Google AI partnered with Stanford University and Boston Dynamics to create a system that allows a paralyzed human to control a robot with their brain. The system, called Brain-Machine Interface (BMI), was tested on an individual who had been paralyzed from the neck down for over seven years. The results of the study were published in the journal Nature..
Scientists have been working on developing a BMI for decades but the technology was not advanced enough to allow for real-time control of a robot. However, the recent advances in artificial intelligence (AI) have made this possible. AI is able to learn from data and improve its performance over time. This makes it ideal for controlling a BMI, which requires the system to be able to adapt to the user’s unique brain patterns..
In the study, the researchers used a combination of AI and machine learning to create a BMI system that was able to decode the user’s brain signals and translate them into commands for the robot. The system was then tested on the paralyzed individual, who was able to use it to control the robot’s movements with their thoughts..
The results of the study were groundbreaking. The paralyzed individual was able to use the BMI system to perform a variety of tasks, including reaching for objects, picking them up, and putting them down. The individual was also able to control the robot’s movement with a high degree of accuracy..
The study’s findings have the potential to revolutionize the lives of millions of paralyzed people. It could give them the ability to regain some of their independence and to interact with the world around them in a way that was previously impossible..
The BMI system is still in its early stages of development and there are still some challenges that need to be overcome. However, the study’s findings are a major step forward and provide hope for the future of paralyzed people..
