Partly inspired by the dynamics of a flock of birds, engineers devised a computational method for drones to quickly record whether they are over water, oil or the edge of the spill. This simple information is shared with the other drones in the swarm, as opposed to sharing actual images or video, which would require too much bandwidth.
Researchers at Emory University and Georgia Tech demonstrated a connection between abnormal protein folding and the potential to kickstart chemical evolution in two new papers published by Nature Chemistry.
KAUST shows that anonymously pairing network users could expand the capability of the next generation of wireless networks.
In a recent study combining machine learning and bioinformatics, a new computational method was developed for modelling gene transfers between different lineages of a bacterial population or even between entirely different bacterial species. The method was used to analyze a collection of 616 whole-genomes of a recombinogenic pathogen Streptococcus pneumoniae.
Scientists at the Universities of York, Leeds, and Helsinki say they are a step closer to cracking, what researchers have dubbed, the 'enigma code' of the common cold virus.
New research supports a structure-based classification system for viruses which could help in the identification and treatment of emerging viruses.
Resource management boundaries seldom align with environmental systems, which can lead to scale mismatch or spatial misalignments. Researchers Jesse Sayles of McGill University and Jacopo Baggio of Utah State University employ analytic modeling to counter this challenge and foster collaboration and efficient coordination of stakeholders' joint restoration efforts.
A new report released today presents the first global map of transshipment, a major pathway for illegally caught and unreported fish to enter the seafood market. Also associated with drug smuggling and slave labor, it is Illegal in many cases, and has been largely invisible until now. Using an artificial intelligence system developed by Global Fishing Watch, data scientists have developed an automated process for identifying and tracking transshipment around the world.
University of Rochester computer scientists were able to shed light on how Trump won the presidential election by using data science to track the millions of Twitter followers who liked or 'unliked' the candidates throughout the campaign.
University of Tsukuba researchers developed an approach to measure the amount of active drag from the water to which swimmers are subjected. The approach involves connecting swimmers in a water flume to load cells in front of and behind them, to characterize the forward and backward forces they exert at different flow rates. This work may help elite swimmers fine-tune their swimming posture to minimize water resistance on the body.