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XReal’s AR glasses aim to be an affordable alternative to Apple’s pricier Vision Pro, CEO Chi Xu told Bloomberg.
The findings aren’t as simple as increased detection, seen with increases in late-stage cancer for white women and mortality among Black women.
RN, BSN, breelyn wilky, MD, denise castillo, tessa mcspadden, stephanie hill, MA, CCRP, and tiffany cull.
How can back-to-back atmospheric rivers impact the economy? This is what a recent study published in Science Advances hopes to address as a team of researchers led by Stanford University investigates the economic toll of back-to-back atmospheric rivers compared to single events. This study holds the potential to help scientists, the public, and city planners better prepare for atmospheric rivers, as they can cause widespread flooding in short periods of time.
For the study, the researchers analyzed data from the Modern-Era Retrospective Analysis for Research and Applications, version 2, (MERRA-2) between 1981 and 2021 and computer algorithms to ascertain the economic impact of atmospheric rivers throughout California. The goal was to ascertain how much worse back-to-back atmospheric rivers were compared to single events. The study’s findings discovered that back-to-back atmospheric rivers caused three times greater economic damage than single events, which is also higher when the first atmospheric river exhibits greater strength.
“Our work really shows that we need to consider the likelihood for multiple, back-to-back events for predicting damages, because damage from multiple events could be far worse than from one event alone,” said Dr. Katy Serafin, who is a coastal scientists and assistant professor in the Department of Geography at the University of Florida and a co-author on the study.
World Futures Day begins at 12 noon in New Zealand and moves each hour around the planet ending at 12 noon in Hawaii. If you would like to be a Facilitator at 12 noon in your time zone or in others, click here to sign up: https://docs.google.com/spreadsheets/d/1BEdW5rk_MOtGWuY-uGs_…edit#gid=0
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Would social robots speaking in a familiar accent or dialect enable you to trust them more, or perhaps perceive them to be smarter? This is what a recent study published in Frontiers in Robotics and AI hopes to address as a team of researchers led by the University of Potsdam in Germany investigated how a social robot’s dialect using a Nao robot impacted its interaction with a human counterpart. This study holds the potential to help scientists and the public better understand behavioral and social norms between humans and robots, especially with the rapid advancement of artificial intelligence (AI) around the world.
For the study, the researchers conducted a survey-based study with 120 German native speakers who lived either in Berlin or Brandenburg to determine their satisfaction level with a Nao robot speaking German in a Berlin accent, the latter of which is considered working-class and informal accent in Germany. The participants were asked to watch a video of the Nao robot and fill out the questionnaire regarding if they trusted or found the Nao robot to be smarter with the Berlin dialect. In the end, the researchers found a positive correlation between participants who spoke with a Berlin dialect and the Berlin-dialect Nao robot.
“If you’re good at speaking a dialect, you’re more likely to trust a robot that talks the same way,” said Katherine Kühne, who is a PhD student at the University of Potsdam and lead author of the study. “It seems people trust the robot more because they find a similarity.”
Plasmonics are special optical phenomena that are understood as interactions between light and matter and possess diverse shapes, material compositions, and symmetry-related behavior. The design of such plasmonic structures at the nanoscale level can pave the way for optical materials that respond to the orientation of light (polarization), which is not easily achievable in bulk size and existing materials.
In this regard, “shadow growth” is a technique that utilizes vacuum deposition to produce nanoparticles from a wide range of 2D and 3D shapes at nanoscale. Recent research progress in controlling this shadow effect has broadened the possibilities for the creation of different nanostructures.
Now, in twin studies led by Assistant Professor Hyeon-Ho Jeong from the Gwangju Institute of Science and Technology (GIST), Republic of Korea, researchers have comprehensively shed light on the recent advances in shadow growth techniques for hybrid plasmonic nanomaterials, including clock-inspired designs containing magnesium (Mg).
A team of researchers from the URV and the RMIT University (Australia) has designed and manufactured a surface that uses mechanical means to mitigate the infectious potential of viruses. Made of silicon, the artificial surface consists of a series of tiny spikes that damage the structure of viruses when they come into contact with it. The work is published in the journal ACS Nano.
The research has revealed how these processes work and that they are 96% effective. Using this technology in environments in which there is potentially dangerous biological material would make laboratories easier to control and safer for the professionals who work there.
Spike the viruses to kill them. This seemingly unsophisticated concept requires considerable technical expertise and has one great advantage: a high virucidal potential that does not require the use of chemicals. The process of making the virucidal surfaces starts with a smooth metal plate, which is bombarded with ions to strategically remove material.
Researchers at ETH Zurich have recently developed artificial muscles for robot motion. Their solution offers several advantages over previous technologies: It can be used wherever robots need to be soft rather than rigid or where they need more sensitivity when interacting with their environment.
Many roboticists dream of building robots that are not just a combination of metal or other hard materials and motors but also softer and more adaptable.
Soft robots could interact with their environment in a completely different way; for example, they could cushion impacts the way human limbs do, or grasp an object delicately. This would also offer benefits regarding energy consumption; robot motion today usually requires a lot of energy to maintain a position, whereas soft systems could store energy well, too. So, what could be more obvious than to take the human muscle as a model and attempt to recreate it?