With the help of the Gordon supercomputer, researchers discover new ways to elucidate the creation of oligomers associated with Alzheimer's.
Researchers develop a simulated brain which they hope can be used to test new treatments for neurodegenerative diseases.
Researchers are using memristors, electronic microcomponents which imitate natural nerves, as key components to create a blueprint for an artificial brain.
New insight obtained by studying the gait of cockroaches could provide valuable information on how biological systems stabilize. The research could help to develop more stable robots and provide doctors with better understanding on human gait abnormalities.
Models of the human brain, patterned on engineering control theory, could assist researchers control neurological diseases, according researcher who is using mathematical models of neuron networks from which more complex brain models emerge.
New research shows how police forces might be able to target efforts to reduce violence and raise officer attention to dangerous areas with the help of high-powered computers. Using real police data, researchers were able to demonstrate the promise of computer models for targeting violent areas.
Researchers developed nanomachines which recreate principal activities of proteins. They present the first versatile and modular example of a fully artificial protein-mimetic model system.
Through a combination of genetic and psychological testing, researchers have identified factors that mitigate against PTSD. In combat, soldiers who avoided threats were more likely to develop PTSD as a result of traumatic experiences, the study found.
Rensselaer becomes the first university of receive a version of IBM's Watson system. Rensselaer hopes to find new uses for Watson and develop its cognitive capabilities, as well as using the system for Big Data research.
Simulating 25,000 generations of evolution within computers, researchers discover why biological networks tend to be organized as modules, a finding that will lead to a deeper understanding of the evolution of complexity.
