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About Michael

Michael Portnov focuses his practice on client counseling and preparing and prosecuting patent applications directed to computer-related technologies.

Mr. Portnov has significant patent experience working with inventions in the areas of machine learning and artificial intelligence.  Mr. Portnov has prepared and prosecuted hundreds of patent applications directed to various machine learning technologies.  For example, Mr. Portnov has significant experience preparing and prosecuting patent applications directed to computer vision using convolutional neural networks; speech recognition, machine translation, and other sequential tasks using recurrent neural networks, convolutional neural networks, and self-attention-based neural networks; and reinforcement learning as applied to a variety of technical fields, including robotics.

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Education

J.D., University of California, Berkeley School of Law (2009) Member, Berkeley Technology Law Journal


B.A., Mathematics, with minor in Physics, University of California, Berkeley (2006)

Admissions
  • U.S. Patent and Trademark Office 2007
  • California 2009
Languages
  • English
  • Russian

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