Bran + AI = Hybrid Intelligence ?
Researchers are making groundbreaking strides in developing interfaces between brain-on-a-chip biocomputers and electronic systems, enabling lab-grown brain organoids to interpret and respond to the world through digital signals. This innovative technology allows these miniature brain models to **interact with virtual and real environments**, perform tasks, and even learn through experience.
A team from Tianjin is at the forefront of this research, working with spherical brain organoids—a design also used by Indiana University. These round-shaped structures support rich neural networks, allowing for complex interactions within the organoid. To enhance their performance, researchers apply low-intensity focused ultrasound, which boosts their ability to process and learn information.
At the core of this system is MetaBOC, an advanced platform that integrates artificial intelligence to interpret signals from the brain cells and facilitate communication between the biological and digital realms.
One of the most exciting applications lies in robotics. The researchers have shown that a brain-on-a-chip system can effectively control a robot, performing tasks such as navigating obstacles, tracking objects, and manipulating items using robotic limbs. Because the organoids receive data as electrical signals, they can be trained in virtual simulations, reducing physical stress and preserving biological integrity.
It's worth noting that current visuals showing organoids in robotic systems are conceptual mockups, designed to represent future possibilities rather than functioning prototypes. For a more accurate view of current capabilities, look to examples from Cortical Labs, which showcase actual brain-on-chip systems in action.
As the line between biological intelligence and machine learning continues to blur, these developments mark a significant leap toward truly hybrid computational systems.
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