Researchers discover people express more positive feelings towards a robot that would take care of them than a robot which needed their care.
Researchers show that when humans use brain-computer interface technology, the brain behaves much like it does when completing simple motor skills such as waving a hand. This technology could help improve the daily lives of those who are paralyzed or lost specific abilities due to neurodegenerative diseases.
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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.
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.
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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.
Researchers found that neurons team up together to sway particular outcomes in the brain and take over the nervous system in the name of their preferred action or behavior.
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Researchers attempt to improve robot behavior by means of perception models closer to those of humans. One of the experiments involves a robot simulation in which an agent has to discriminate between what we could call an acne pimple and a bite or lump on the skin.
Proof of concept: Researchers identify principles to support brain simulation models. Blue Brain Project has identified key principles that determine synapse-scale connectivity by virtually reconstructing a cortical microcircuit and comparing it to a mammalian sample. These principles now make it possible to predict the locations of synapses in the neocortex.
Scientists used an electronic prosthetic system to tap into existing circuitry in the brain at the cellular level and record the firing patterns of multiple neurons in the prefrontal cortex, the part of the brain involved in decision-making. They then “played” that recording back to the same brain area to electrically stimulate decision-based neural activity. Not only did it restore function, in some cases, it also improved it.