Creating artificial Rhino Horns from Horse Hair
نویسندگان
چکیده
منابع مشابه
Re-creating the Philosopher’s Mind: Artificial Life from Artificial Intelligence
The ultimate goal of artificial intelligence (AI) research is to create a system with human level intelligence. Many researchers conceded that human-like interaction in a social context to be critical for human-like intelligence to emerge. Artificial life (AL) is a branch of AI to simulate the process of evolution and interaction in natural world using multi-agent systems. This suggests that AL...
متن کاملRhino horns and paper cups: deceptive similarities between natural and human designs.
One cannot assume that resemblances between the mechanical devices of human technology and those produced by the evolutionary process reflect either specific copying of nature by people or some particular point of functional superiority. A third alternative is that the two mechanical contexts derive quite different advantages from a given arrangement. While this latter might appear unlikely, on...
متن کاملCreating Artificial Datasets
DNA sequencing has been a labor-intensive task that has benefited greatly from automation, both hardware based, and software based. Our goal is to develop a tool which can provide challenging input to a software-based sequence assembler, which attempts to reassemble the original DNA sequence given a collection of fragmented reads (or that sequence). In order to accomplish this, it is necessary ...
متن کاملCreating artificial barriers to vaccinations.
Achieving optimum outcomes is difficult enough without creating artificial barriers. Certainly none of us would ever admit to putting up any barrier that would prevent our residents from gaining access to important medical care; however, that it exactly what we have been doing by requiring signed consents for influenza and pneumococcal vaccinations in long-term care facilities. This is a seriou...
متن کاملHorse Racing Prediction Using Artificial Neural Networks
Artificial Neural Networks (ANNs) have been applied to predict many complex problems. In this paper ANNs are applied to horse racing prediction. We employed Back-Propagation, Back-Propagation with Momentum, QuasiNewton, Levenberg-Marquardt and Conjugate Gradient Descent learning algorithms for real horse racing data and the performances of five supervised NN algorithms were analyzed. Data colle...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2019
ISSN: 2045-2322
DOI: 10.1038/s41598-019-52527-5