A bio-inspired robot launches itself from the surface of water by using water from the environment to produce a gas.
A computational simulation suggests that insects may be capable of using the properties of light from the sky to determine their compass direction with an error of less than two degrees.
In recent years, the models used by hurricane forecasters to predict the paths of storms have gained considerable accuracy.
Over half of the world’s active volcanoes are not tracked using any instruments. Hence, even eruptions that could possibly have rung an alarm can take place without people at risk having an inkling of the imminent ...
Ozgur Sahi, associate professor of biological sciences and physics at Columbia University, conducted a research recently with colleagues in his laboratory to demonstrate the possibility of fabricating materials to make soft actuators that are flexible, strong, and most importantly resistant to water damage.
The world is full of despondently complicated systems: transportation systems, biological systems, financial systems, and so on. These so-called difficult systems—natural or man-made—are systems that are basically challenging to predict because of emergent collective dynamics impacted by external environmental parameters.
A study by German researchers from Jena and Hamburg, published recently in the journal Nature, reveals that artificial intelligence (AI) can considerably advance man’s insight into climate and the Earth system.
A fully autonomous bat-like terrestrial robot, named Robat, can use echolocation to move through a novel environment while mapping it solely based on sound, according to a study published in PLOS Computational Biology by Itamar Eliakim of Tel Aviv University, and colleagues.
Following a major earthquake, the surrounding area is usually prone to powerful aftershocks that can largely hinder the recovery efforts.
Researchers are creating a fleet of autonomous aerial drones that coordinate with each other to detect, track, and model the environment.