Startup Cortical Labs unveiled DishBrain, a synthetic biological intelligence system capable of real-time use of adaptive computation inherent in a neuron to perform targeted tasks like playing a game of Pong.
The researchers used fetal material from mice and induced pluripotent stem cells of people. They integrated biological neural networks (BNNs) into a silicon chip designed to read and write information through electrophysiological stimulation. The engineers then placed the DishBrain in a simulated environment called Pong.
“We chose this arcade game because of its simplicity and popularity, and also because it is the first game used in machine learning,” said Brett Kagan, chief scientist at Cortical Labs.
The team has developed software that can read the electrical signals from the cages during firing and apply them to the game, namely to control the racket holding the ball in the air. The program also provides feedback and sends BNN information about changes in the simulated environment.
As a result, the neurons in DishBrain were able to adjust their activity and improve performance by demonstrating learning in five minutes of playing in the real world. By comparison, systems with a stimulus but no feedback showed no development.
The developers said that this purposeful change in behavior over time demonstrates the ability of cells to even petri dish exhibit a kind of rudimentary intelligence under the right conditions.
The technology could eventually be used to test treatments for neurodegenerative diseases, including dementia and epilepsy, according to Cortical Labs.
“We needed a system to test the ability to interact with neurons to demonstrate intelligence and purposeful activity. Now you need to explore [эти достижения] and continue to develop the technology to launch new applications,” Kagan said.
The team has already begun testing the system in other gaming environments. In the future, they hope to make the technology more accessible and reliable.
Recall that in September, DeepMind researchers developed AI agents capable of playing virtual football.
In July, OpenAI engineers trained an algorithm to mine resources, make diamond tools, hunt animals, and cook food in Minecraft.
In June 2021, Google Research researchers created an AI that works like a human brain.
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
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Startup Cortical Labs unveiled DishBrain, a synthetic biological intelligence system capable of real-time use of adaptive computation inherent in a neuron to perform targeted tasks like playing a game of Pong.
The researchers used fetal material from mice and induced pluripotent stem cells of people. They integrated biological neural networks (BNNs) into a silicon chip designed to read and write information through electrophysiological stimulation. The engineers then placed the DishBrain in a simulated environment called Pong.
“We chose this arcade game because of its simplicity and popularity, and also because it is the first game used in machine learning,” said Brett Kagan, chief scientist at Cortical Labs.
The team has developed software that can read the electrical signals from the cages during firing and apply them to the game, namely to control the racket holding the ball in the air. The program also provides feedback and sends BNN information about changes in the simulated environment.
As a result, the neurons in DishBrain were able to adjust their activity and improve performance by demonstrating learning in five minutes of playing in the real world. By comparison, systems with a stimulus but no feedback showed no development.
The developers said that this purposeful change in behavior over time demonstrates the ability of cells to even petri dish exhibit a kind of rudimentary intelligence under the right conditions.
The technology could eventually be used to test treatments for neurodegenerative diseases, including dementia and epilepsy, according to Cortical Labs.
“We needed a system to test the ability to interact with neurons to demonstrate intelligence and purposeful activity. Now you need to explore [эти достижения] and continue to develop the technology to launch new applications,” Kagan said.
The team has already begun testing the system in other gaming environments. In the future, they hope to make the technology more accessible and reliable.
Recall that in September, DeepMind researchers developed AI agents capable of playing virtual football.
In July, OpenAI engineers trained an algorithm to mine resources, make diamond tools, hunt animals, and cook food in Minecraft.
In June 2021, Google Research researchers created an AI that works like a human brain.
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
Found a mistake in the text? Select it and press CTRL+ENTER
