Breakthrough in artificial biomimetic sight

Breakthrough in artificial biomimetic sight

In a new study published in February 2020 in the journal Science Advances , researchers report the development of a nanoscale device that acts like the brain's visual cortex to directly see things in its path. The scientists created a new superstructure through the use of two nanomaterials in tandem that could help to make a machine that uses AI to simulate a human mind's function. Researcher Jayan Thomas says, "This is a baby step toward developing neuromorphic computers, that can simultaneously process and memorize information. At some time in the future, this invention may help to make robots that can think like humans." The big advantage of the current approach is in its saving of energy for processing as well as the time required for computation. The UCF-developed device is an important step in the fields of AI and robotics. Sight devices, battles, and drones Another researcher, Tania Roy, predicted that the new technology might be applied to drones that can fly unaided to remote locations to find people in various dangerous situations. The problem with current drones is, she says, because "These drones need connectivity to remote servers to identify what they scan with their camera eye. Our device makes this drone truly autonomous because it can see just like a human." With earlier research, scientists succeeded in making a camera that can create an image of what is observed, and then upload it for processing and image recognition to a server. The current device, she says, not only sees the image but also instantly recognizes it. According to the researchers, this could also be extremely valuable for defense applications, such as helping soldiers see better on a battlefield. Another potential advantage is that, according to the co-first author Sonali Das, "Our device can sense, detect and reconstruct an image along with extremely low power consumption, which makes it capable for long-term deployment in field applications." Neuromorphic computing Neuromorphic, or brain-inspired, computing was first described by the scientists Carver Mead towards the second half of the 1980s. He conceived of systems with electronic analog circuits that do not use traditional on/off or binary signaling but instead exchange spurts of electrical impulses with intensities that vary with the stimulation. These so-called very-large-scale integration (VLSI) systems thus work like the neurological circuits in the brain. Such a computer contains multiple simple processors ('neurons') and memory structures ('synapses') that use simple signals to communicate. They are extremely important in and good at computing complex ongoing processes with a small set of simple computational premises. Neuromorphic engineering has been the dream of many scientists who look forward to designing a computer that can process and store data simultaneously to make vision possible, just as the human brain does. Today, even the best computers process data and store their information in separate locations. This affects their performance in terms of computing speed and doesn't make it possible to offer vision on par with the brain and eyes. Successful tests



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