In supersonic engines, achieving the right flow speed, producing the right ratio of evaporated fuel and causing ignition at the right time is complex. Vortices are affected by the shock wave, and this changes the way the fuel combusts and multiplies the number of possibilities of how particles can behave. To deepen our understanding, researchers use numerical modeling to calculate the huge variety of possible outcomes. They discuss their work in Physics of Fluids.
Researchers at Vanderbilt University Medical Center have found a way to search genetic data in electronic health records to identify undiagnosed genetic diseases in large populations so treatments can be tailored to the actual cause of the illness.
An international team led by researchers from the Spanish National Research Council (CSIC) has developed a method to measure the integration or segregation of immigrants based on the messages they write on the social network, Twitter.
Researchers at DOE's Oak Ridge National Laboratory (ORNL) have developed a novel method for more efficiently training large numbers of networks capable of solving complex science problems. Specifically, Mohammed Alawad, Hong-Jun Yoon, and Gina Tourassi of ORNL's Computer Science and Engineering Division, have demonstrated that by converting deep learning neural networks (DNNs) to 'deep spiking' neural networks (DSNNs) they can improve the efficiency of network design and training.
Kyoto University researcher reports on a new evaluation method for the type of AI that predicts yes/positive/true or no/negative/false answers.
While predictive policing aims to improve the effectiveness of police patrols, there is concern that these algorithms may lead police to target minority communities and result in discriminatory arrests. A computer scientist in the School of Science at IUPUI conducted the first study to look at real-time field data from Los Angeles and found predictive policing did not result in biased arrests.
Recent work from the National Centre for Biological Sciences (NCBS), Bangalore, has shown that the regeneration of a signaling molecule, phosphatidylinositol 4,5 bisphosphate (PIP2), is not as simple as it was thought to be. Experimental work from Raghu Padinjat's group and mathematical modelling by Sandeep Krishna's team from the Simons Centre for Living Machines at NCBS shows that the decades-old model of the biochemical cycle may have two unknown steps that could change the way scientists interpret experimental data.
The ability of artificial intelligence to help screen patients for a common diabetic eye disease gains momentum with a new study published online today in Ophthalmology, the journal of the American Academy of Ophthalmology. Lily Peng, M.D., Ph.D., and her colleagues at Google AI research group, show they could improve their disease-detecting software by using a small subset of images adjudicated by ophthalmologists who specialize in retinal diseases.
Richard Sowers, a professor of industrial and enterprise systems engineering and mathematics at the University of Illinois at Urbana-Champaign, and a team of students have developed an algorithm that promises to give valuable information to farmers of crops picked by hand.
Researchers have found that right whale calls, much like human voices, change as individuals age. In a study recently published in Animal Behaviour, scientists examined 986 high-quality calls from 49 individual North Atlantic right whales of known ages spanning from 1 month to 37 years. Calls made by whales younger than 1 year were shorter and less structured than adult sounds. As the animals matured their calls became more clear, with better defined structure and longer call durations.