds across sandy terrains. "Dynamic Resistive Force Theory," or DRFT, provides a path to speedier granular modeling -- and help in designing optimal rough terrain vehicles, like Mars and lunar rovers.
A new study investigated the impact of Airbnb's algorithm on racial disparities among Airbnb hosts. Adopting the tool narrowed the revenue gap between White and Black hosts considerably, but because far fewer Black hosts used the algorithm, the revenue gap between White and Black hosts actually increased after the tool's introduction.
Who made more accurate predictions about the course of the COVID-19 pandemic - experts or the public? A study from the University of Cambridge has found that experts such as epidemiologists and statisticians made far more accurate predictions than the public, but both groups substantially underestimated the true extent of the pandemic.
Paid video streaming services on your television, smart phone or other devices are increasingly replacing traditional video entertainment platforms of cable, satellite and broadcast TV. The growth of these services, known in the industry as over-the-top (OTT) media services, may be accompanied by a rise in pirated content, particularly where access to those services may be restricted, a group of researchers has found.