scholarly journals Intelligent Design of 14-3-3 Docking Proteins Utilizing Synthetic Evolution Artificial Intelligence (SYN-AI)

ACS Omega ◽  
2019 ◽  
Vol 4 (21) ◽  
pp. 18948-18960 ◽  
Author(s):  
Leroy K. Davis
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Design ◽  
Docking Proteins

Overview of Intelligent Design on Mold

2012 ◽  
Vol 459 ◽  
pp. 394-397
Author(s):  
Bin Wang ◽  
Jian Jun Chen ◽  
Jie Tao
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Design ◽  
Knowledge Engineering ◽  
Design Method ◽  
Mold Design ◽  
Engineering Technology ◽  
Knowledge Based ◽  
Knowledge Reasoning ◽  
Artificial Intelligence Technology ◽  
Development Tendency

Applying Artificial Intelligence technology on mold design can help realize the design automation of mold. Because knowledge-based engineering is an effective intelligent design method, the paper systematically introduced the application and development of knowledge representation, knowledge reasoning, knowledge acquisition and other key technologies of knowledge engineering technology used in mold design field. Finally, the development tendency of mold design based on artificial intelligence was analyzed in detail

scholarly journals Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence

2018 ◽  
Vol 16 (4) ◽  
pp. 271-280 ◽  
Author(s):  
Shelby Doyle ◽  
Nick Senske
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Design ◽  
Technological Development ◽  
Full Range ◽  
Digital Representations ◽  
Counter Narratives ◽  
Creative Contribution ◽  
New Applications ◽  
Tools And Methods

This speculative essay examines a single drawing, produced in a collaboration between the authors and a Turtle robot, in a search for methods to evaluate and document provenance in artificial intelligence and robotic design. Reflecting upon the layers of authorship in our case study reveals the complex relationship that already exists between human and machine collaborators. In response to this unseen provenance, we propose new modes to document the full range of creative contribution to the design and production of artifacts from intellectual inputs to digital representations to physical labor. A more comprehensive system for artificial intelligence/robotic attribution could produce counter-narratives to technological development which more fully acknowledge the contributions of both humans and machines. As artificially intelligent design technologies distinguish themselves with distinct capabilities and eventual autonomy, a system of embedded attribution becomes the basis for human–machine collaboration, indeterminacy, and unexpected new applications for existing tools and methods.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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