A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure, and for how long, whether or not they receive a heart transplant.
MIT engineers have developed a new virtual-reality training system for drones that enables a vehicle to 'see' a rich, virtual environment while flying in an empty physical space. The system, which the team has dubbed 'Flight Goggles,' could significantly reduce the number of crashes that drones experience in actual training sessions. It can also serve as a virtual testbed for any number of environments and conditions in which researchers might want to train fast-flying drones.
The sounds of amphibians are altered by the increase in ambient temperature, a phenomenon that, in addition to interfering with reproductive behaviour, serves as an indicator of global warming. Researchers at the University of Seville have resorted to artificial intelligence to create an automatic classifier of the thousands of frog and toad sounds that can be recorded in a natural environment.
The UK and large parts of northern Europe could become windier if global temperatures reach 1.5 degrees C above pre-industrial levels, according to a new study.
The team of researchers at Kaunas University of Technology, Lithuania are developing mathematical methods which could help diagnose breast cancer. Applying deep learning method, the researchers are aiming to 'teach' computers to recognize malignant lesions, which would allow at least partially automatize and enhance the accuracy of diagnosing breast cancer.
Do metastatic cancer tumors 'break bad' or are they 'born bad'? In a study publishing the week of May 14 in the Proceedings of the National Academy of Sciences, researchers found that in the colorectal tumors they examined, invasive cancers are born to be bad, and this tendency can potentially be identified at early diagnosis.
Identifying dengue fever 'hot spots' can provide a predictive map for outbreaks of chikungunya and Zika -- two other viral diseases that, along with dengue, are spread by the Aedes aegypti mosquito.
Researchers at the University of Southampton have developed a new computational way of analyzing X-ray images of lungs, which could herald a breakthrough in the diagnosis and assessment of chronic obstructive pulmonary disease (COPD) and other lung diseases.
Using machine-learning techniques, a research team has reconstructed a short movie of small, randomly moving discs from signals produced by rat retinal neurons. Vicente Botella-Soler of the Institute of Science and Technology Austria and colleagues present this work in PLOS Computational Biology.
Ants working together to carry a large piece of food get around obstacles by switching between two types of motion: one that favors squeezing the morsel through a hole and another to seek a path around the barrier. Jonathan Ron of the Weizmann Institute, Israel, and colleagues present these findings in PLOS Computational Biology.