The researchers tested the device’s accuracy by having it sense and recognize a mixed wavelength image - an ultraviolet number “3” and an infrared part that is the mirror image of the digit that were placed together to form an “8. This work was performed in close collaboration with YeonWoong Jung, an assistant professor with joint appointments in UCF’s NanoScience Technology Center and Department of Materials Science and Engineering, part of UCF’s College of Engineering and Computer Science. Key to the technology is the engineering of nanoscale surfaces made of molybdenum disulfide and platinum ditelluride to allow for multi-wavelength sensing and memory. Molla Manjurul Islam, the study’s lead author and a doctoral student in UCF’s Department of Physics, examines the retina-like devices on a chip. “There is no reported device like this, which can operate simultaneously in ultraviolet range and visible wavelength as well as infrared wavelength, so this is the most unique selling point for this device,” he says. “But in our case, with our device, it can actually see in the entire condition.” “If you are in your autonomous vehicle at night and the imaging system of the car operates only at a particular wavelength, say the visible wavelength, it will not see what is in front of it,” Islam says. “Now, by adding image sensing ability to them, we have synapse-like devices that act like ‘smart pixels’ in a camera by sensing, processing and recognizing images simultaneously.”įor self-driving vehicles, the versality of the device will allow for safer driving in a range of conditions, including at night, says Molla Manjurul Islam ’17MS, the study’s lead author and a doctoral student in UCF’s Department of Physics. “We had devices, which behaved like the synapses of the human brain, but still, we were not feeding them the image directly,” Roy says. The technology expands upon previous work by the research team that created brain-like devices that can enable AI to work in remote regions and space. ![]() And here, we have the capacity to do in-sensor computing using a single device on one small platform.” “Today, everything is discrete components and running on conventional hardware. “It will change the way artificial intelligence is realized today,” says study principal investigator Tania Roy, an assistant professor in UCF’s Department of Materials Science and Engineering and NanoScience Technology Center. The technology is very small, with hundreds of the devices fitting on a one-inch-wide chip. ![]() ![]() The technology is also very small, with hundreds of the devices fitting on a one-inch-wide chip. ![]() Current intelligent imaging technology, like what’s used in self-driving vehicles, requires separate sensing, memorization and processing of data.īy combining the three steps, the UCF-designed device is many times faster than current technology, the researchers say. Its uniqueness also comes from its ability to integrate three different operations into one. The device, which is detailed in a new study in the journal ACS Nano, also outperforms the eye in the number of wavelengths it can see, from ultraviolet to visible light and on to the infrared spectrum. The technology also has applications in self-driving vehicles and robotics. The development could lead to advanced AI that can instantly recognize what it sees, like automatic descriptions of pictures taken by a camera or phone. University of Central Florida researchers have developed a device for artificial intelligence that mimics the retina of the eye.
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