The researchers from RMIT University have just developed a light-powered artificial intelligence technology. This AI chip will be able to do imaging, processing, machine learning, and managing memory. It will be able to mimic the human brain and its ability to process visual information. The team that has created this new technology is comprised of Australian, American, and Chinese researchers. Their study was published in the journal Advanced Materials.

Lead researcher Associate, Professor Sumeet Walia has stated:

“Our new technology radically boosts efficiency and accuracy by bringing multiple components and functionalities into a single platform. It’s getting us closer to an all-in-one AI device inspired by nature’s greatest computing innovation – the human brain. Our aim is to replicate a core feature of how the brain learns, through imprinting vision as memory. The prototype we’ve developed is a major leap forward towards neurorobotics, better technologies for human–machine interaction and scalable bionic systems.”

This new technology can integrate electronic hardware and intelligence, and also, it can use light to create and modify memories.

Professor Walia continues:

“Imagine a dash cam in a car that’s integrated with such neuro-inspired hardware – it can recognise lights, signs, objects and make instant decisions, without having to connect to the internet. By bringing it all together into one chip, we can deliver unprecedented levels of efficiency and speed in autonomous and AI-driven decision-making.”

The chip is built on an earlier prototype and it is designed to enhance images, manage numbers, and recognize patterns and images with an accuracy rate of over 90%.

Study lead author Dr. Taimur Ahmed:

“By packing so much core functionality into one compact nanoscale device, we can broaden the horizons for machine learning and AI to be integrated into smaller applications. Using our chip with artificial retinas, for example, would enable scientists to miniaturise that emerging technology and improve accuracy of the bionic eye. Our prototype is a significant advance towards the ultimate in electronics: a brain-on-a-chip that can learn from its environment just like we do.”


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