Scientists Create 'Biocomputer' with Lab-Grown Brain Tissue
2023-12-18
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1American researchers have combined lab-grown human brain tissue with computer hardware to create a working biocomputer.
2The scientists say brain cells used in the experiment were able to recognize speech and complete simple math problems.
3The team made brain-like tissue that took the form of what they called a "brain organoid."
4Harvard University's Stem Cell Institute explains that an organoid is a collection of individualized, complex cells that can be grown from stem cells in a lab.
5Under the right laboratory conditions, organoids can be made to look and even work similarly to real human tissue and organs.
6In this process, stem cells "can follow their own genetic instructions to self-organize," the Stem Cell Institute says.
7So far, scientists have been able to produce organoids that look like, or resemble, some organs.
8These organs include the brain, kidney, lung, stomach and liver.
9Such lab-created organoids are generally used to study how organs work without needing to experiment on actual organs.
10In the biocomputer experiment, the team said stem cells were able to form neurons similar to those found in the human brain.
11Neurons are electrically charged cells that transport signals to the brain and other parts of the body.
12Feng Guo led the experiment.
13He is a bioengineer and professor of Intelligent System Engineering at Indiana University Bloomington.
14His team recently published their research results in a study in Nature Electronics.
15The researchers attached the brain organoid to a set of traditional electronic computing circuits.
16The researchers call this system Brainoware.
17The system was used to establish communication between the organoid and electronic circuits.
18An artificial intelligence (AI) tool was used to help read the neural activity of the organoid.
19The scientists aim to build "a bridge between AI and organoids," Guo explained to Nature.
20Guo believes that combining organoids and computer circuits could provide additional speed and energy to improve the performance of AI computing systems.
21The study notes that adding human brain power might be able to help machines with the things they do not do as well as people.
22For example, the researchers said humans generally have a faster learning ability and use less energy thinking than computers do.
23During one part of the experiment, the team tested the Brainoware system's voice recognition ability.
24The team trained the system on 240 recordings of eight different voices.
25The researchers said the organoid produced different neural signals in reaction to the different voices.
26The accuracy level of the system reached 78 percent, Guo said.
27"This is the first demonstration of using brain organoids [for computing]," Guo told MIT Technology Review.
28He added, "It's exciting to see the possibilities of organoids for biocomputing in the future."
29Guo said these results persuaded his team that a brain-computer system can work to improve computing performance, especially for some AI jobs.
30But he noted the best accuracy rates recorded by the Brainoware system were still below the accuracy rates of traditional AI networks.
31Guo said this is one of the things his team plans to try to improve.
32Lena Smirnova is a developmental neuroscientist at Johns Hopkins University in Baltimore, Maryland.
33She told Nature that more research will be needed to improve such systems.
34But she said, "The study confirms some key theoretical ideas that could eventually make a biological computer possible."
35Smirnova noted that in earlier experiments, researchers have used other kinds of neuron cells to perform similar computational activities.
36But the latest study, she said, was the first to demonstrate this kind of performance in a brain organoid.
37I'm Bryan Lynn.
1American researchers have combined lab-grown human brain tissue with computer hardware to create a working biocomputer. 2The scientists say brain cells used in the experiment were able to recognize speech and complete simple math problems. 3The team made brain-like tissue that took the form of what they called a "brain organoid." Harvard University's Stem Cell Institute explains that an organoid is a collection of individualized, complex cells that can be grown from stem cells in a lab. 4Under the right laboratory conditions, organoids can be made to look and even work similarly to real human tissue and organs. In this process, stem cells "can follow their own genetic instructions to self-organize," the Stem Cell Institute says. 5So far, scientists have been able to produce organoids that look like, or resemble, some organs. These organs include the brain, kidney, lung, stomach and liver. Such lab-created organoids are generally used to study how organs work without needing to experiment on actual organs. 6In the biocomputer experiment, the team said stem cells were able to form neurons similar to those found in the human brain. Neurons are electrically charged cells that transport signals to the brain and other parts of the body. 7Feng Guo led the experiment. He is a bioengineer and professor of Intelligent System Engineering at Indiana University Bloomington. His team recently published their research results in a study in Nature Electronics. 8The researchers attached the brain organoid to a set of traditional electronic computing circuits. The researchers call this system Brainoware. The system was used to establish communication between the organoid and electronic circuits. An artificial intelligence (AI) tool was used to help read the neural activity of the organoid. 9The scientists aim to build "a bridge between AI and organoids," Guo explained to Nature. Guo believes that combining organoids and computer circuits could provide additional speed and energy to improve the performance of AI computing systems. 10The study notes that adding human brain power might be able to help machines with the things they do not do as well as people. For example, the researchers said humans generally have a faster learning ability and use less energy thinking than computers do. 11During one part of the experiment, the team tested the Brainoware system's voice recognition ability. The team trained the system on 240 recordings of eight different voices. The researchers said the organoid produced different neural signals in reaction to the different voices. The accuracy level of the system reached 78 percent, Guo said. 12"This is the first demonstration of using brain organoids [for computing]," Guo told MIT Technology Review. He added, "It's exciting to see the possibilities of organoids for biocomputing in the future." 13Guo said these results persuaded his team that a brain-computer system can work to improve computing performance, especially for some AI jobs. But he noted the best accuracy rates recorded by the Brainoware system were still below the accuracy rates of traditional AI networks. Guo said this is one of the things his team plans to try to improve. 14Lena Smirnova is a developmental neuroscientist at Johns Hopkins University in Baltimore, Maryland. She told Nature that more research will be needed to improve such systems. But she said, "The study confirms some key theoretical ideas that could eventually make a biological computer possible." 15Smirnova noted that in earlier experiments, researchers have used other kinds of neuron cells to perform similar computational activities. But the latest study, she said, was the first to demonstrate this kind of performance in a brain organoid. 16I'm Bryan Lynn. 17Bryan Lynn wrote this story for VOA Learning English, based on reports from Nature Electronics, The Associated Press, Harvard's Stem Cell Institute and MIT Technology Review. 18_____________________________________________ 19Words in This Story 20instruction - n. a set of steps for how to do something 21circuit - v. a complete circle an electric current travels around 22accurate - adj. correct or exact 23theoretical - adj. based on the ideas that relate to a subject, not the practical uses of that subject