The project shows how neurons can be used to increase a computer’s ability to learn information. Using these neurons also dramatically reduces energy use.
The international team, led by scientists at Aston University, Loughborough University, and institutions in the United Kingdom, France, Spain and Switzerland, hopes that the combination of the power of the human brain and its ability to adapt to traditional electronics will revolutionize computing and artificial intelligence.
And he (David Saad) said David SaadMathematics professor at Aston University: Our goal is to harness the unparalleled computing power of the human brain to dramatically increase the power of computers to help us solve complex problems.
“We believe this project has the potential to break through the current limitations of processing capacity and energy consumption to bring about a paradigm shift in machine learning technology,” he added.
The Neu-ChiP project received 3.5 million euros in funding from the European Commission to explore the potential of the human mind in AI technology.
Neu-ChiP is the latest project in an emerging field known as neural computing that uses models inspired by the workings of the human brain.
Neural computing aims to simulate human nervous activity electronically, but it is hampered by limitations inherent in traditional electronics.
Compared to electronic devices, the human brain offers highly efficient information-processing capabilities that do not require complex cooling systems or huge energy requirements in order to operate.
Neural computing research is mostly focused on simulating the design of the brain, rather than leveraging its actual biological components, and this is where the Neu-ChiP project aspires.
Rémi Monasson, director of research at the National Center for Scientific Research in France, who is involved in the project, said: We will not be content with Neu-ChiP modeling a system made up of many exceptionally complex components – human neurons – but we’re trying to go further. that.
He added: Our goal is to push the nervous system into a state where it is able to perform non-intuitive arithmetic operations.
The study, which takes three years, begins with scientists trying to grow human brain stem cells via microchips, which are then taught to solve problems from the data. It is hoped that this will lead to advances in machine learning technology.
In addition to developing a new AI technology, the project is also expected to produce insights into how the brain works, which can also be used to develop stem cell-based therapies.
Dr Paul Roach, who leads the study, said: “The focus of this project is to revolutionize the way we analyze information using complex, custom-designed live neural circuits.