by Researchers at the Indiana University Luddy School of Informatics, Computing, and Engineering are overcoming the technical limitations of artificial intelligence (AI) computing hardware with the development of a hybrid system called Brainoware. Led by Associate Professor Feng Guo, the team is combining electronic hardware with human brain organoids to create a more efficient and advanced computing system.
To address this issue, engineers have created neuromorphic computing systems inspired by the structure and function of the human brain. However, these systems still have limits in emulating brain functions due to their reliance on digital electronic principles.
In response, Guo and his team have developed a hybrid neuromorphic computing system that combines a brain organoid with a multielectrode assay for data transmission. Brain organoids are 3D cell cultures derived from stem cells and contain various brain cell types and structures resembling those found in the human brain.
Brainoware utilizes a human brain organoid as an adaptive living reservoir for unsupervised learning. By processing spatiotemporal information through the neuroplasticity of the organoid, the system advances AI computing capabilities while minimizing energy consumption. The complexity of the biological neural networks within the organoids also enables fast learning.
The researchers demonstrated the potential of brain organoids to enhance reservoir computing, an artificial neural network that captures and remembers information based on electrical stimulations. Through a series of tests, Brainoware successfully recognized speech patterns and performed complex nonlinear mathematical equations.
Guo highlighted the effectiveness of electrical stimulation training in distinguishing an individual’s vowels from a pool of speakers. This training triggers unsupervised learning in the hybrid computing system, further improving its performance.
Dr. Guo has received prestigious grants for his previous groundbreaking work, including lab-on-a-chip technology with AI and an opioid overdose detection patch. Currently, his lab focuses on developing intelligent biomedical systems through the integration of AI, devices, sensors, and systems for applications in life sciences and translational medicine.
The development of Brainoware represents a significant advancement in the intersection of organoids and AI. By harnessing the capabilities of human brain organoids, this hybrid computing system has the potential to revolutionize AI computing, paving the way for more energy-efficient and intelligent technologies.
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1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
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