A scientist from MSU developed an algorithm increasing the speed of calculation of cryptographic transformations based on elliptical curves that requires little computational power. An algorithm like that may be used as a security feature on the Internet of things and blockchain platforms. The results of the study were published in the Applied Mathematics and Computation magazine.
Army researchers have discovered that being initially uncertain when faced with making critical mission-related decisions based on various forms of information may lead to better overall results in the end.
Disaster-mitigation experts in Colorado State University's Walter Scott, Jr. College of Engineering wanted to bring attention to the complexity of the so-called wildland-urban interface of fires. They've developed a model that attempts to quantify the vulnerability of a community of homes to the spread of a fire. They hope their model could add to the strategic toolbox that protects lives and livelihoods from destructive fires.
Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new method developed by scientists at IST Austria and the MPI for Intelligent Systems is the first machine learning method that can use observations made under safe conditions to make accurate predictions for all possible conditions governed by the same physical dynamics.
University of Alberta researchers have used artificial intelligence to help identify patients suffering from schizophrenia and to ascertain if they would respond to treatment. Bo Cao, a psychiatry researcher in the U of A's Faculty of Medicine and Dentistry, led a research team that used a machine learning algorithm to examine functional magnetic resonance imaging (MRI) images of both newly diagnosed schizophrenia patients and healthy subjects.
Anyone who shops online is familiar with those 'top-rated' products or services that rise to the top of their search on e-commerce intermediary sites like Amazon or Expedia. So, do those rankings really help those products or services get sold? According to a new study, the answer is, 'yes' and 'no.'
A new study, published in the Journal of Wind Engineering & Industrial Aerodynamics, based on wind tunnel research on a peloton of 121 cyclists may explain why so few 'breakaways' in professional cycling races, like this year's Tour de France, are successful.
Two New Jersey Institute of Technology (NJIT) researchers, working with collaborators from the IBM Research Zurich Laboratory and the École Polytechnique Fédérale de Lausanne, have demonstrated a novel synaptic architecture that could lead to a new class of information processing systems inspired by the brain.
Using more than three million photographs from the citizen science project Snapshot Serengeti, researchers trained a deep learning algorithm to automatically identify, count and describe animals in their natural habitats. Results showed the system was able to automate the process for up to 99.3 percent of images as accurately as human volunteers.
Contrary to widely-held opinion, taking high school calculus isn't necessary for success later in college calculus -- what's more important is mastering the prerequisites, algebra, geometry, and trigonometry -- that lead to calculus. That's according to a study of more than 6,000 college freshmen at 133 colleges carried out by the Science Education Department of the Harvard Smithsonian Center for Astrophysics.