A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say.
MIT researchers have invented a way to integrate 'breadboards' -- flat platforms widely used for electronics prototyping -- directly onto physical products. The aim is to provide a faster, easier way to test circuit functions and user interactions with products such as smart devices and flexible electronics.
Complex networks are ubiquitous in the real world, from artificial to purely natural ones, and they exhibit very similar geometric properties. Algorithms based on quantum mechanics perform well on such networks, but their relationship with the geometrical characteristics of networks has remained unclear until now. Researchers from Tokyo University of Science have now shed light on these relationships, opening up new possibilities for the use of complex networks in various fields.
Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry.
UW researchers interviewed 22 athletes and staff members from three college athletics programs to see how collecting data from college athletes might encroach on their autonomy.
Whether it's coronavirus or misinformation, scientists can use mathematical models to predict how something will spread across populations. But what happens if a pathogen mutates, or information becomes modified, changing the speed at which it spreads? In a new study appearing in the Proceedings of the National Academy of Sciences, a team of Carnegie Mellon University researchers show for the first time how important these considerations are.
Bioinformatics scientists from ITMO University have developed a programming tool that allows for quick and effective analysis of genome data and using it as a basis for building the most probable models of demographic history of populations of plants, animals and people.
Scientists at Tokyo Institute of Technology have designed a novel processor architecture that can solve combinatorial optimization problems much faster than existing ones. Combinatorial optimization are complex problems that show up across many different fields of science and engineering and are difficult for conventional computers to handle, making specialized processor architectures very important.
Policymakers will need to step up to the challenges caused by significant shifts in fish species distributions caused by climate change.
Researchers at The University of Texas at San Antonio (UTSA) identified the best approach to help children operate augmented reality (AR). According to UTSA computer science experts, a major barrier into wider adoption of the technology for experiential learning is based on AR designs geared toward adults that rely on voice or gesture commands. By conducting in-classroom testing among elementary school students, UTSA researchers uncovered that AR programs are best delivered using controller commands, followed by programs that communicate with age-specific language.