The online advertising business, led by companies like Google or Facebook, generated over $200 billion revenue in 2017, with an interanual growth over 15 percent. This online advertising explosion is raising serious data privacy concerns.
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.
To achieve breakthrough research results in various fields of modern science, it is vital to develop successful interdisciplinary collaborations. Long-term interaction of physicists from the Institute of Applied Physics of the Russian Academy of Sciences, researchers from Chalmers University of Technology and computer scientists from Lobachevsky University has resulted in a new software tool PICADOR developed for numerical modeling of laser plasmas on modern supercomputers.
Fungi may be harmful pathogens. On the other hand, they are used for the production of food or medicine and in bioengineering. In either case, it is required to precisely understand their growth mechanism. Researchers of Karlsruhe Institute of Technology (KIT) have made a big step forwards: Using high-performance light microscopy, they watched mold fungi as they grew in the cell. The findings are presented in Science Advances.
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.
How will the farms of the future feed a projected 9.8 billion people by 2050? Berkeley Lab's 'smart farm' project marries microbiology and machine learning in an effort to reduce the need for chemical fertilizers and enhance soil carbon uptake, thus improving the long-term viability of the land while increasing crop yields.
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.