Figuring out how the brain works will enable engineers to simulate its activities. Simulations based on brain reverse-engineering will offer more precise methods for testing potential biotechnology solutions to brain disorders. Furthermore, researchers will likely improve knowledge of how to design computing devices that process multiple streams of information in parallel.
Some applications using artificial intelligence have benefited from such simulations. In fact, more advanced AI software should in the future be able to guide devices that can enter the body to perform medical diagnoses and treatments. Besides, the use of new AI insights for repairing broken brains has a great impact on human health and well-being. Damage from injury or disease to the hippocampus can affect one’s abilities to form and recall memories. Engineers have begun to design computer chips that could help restore normal memory skills to an impaired brain by mimicking the brain’s own communication skills.
Meanwhile, “neural prostheses” have already been used to treat hearing loss and Parkinson’s disease, while “artificial retinas” that could help restore vision are being developed. In addition, engineers envision computerized implant and interface device each capable of receiving signals from the brain’s nerve cells and sending them to an artificial limb to control its movements. Moreover, implants that could read the thoughts of immobilized patients and signal an external computer have been explored.
However, it is a major challenge to fully realize the brain’s potential to teach us how to make machines learn and think. Details of the brain’s secret communication code remain to be deciphered. Furthermore, it is extremely difficult to tease out and analyze all the complexities of nerve cell signals, their dynamics, pathways and feedback loops.
Therefore, success toward fully understanding brain activity will provide engineers with insight into even grander accomplishments for enhancing the joy of living.
Reverse-engineer the brain. (n.d.). Retrieved October 4, 2008, from http://www.engineeringchallenges.org/cms/8996/9109.aspx
Some applications using artificial intelligence have benefited from such simulations. In fact, more advanced AI software should in the future be able to guide devices that can enter the body to perform medical diagnoses and treatments. Besides, the use of new AI insights for repairing broken brains has a great impact on human health and well-being. Damage from injury or disease to the hippocampus can affect one’s abilities to form and recall memories. Engineers have begun to design computer chips that could help restore normal memory skills to an impaired brain by mimicking the brain’s own communication skills.
Meanwhile, “neural prostheses” have already been used to treat hearing loss and Parkinson’s disease, while “artificial retinas” that could help restore vision are being developed. In addition, engineers envision computerized implant and interface device each capable of receiving signals from the brain’s nerve cells and sending them to an artificial limb to control its movements. Moreover, implants that could read the thoughts of immobilized patients and signal an external computer have been explored.
However, it is a major challenge to fully realize the brain’s potential to teach us how to make machines learn and think. Details of the brain’s secret communication code remain to be deciphered. Furthermore, it is extremely difficult to tease out and analyze all the complexities of nerve cell signals, their dynamics, pathways and feedback loops.
Therefore, success toward fully understanding brain activity will provide engineers with insight into even grander accomplishments for enhancing the joy of living.
Reverse-engineer the brain. (n.d.). Retrieved October 4, 2008, from http://www.engineeringchallenges.org/cms/8996/9109.aspx
1 comment:
Human brains are far more complex than computers. If we can successfully simulate human brain using computer, this will be a breakthrough in the computing industries. Researchers have taken a very long time to try to simulate human brains, but they are moving very slowly, as human brain is not that easy to simulate. There are indeed a few historical breakthrough which are worth mentioning. The most famous breakthrough is the defeat of World Chess Champion, Garry Kasparov, by the super computer Deep Blue (developed by IBM). In this example, we can see that AI is on it's way to simulate, or even surpass human brain. Although there's still a long way to go, I believe the hard work of all the engineers and researches will be paid.
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