Artificial Neural Networks (AI) Suppliers
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NeuroDimension, Inc.
Florida, USA NeuroDimension, Inc. focuses on networks and genetic algorithms. They are technologies in the field More...
www.nd.com
Florida, USA NeuroDimension, Inc. focuses on networks and genetic algorithms. They are technologies in the field More...
www.nd.com
Equbits
California, USA Equbits offers easy to use, accurate, interpretable and automated support vector machine(SVM) based More...
www.equbits.com
California, USA Equbits offers easy to use, accurate, interpretable and automated support vector machine(SVM) based More...
www.equbits.com
Ariadne Genomics Inc.
Maryland, USA Ariadne Genomics Inc. deals with a combination of talents in algorithm design, commercial bioinforma More...
www.ariadnegenomics.com
Maryland, USA Ariadne Genomics Inc. deals with a combination of talents in algorithm design, commercial bioinforma More...
www.ariadnegenomics.com
MPR Associates
Virginia, USA The combination of our approach and our expert team of people truly sets MPR apart from the rest. Ou More...
www.mpr-technology.com
Virginia, USA The combination of our approach and our expert team of people truly sets MPR apart from the rest. Ou More...
www.mpr-technology.com
Electro Standards Laboratories
Rhode Island, USA Electro Standards Laboratories is an engineering, design and manufacturing company. Our product line More...
www.electrostandards.com
Rhode Island, USA Electro Standards Laboratories is an engineering, design and manufacturing company. Our product line More...
www.electrostandards.com
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EMAIL INQUIRY to 5 suppliers
Artificial Neural Networks (AI) Manufacturers
Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algorithms, it has become common for the researchers to apply the off-shelf systems to classify and mine their databases. At present, with various intelligent methods available in the literature, researchers are facing difficulties in choosing the best method that could be applied to a specific data set. Researchers need tools, which present the data in a comprehensible fashion, annotated with context, estimates of accuracy and explanation. Important problems where AI approaches are particularly promising (and often already very successful) include the prediction of protein's structure & function, semiautomatic drug design, the interpretation of nucleotide sequences and knowledge acquisition from genetic data.


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