Artificial Neural Networks (AI) Suppliers
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VIEW ALL SUPPLIERS OF Bioinformatics > Artificial Neural Networks (AI)
VIEW ALL SUPPLIERS OF Bioinformatics > Artificial Neural Networks (AI)
EMAIL INQUIRY to 5 artificial neural networks (ai) suppliers
NeuroDimension, Inc.
Gainesville, Florida NeuroDimension, Inc. provides neural network development tools. Our neurosolutions is a premier neur More...
www.nd.com
Gainesville, Florida NeuroDimension, Inc. provides neural network development tools. Our neurosolutions is a premier neur More...
www.nd.com
Equbits LLC
Palo Alto, California Equbits LLC provides SVM based predictive modeling solutions to drug discovery professionals. Our Eq More...
www.equbits.com
Palo Alto, California Equbits LLC provides SVM based predictive modeling solutions to drug discovery professionals. Our Eq More...
www.equbits.com
Ariadne Genomics Inc.
Rockville, Maryland Ariadne Genomics Inc. offers bioinformatics products. Our MedScan® is a natural language process More...
www.ariadnegenomics.com
Rockville, Maryland Ariadne Genomics Inc. offers bioinformatics products. Our MedScan® is a natural language process More...
www.ariadnegenomics.com
MPR Associates
Alexandria, Virginia MPR Associates offers integrated resource that supports power plant areas including design & constru More...
www.mpr-technology.com
Alexandria, Virginia MPR Associates offers integrated resource that supports power plant areas including design & constru More...
www.mpr-technology.com
Electro Standards Laboratories
Cranston, Rhode Island Electro Standards Laboratories designs & delivers sophisticated data, telephone and fiber optic syst More...
www.electrostandards.com
Cranston, Rhode Island Electro Standards Laboratories designs & delivers sophisticated data, telephone and fiber optic syst More...
www.electrostandards.com
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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