Robotické bábätká

2020 ◽  
Author(s):  
Juraj Odorčák
Keyword(s):  
Pattern Recognition ◽  
Human Embryo ◽  
Embryo Selection ◽  
Main Line ◽  
Future Possibility ◽  
Karel Capek ◽  
Near Future ◽  
Take All

In the play R. U. R. Karel Čapek envisioned a futuristic society where robots not only take all our jobs, but also all our human vices and virtues. Th e downfall of humankind is in the end symbolized by the love of and between robots. Love and reproduction are, therefore, one of the main themes of the whole plot of R. U. R. People create robots. Robots create more robots. Robots destruct people. But what if robots could create more humans? Th is article is focused on the topic of robotic creation of humans. Th e main line of reasoning is dedicated to the analysis of the near future possibility of autonomous artifi cial human embryo selection. Current studies show, that AI -assisted pattern recognition provides space for dramatic progress in the eff ectivity of grading of the viability of embryos. Th e combination of this technology with other anticipated technologies could one day create prospects for a full robotic reproduction of humans. Th e article presents some arguments for and against the idea that humans could or should one day become robotic babies.

Methods of Combining Multiple Classifiers with Different Features and Their Applications to Text-Independent Speaker Identification

1997 ◽  
Vol 11 (03) ◽  
pp. 417-445 ◽  
Author(s):  
Ke Chen ◽  
Lan Wang ◽  
Huisheng Chi
Keyword(s):  
Pattern Recognition ◽  
Speaker Identification ◽  
Systematic Investigation ◽  
Evidential Reasoning ◽  
Practical Applications ◽  
Multiple Classifiers ◽  
Novel Method ◽  
The Individual ◽  
Winner Take All ◽  
Take All

In practical applications of pattern recognition, there are often different features extracted from raw data which needs recognizing. Methods of combining multiple classifiers with different features are viewed as a general problem in various application areas of pattern recognition. In this paper, a systematic investigation has been made and possible solutions are classified into three frameworks, i.e. linear opinion pools, winner-take-all and evidential reasoning. For combining multiple classifiers with different features, a novel method is presented in the framework of linear opinion pools and a modified training algorithm for associative switch is also proposed in the framework of winner-take-all. In the framework of evidential reasoning, several typical methods are briefly reviewed for use. All aforementioned methods have already been applied to text-independent speaker identification. The simulations show that results yielded by the methods described in this paper are better than not only the individual classifiers' but also ones obtained by combining multiple classifiers with the same feature. It indicates that the use of combining multiple classifiers with different features is an effective way to attack the problem of text-independent speaker identification.

“Family Balancing”

2019 ◽  
pp. 108-122
Author(s):  
Robert L. Klitzman
Keyword(s):  
Positive Selection ◽  
Ethics Committees ◽  
Sex Selection ◽  
Slippery Slope ◽  
Embryo Selection ◽  
Best Interests ◽  
Free Standing ◽  
Family Balancing ◽  
Blue Eyes ◽  
Near Future

Doctors and patients confront decisions of whether to perform “positive selection”—to choose embryos for various socially desired characteristics—most commonly sex but also deafness and dwarfism. Physicians routinely screen embryos for sex not only to prevent the transmission of serious sex-associated diseases (e.g., autism) but also for “family balancing”—though differing widely in how they define this concept. University-affiliated clinics tend to consult formal external ethics committees about these issues, while free-standing private clinics do not. While many countries explicitly prohibit social sex selection, US providers regularly perform it, raising concerns about a possible “slippery slope” toward eugenics. In the near future, screening for genes associated with other non-medical “desired traits” such as blond hair and blue eyes will probably also be developed and requested. Providers and patients wrestle with whether certain types of embryo selection might restrict a child’s “open future” and ability to make key choices for him- or herself, as well as how to uphold the child’s best interests.

scholarly journals Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks

Nature ◽  
2018 ◽  
Vol 559 (7714) ◽  
pp. 370-376 ◽  
Author(s):  
Kevin M. Cherry ◽  
Lulu Qian
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Scaling Up ◽  
Molecular Pattern ◽  
Winner Take All ◽  
Take All

scholarly journals Perspective of Molecular Diagnosis in Healthcare: From Barcode to Pattern Recognition

Diagnostics ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 75 ◽  
Author(s):  
Qian He ◽  
Mengdi Bao ◽  
Kenneth Hass ◽  
Wenxia Lin ◽  
Peiwu Qin ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Food Security ◽  
Environmental Monitoring ◽  
Molecular Diagnosis ◽  
Broad Spectrum ◽  
Point Of Care ◽  
Rapid Development ◽  
Current Direction ◽  
Near Future

Barcode technology has a broad spectrum of applications including healthcare, food security, and environmental monitoring, due to its ability to encode large amounts of information. With the rapid development of modern molecular research, barcodes are utilized as a reporter with different molecular combinations to label many biomolecular targets, including genomic and metabolic elements, even with multiplex targeting. Along with the advancements in barcoded bioassay, the improvements of various designs of barcode components, encoding and decoding strategies, and their portable adoption are indispensable in satisfying multiple purposes, such as medical confirmation and point-of-care (POC) testing. This perspective briefly discusses the current direction and progress of barcodes development and provides a hypothesis for barcoded bioassay in the near future.

Real-time pattern recognition system based on a bipolar winner-take-all model with a threshold

1994 ◽  
Vol 19 (24) ◽  
pp. 2158 ◽  
Author(s):  
Jin-Yuan Shen ◽  
Tie-Ying Ding ◽  
Yan-Xin Zhang ◽  
Guo-Guang Mu
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Recognition System ◽  
Time Pattern ◽  
Pattern Recognition System ◽  
Winner Take All ◽  
Take All
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