An electronic AI chip developed by researchers features artificial intelligence (AI), which mimics the thought process of the human brain and how it processes information displayed within vision.
Usually, AI heavily relies on off-site processing of data and software, however, this prototype is fused with a core AI software that has an image-capturing hardware into just one device, which makes the AI chipdelivers a functionality that is very brain-like.
“This prototype gets us a step closer to an AI device being all-in-one and inspired by the greatest computing innovation of nature – the human brain,” said by the team leader of the Australian, American, and Chinese researchers, Sumeet Walia.
This research has been led by RMIT University of Melbourne and has recently published in the journal of Advanced Materials. The design of this prototype has been inspired by the optogenetics, which is a biotechnology tool that’s emerging that allows the scientists in manipulating neurons by the use of light in the human body.
This AI chip imitates the behaviour of the optogenetics since it has been created using a material known to be an ultra-thin and black phosphorus, which makes the electrical resistance fluctuate as it depends on the variety of wavelengths of light.
The researchers have noted that shining different colors of light onto the chip helps in achieving different functionalities like memory storage or imaging, according to the sources of techradar.
“This prototype of ours shows the significant advancement we made towards the supreme of all electronics: a brain-on-a-chip that learns and processes from its own environment like how we do,” said by the lead author of the study, Dr. Taimur Ahmed.
The report has noted that this AI chip has been built based on a prototype from earlier of the RMIT, which also has used light for the creation and modification of its memories.
Other than the capturing and manipulation of images, the chip could now enhance them, classify the numbers, and be trained for the recognition of images and patterns making them over 90% of accuracy rate.
Dr. Ahmed has noted that the AI chip brings them closer by a significant range to a “brain-on-a-chip” that also learns from its own environment the same as how we process the information that lays before our eyes.
“What we are aiming for is the replication of the core feature on how our brains learn through embossing the vision as a memory. The prototype that has been developed so far makes to be a huge step forward nearing neurorobotics, technologies better for interaction with human-machines, and systems that are scalable and bionic,” agreed by Walia.
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