On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines


Price: $12.99
(as of Dec 17,2024 17:02:01 UTC – Details)




ASIN ‏ : ‎ B003J4VE5Y
Publisher ‏ : ‎ Times Books; Adapted edition (April 1, 2007)
Publication date ‏ : ‎ April 1, 2007
Language ‏ : ‎ English
File size ‏ : ‎ 2707 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Enabled
Print length ‏ : ‎ 284 pages

Customers say

Customers find the book engaging and well-written. It provides a clear explanation of human intelligence and how the brain works. Readers appreciate the concise, easy-to-understand writing style that makes sense. The book stimulates their curiosity about the subject and brings a fresh perspective on the current debate about artificial intelligence.

AI-generated from the text of customer reviews


In recent years, advances in neuroscience have provided us with a new understanding of the brain and how it functions. This knowledge has the potential to revolutionize the field of artificial intelligence and lead to the creation of truly intelligent machines.

One key insight from neuroscience is the concept of hierarchical processing in the brain. This means that the brain processes information in a series of layers, with each layer building on the one before it. This hierarchical structure allows the brain to perform complex tasks, such as recognizing objects, understanding language, and making decisions, with incredible speed and efficiency.

By incorporating this hierarchical processing model into artificial intelligence algorithms, researchers are able to create machine learning systems that can mimic the way the brain processes information. These systems, known as deep learning networks, have already shown impressive results in a variety of tasks, such as image and speech recognition, natural language processing, and playing complex games like Go.

Another important insight from neuroscience is the concept of neural plasticity, or the brain’s ability to reorganize itself in response to new information or experiences. This plasticity allows the brain to learn and adapt over time, constantly improving its ability to perform tasks and solve problems.

By designing artificial intelligence systems that can mimic this plasticity, researchers hope to create machines that can learn and improve their performance over time, much like the human brain. This could lead to the development of truly intelligent machines that are capable of not only performing specific tasks, but also of adapting to new challenges and environments.

Overall, the new understanding of the brain provided by neuroscience has the potential to revolutionize the field of artificial intelligence and lead to the creation of machines that are truly intelligent. By incorporating insights from neuroscience into AI algorithms, researchers are paving the way for a future where machines can think, learn, and adapt just like humans.
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