Grand Challenges for Engineering: Reverse-engineer the brain
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| Audience/Grade: | High School Junior -Continuing Education 11-Continuing Education |
| Discipline(s): |
Bioengineering and Biomedical Engineering Computer Science Life Sciences Psychology Sociology and Anthropology |
| Special Topic(s): | |
| Learning Resource Type: |
Community - Discussion Forum/Mailing List/Newsletter |
| Media Type: |
Unknown |
| Author(s): |
Organization:National Academy of Engineering |
| Description: | One of the Grand Challenges in Engineering identified by the National Academy of Engineering. The website has a description of the challenge, along with video clips that highlight specific problem areas. "The intersection of engineering and neuroscience promises great advances in health care, manufacturing, and communication. For decades, some of engineering’s best minds have focused their thinking skills on how to create thinking machines — computers capable of emulating human intelligence." Caption: The average adult brain has 100 billion neurons and weighs about 3 pounds. It uses nearly 20% of all the oxygen taken into the body. |
| Rating: |
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| Related Resources | |
| Keywords: | human brain brain cognition artificial intelligence |
| Is Component of: |
Grand Challenges for Engineering |
| Usage Tip | |
| Related ABET Criteria: |
Creative Thinking (h) Understand global, economic, environmental, and societal context |
| Use of Resource: |
Website from the National Academy of Engineering. "With input from people around the world -- much of it on this website -- an international group of leading technological thinkers were asked to identify the Grand Challenges for Engineering in the 21st Century. I have included these grand challenge resources as assignments in my freshman design and analysis class. |
| Difficulty: |
Medium |
| Interactivity Level: |
Medium |
| Version Info | |
| Publication Date: | August 2008 |
| Platform/Format: |
WWW |
| Cost: |
Free |
| Download URL: | http://www.engineeringchallenges.org/cms/8996/9109.aspx |
| Metadata: |
IEEE LOM Record |
| Collection: |
NEEDS
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