Within the Ohio State University’s Computational Memory Lab, Per Sederberg, Ph.D., studies the successes and failures of human memory. Part of his work includes developing computational models to link neural activity and behavior to guide experimental work.
When life-threatening weather events loom, forecasters warn citizens days, even weeks, beforehand so they can take action. It seems to work: We clear supermarket shelves, board up windows and even evacuate to higher ground ahead of the impending tempest to avoid danger.
Blind to bias in its threat to human life is another force of nature – epidemics.
The noise from jet-engine exhausts can cause substantial hearing loss for crewmen and airport personnel and activate restrictive regulations and/or fees for airlines. The large turbulent eddies within the jet plume—also known as large-scale coherent structures—produce the majority of the noise in the aft angles of the engine.
For all the different moving parts that go into mechanical engineering systems, the gas turbine is a relatively simple design: a large rotor fitted with vanes is made to revolve by a fast-moving gas flow.
In most of the standard equilibrium models used to explain equity market performance, the volatility of stock market returns is far too low. This muted volatility is closely related to the equity premium puzzle, a phenomenon whereby returns on “risky” stocks are historically much higher and more volatile than returns on “safer” government bonds.
To begin understanding dark matter in astrophysics, one must first step into a world where galaxies are considered small. The is the world that Annika Peter, Ph.D., and graduate student Stacy Kim are discovering more fully at The Ohio State University’s Center for Cosmology and AstroParticle Physics.
Machine-based speech separation, often referred to as “the cocktail party problem,” refers to the problem of using computers and other devices to separate target speech from interference caused by background noise.
A researcher at the University of Cincinnati is leveraging the compute and storage resources of the Ohio Supercomputer Center to simulate the behavior of elusive cosmic particles. The research team is studying the behavior and nature of neutrinos and the particles’ role in the balance between matter and antimatter.
Understanding the different categories of normal facial expressions of human emotion is essential for scientists and doctors in order to gain insights into human cognition and affect, as well as for the design of computational models and perceptual interfaces.
The analysis of biological and social networks has become increasingly important in recent years. Inferential and predictive statistical models that analyze networks have been put to use in such areas as epidemiology, public health, molecular biology and the social sciences.