Artificial intelligence in a chip powered by light


Monday, 14 December, 2020



Artificial intelligence in a chip powered by light

A team of Australian, American and Chinese researchers, led by RMIT University, has developed artificial intelligence technology that brings together imaging, processing, machine learning and memory in one electronic chip, powered by light.

The prototype shrinks artificial intelligence technology by imitating the way that the human brain processes visual information, combining the core software needed to drive artificial intelligence with image-capturing hardware in a single electronic device. It has been described in the journal Advanced Materials.

“Our new technology radically boosts efficiency and accuracy by bringing multiple components and functionalities into a single platform,” said lead researcher Associate Professor Sumeet Walia, from RMIT.

“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.”

Advancing AI

Typically artificial intelligence relies heavily on software and off-site data processing. The new prototype aims to integrate electronic hardware and intelligence together, for fast onsite decisions.

“Imagine a dash cam in a car that’s integrated with our neuro-inspired hardware — this means it can recognise lights, signs, objects and make instant decisions, without having to connect to the internet,” said Assoc Prof Walia, who co-leads the Functional Materials and Microsystems Research Group at RMIT.

“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 technology builds on an earlier prototype chip from the RMIT team, which used light to create and modify memories. New built-in features mean the chip can now capture and automatically enhance images, classify numbers and be trained to recognise patterns and images with an accuracy rate of over 90%. The device is also readily compatible with existing electronics and silicon technologies for effortless future integration.

See the light

The prototype is inspired by optogenetics, an emerging tool in biotechnology that allows scientists to delve into the body’s electrical system with great precision and use light to manipulate neurons.

The AI chip is based on an ultrathin material — black phosphorous — that changes electrical resistance in response to different wavelengths of light. The different functionalities such as imaging or memory storage are achieved by shining different colours of light on the chip.

Lead author Dr Taimur Ahmed, from RMIT, said light-based computing is faster and more accurate, and requires far less energy than existing technologies. He explained, “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.”

With further development, the light-driven prototype could enable smarter and smaller autonomous technologies like drones and robotics, plus smart wearables and bionic implants like artificial retinas.

Please follow us and share on Twitter and Facebook. You can also subscribe for FREE to our weekly newsletter and bimonthly magazine.

Related Articles

2D materials integrated into semiconductor manufacturing lines

Europe's Graphene Flagship has reported a new method to integrate graphene and 2D materials...

World's fastest optical neuromorphic processor revealed

The processor operates faster than 10 trillion operations per second (TeraOPs/s) and is capable...

Researchers find the 'sweet spot' for atom qubits in silicon

Researchers have located what they claim is the 'sweet spot' for positioning qubits in...


  • All content Copyright © 2021 Westwick-Farrow Pty Ltd