Tokyo, Japan - Researchers from Tokyo Metropolitan University have devised and implemented a simplified algorithm for turning freely drawn lines into holograms on a standard desktop CPU. They dramatically cut down the computational cost and power consumption of algorithms that require dedicated hardware. It is fast enough to convert writing into lines in real-time, and makes crisp, clear images that meet industry standards. Potential applications include hand-written remote instructions superimposed on landscapes and workbenches.
Developed by researchers at the University of São Paulo, the non-invasive methodology facilitates identification of immature or poor-quality seeds without destroying them or creating residues.
Solar energy is a clean, renewable source of electricity that could potentially play a significant part in fulfilling the world's energy requirements, but there are still some challenges to fully capitalizing on this potential. Researchers looked into some of the issues that hamper the uptake of solar energy and proposed different policies to encourage the use of this technology.
IIASA researchers worked with local stakeholders from the East African Community to explore and co-develop regional water scenarios that can enhance understanding of the up- and downstream water sector interactions in the extended Lake Victoria Basin to facilitate rational water resource planning.
Families want peace of mind that their elderly relatives are living well, and are maintaining a relatively active lifestyle. Although we can call them to check in on them, it is often not enough. To help overcome these problems, the researchers, from Lancaster University, working with technology company Howz have devised a new way of interpreting statistical data from smart home sensors.
Waves present an enormous challenge for the world's roughly 91,000 commercial vessels, but predicting sea conditions is challenging. A new approach uses the movements of ships themselves to create an online estimate of what kinds of waves ships can expect.
Researchers have developed a new statistical model that predicts which cities are more likely to become infectious disease hotspots, based both on interconnectivity between cities and the idea that some cities are more suitable environments for infection than others. Brandon Lieberthal and Allison Gardner of the University of Maine present these findings in the open-access journal PLOS Computational Biology.
Through new research published in EPJ E, researchers have produced a model which accurately accounts for the combined influences of chemotaxis and chemokinesis in bacteria swimming towards nutrients. The team's findings deliver new insights into how self-swimming microbes survive, particularly in harsher environments like soils and oceans.
Georgia Tech neuroscientists, using existing tools such as graphical models, can better identify cells in the brain. The algorithm has major implications for developmental diseases like Alzheimer's since once scientists can understand the mechanism of a disease, they can find interventions. The algorithm greatly accelerates the speed of analyzing whole-brain data and supports crowdsourcing where the larger neuroscience community can test the algorithm and build atlases.
Researchers improve their newly established quantum algorithm, bringing it to one-tenth the computational cost of Quantum Phase Estimation, and use it to directly calculate the vertical ionization energies of light atoms and molecules such as CO, O2, CN, F2, H2O, NH3 within 0.1 electron volts of precision.