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SoftMax, Inc. Company Profile

19:01 EDT 22nd June 2018 | BioPortfolio

Founded in 1998 by scientists from The Salk Institute and The University of California, San Diego, SoftMax, Inc. finds its origins in the field of computational neurobiology. SoftMax has taken this exploration of how the brain functions and applied some of its insights to develop innovative, adaptive and practical solutions to solve real-world problems. SoftMax’s platform technology, called SoftMax Signal Separation or S^3, has received substantial attention due to its potential applications in signal separation including in speech signal processing, biomedical data analysis, image and video analysis and compression, and large-scale data mining of information. SoftMax, Inc. is developing solutions for enhanced interfaces between humans and machines. The company’s proprietary signal separation technology enables digital processing devices to separate individual signal components out of complex mixtures. The wide spectrum of commercial applications for SoftMax’s technology includes audio signal processing, biomedical data analysis, image and video processing, electromagnetic spectral analysis and large-scale data mining, or other applications where complex signals are the norm.

Location

4350 Executive Dr.Suite 201
San Diego
California
92121
United States of America

Contact

Phone: (858) 452-1900 x105
Fax: (858) 452-7373
Email: customersupport@softmax.com


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Drugs and Medications [0 Results]

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PubMed Articles [4 Associated PubMed Articles listed on BioPortfolio]

Diverse Region-Based CNN for Hyperspectral Image Classification.

Convolutional neural network (CNN) is of great interest in machine learning and has demonstrated excellent performance in hyperspectral image classification. In this paper, we propose a classification...

Representation learning using event-based STDP.

Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a challenging problem. T...

An effective neural model extracting document level chemical-induced disease relations from biomedical literature.

Since identifying relations between chemicals and diseases (CDR) are important for biomedical research and healthcare, the challenge proposed by BioCreative V requires automatically mining causal rela...

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.

Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of the signal of a sl...

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Companies [1 Associated Companies listed on BioPortfolio]

SoftMax, Inc.

Founded in 1998 by scientists from The Salk Institute and The University of California, San Diego, SoftMax, Inc. finds its origins in the field of computational neurobiology. SoftMax has taken this ex...

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