A team of prestigious universities came together to create artificial neurons, the surprising thing about them is that it is capable of processing both important components such as light and electric signal. This development can contribute hugely to the computing domain.
Researchers from numerous prestigious institutions come together such as Oxford, the University of Taxes, and IBM Research Europe.
They developed thin artificial Neurons, they utilized extremely thin 2D (two-dimensional) elements to achieve it. The breakthrough was published in the Journal called Nature Nanotechnology.
The researchers want to create artificial neurons that can replicate the work of real neurons which will bring huge change in the field of computation, machine learning, and evolving artificial intelligence.
The process of replication of human neurons takes a challenging path, as creating an artificial system requires numerous elements. The researcher utilized memristors which have the capability of storing data. It is way faster and more energy efficient in incorporating machine learning where memory processing takes place.
The major challenge posed by the integration of neuronal signals can perform both tasks of feed-forward and feedback. Why was it crucial?
As it is integral in performing cognitive tasks. From basic to the intricate task performed by it. Researchers found way too intricate issues to introduce atomically thin material.
What it did was that it allowed neurons to process both light and electric signals.
The conventional neurons can process only electric signals now they can go beyond and process light as well.
This incorporation of light can be beneficial as light signals can work faster and data can move faster and be processed at much higher speed. These capabilities make it more rapid, speed will be enhanced and the efficiency of future-generation artificial intelligence will also be enhanced.
The ever-growing technology and need for the betterment of artificial intelligence such advanced technology requires faster processors which cannot work on traditional systems. To go beyond and find new technologies researchers like Harish Bhaskaran work with 2D technology to create more developed artificial intelligence systems.
2D material is created with only very few atoms which gives it the power to work with both electricity as well as light. The teachers used three types of material which are 2D such as graphene, tungsten, and molybdenum which assist to create a thatch work depending on light or electric signals. It’s not similar to digital storage which is commonly used rather it’s like the human brain’s analog working quite similar to neurons in the human brain. This research opened the avenue to create artificial neurons which can change the future of artificial intelligence
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