A new study by the University of Plymouth explains for the first time how quantum supercomputers could be helpful in the world of making and performing music
Researchers from Duke University propose a new approach to finding an optimal solution for controlling large numbers of robots collaboratively completing a set of complex linear temporal logic commands called STyLuS*, for large-Scale optimal Temporal Logic Synthesis, that can solve problems massively larger than what current algorithms can handle, with hundreds of robots, tens of thousands of rooms and highly complex tasks, in a small fraction of the time.
Residents in all 25 of the US counties hardest hit by COVID-19 began to limit their public movements six to 29 days before states implemented stay-at-home orders, according to Johns Hopkins University researchers.
Researchers have developed a computational model that helps users understand how changes in the nanostructure of materials affect their conductivity - with the goal of informing the development of new energy storage devices for a wide range of electronics.
Precision agriculture technologies can improve efficiency on smaller farms
Quantitative biologists from Northwestern combine precision measurements and mathematical models to uncover a common mechanism regulating gene expression during development.
Scientists at PPPL have gained new insight into a common type of plasma hiccup that interferes with fusion reactions. These findings could help bring fusion energy closer to reality.
EPFL professor Anthony Davison and co-authors provide a mathematical basis for concerns about ethical implications of AI.
Mathematicians based in Australia and China have developed a method to analyze the large amount of data accumulated during the COVID-19 pandemic. The technique, described in the journal Chaos, can identify anomalous countries -- those that are more successful than expected at responding to the pandemic and those that are particularly unsuccessful. The investigators analyzed the data with a variation of a statistical technique known as a cluster analysis.
Single sign-on systems (SSOs) allow us to login to multiple websites and applications using a single username and password combination. But these are third party systems usually handled by Big Tech companies who have been reported to gather and leak personal information without user consent. Now, researchers from Tokyo University of Science, Japan, have developed a new and secure single sign-on algorithm that eliminates all these problems.