Researchers build a soft robot with neurologic capabilities by Staff Writers Houston TX (SPX) Oct 16, 2019
In work that combines a deep understanding of the biology of soft-bodied animals such as earthworms with advances in materials and electronic technologies, researchers from the United States and China have developed a robotic device containing a stretchable transistor that allows neurological function. Cunjiang Yu, Bill D. Cook Associate Professor of Mechanical Engineering at the University of Houston, said the work represents a significant step toward the development of prosthetics that could directly connect with the peripheral nerves in biological tissues, offering neurological function to artificial limbs, as well as toward advances in soft neurorobots capable of thinking and making judgments. Yu is corresponding author for a paper describing the work, published in Science Advances. He is also a principal investigator with the Texas Center for Superconductivity at the University of Houston. "When human skin is touched, you feel it," Yu said to describe the human capabilities the new device can mimic. "The feeling originates in your brain, through neural pathways from your skin to the brain." The findings have implications for neuroprosthetics, as well as for neuromorphic computing, an emerging technology with the potential to allow high volume information processing using small amounts of energy through devices that mimic the electric behavior of neural networks.
Inspired by Nature The transistor, described by researchers as having stretching characteristics similar to those in a rubber band, exhibited functions similar to those of biological synapses, including excitatory postsynaptic potential, current, facilitation, and short-term memory and long-term memory. The soft neurorobot was equipped with a neurologically integrated tactile sensory skin, allowing it to sense the interaction with the external environment and respond accordingly. "The neurorobot senses physical tapping and locomotes adaptively in a programmed manner through synapse memory encoded signals," the researchers wrote.
Facebook researchers use maths for better translations Paris (AFP) Oct 13, 2019 Designers of machine translation tools still mostly rely on dictionaries to make a foreign language understandable. But now there is a new way: numbers. Facebook researchers say rendering words into figures and exploiting mathematical similarities between languages is a promising avenue - even if a universal communicator a la Star Trek remains a distant dream. Powerful automatic translation is a big priority for internet giants. Allowing as many people as possible worldwide to communicate is no ... read more
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