Many of today's scientific processes are simulated using computer-driven mathematical models. But for a model to accurately predict how air flow behaves at high speeds, for example, scientists need supplemental real life data. Providing validation data, using up-to-date methods, was a key motivating factor for a recent experimental study.
Read moreHydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management. The output from these models can inform policy and regulatory decisions regarding water and land management practices. Numerical models have become increasingly easy to employ with advances in computer technology and software with graphical user interface (GUI). While these technologies make the models more accessible, problems can arise if they are used by inexperienced modelers.
Read moreEngineers have solved a 50-year-old puzzle in signal processing. They've formulated the 'inverse chirp z-transform,' an algorithm related to one that's running on your cell phone right now. It took some computing power and some math expertise to do it.
Read moreAn artificial intelligence/machine learning model to predict which scientific advances are likely to eventually translate to the clinic has been developed.
Read moreAs tumor cells multiply, they often spawn tens of thousands of genetic mutations. Figuring out which ones are the most promising to target with immunotherapy is like finding a few needles in a haystack. Now a new model hand-picks those needles so they can be leveraged in more effective, customized cancer vaccines.
Read moreUsing virtual, cloud-based, interconnected computing techniques applied to 51,000 variables, researchers reduced the time needed to assess a cancer patient's tumor profile and suitability for clinical trials from 14 to 4 days. This method also increased two-fold, over a four-year period, the number of cases that could be assessed compared to conventional methods.
Read moreIn an effort to make robots more effective and versatile teammates for Soldiers in combat, researchers are on a mission to understand the value of the molecular living functionality of muscle, and the fundamental mechanics that would need to be replicated in order to artificially achieve the capabilities arising from the proteins responsible for muscle contraction.
Read moreScientists have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots.
Read moreResearchers have developed machine-learning algorithms that teach a computer system to analyze three-dimensional shapes of the branches and leaves of a plant. The study may help scientists better quantify how plants respond to climate change, genetic mutations or other factors.
Read moreData scientist have developed a model that utilizes publicly available data to accurately predict how lethal a terror organization will become in the future based on only its first 10 attacks.
Read more