Digital Infuzion News

USPTO grants patent on machine learning method to Digital Infuzion, Inc.

Digital Infuzion has been granted a patent in the field of self-optimizing learning machines.

The U.S. Patent and Trademark Office has granted a patent in the field of self-optimizing learning machines resulting from a multi-year R&D project at Digital Infuzion, Inc. This invention is used in our GeneBrain® software and is intended to assist in placing the power of machine learning in the hands of non-mathematicians so that complex data can be more readily analyzed and interpreted directly by the researchers and clinicians to whom the data has value. 
U.S. Patent No. 8,386,401 is titled “Machine learning methods and systems for identifying patterns in data using a plurality of learning machines wherein the learning machine that optimizes a performance function is selected.”
The developers of this novel approach to the automation of machine learning are: Hemant Virkar, President and CEO; Karen Stark, PhD, Director of Computational Biology; and Jacob Borgman, PhD, Staff Scientist.