Ed Addison

Ed Addison

Durham, North Carolina, United States
7K followers 500+ connections

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    Team Building, Public Speaking, Executive Coaching, Business Analytics, SaaS Development, Strategic Planning, Business Consulting, Financial Advisory, Engineering Design, and Marketing Strategy

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Experience

  • Lundbeck Graphic

    Lundbeck

    Denmark

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    https://www.asfai.org/about

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    RTP, NC

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    Raleigh, North Carolina, United States

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    https://gunstonventures.com/

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    RTP, NC

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    Durham, NC

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    Baltimore MD, Wilmington NC, and Raleigh NC

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    United States

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Education

  • Massachusetts Institute of Technology Graphic

    Massachusetts Institute of Technology

    As a "B.G. Lamme" scholar, I completed a sabbatical year in the Artificial Intelligence Lab at MIT in 1985 where I completed several major AI projects and took courses for 2 semesters in AI and related subjects. While at MIT, I built new system prototypes for a medical reasoning expert system and for a 3D Fourier Transform for advanced robotic vision.

  • I completed a Global Executive MBA with an added specialization in Health Sector Management. During this program, I attended academic residencies in 4 continents and 7 nations, including Turkey, Hungary, United Arab Emerates (Dubai), China, Argentina and Brazil. I focused on the healthcare market, particularly pharmaceutical and medical devices, through Duke's HSM program.

  • MSEE with a focus in pattern recognition, signal processing, machine learning, data science. MS Biomedical Engineering completed with a focus in molecular biology bioinformatics, drug discovery, and medical devices.

  • I majored in Electrical Engineering, and minor concentrations of courses were taken in business administration and physics. While at Virginia Tech, I became a member of the engineering honor society Tau Beta Pi. I have since been interested in astrophysics and astrobiology which I keep tabs on.

  • I studied law and IP/patent law online to complement my entrepreneurial career, and his university avocation of teaching innovation, and to serve as a terminal degree for teaching business, entrepreneurship and MBA programs. I passed the initial California bar exam on the first attempt. Since completing this program, I have prepared to be licensed as a patent agent to complement my entrepreneurial work, and I have taught business law. I also occasionally serve as an expert witness relating…

    I studied law and IP/patent law online to complement my entrepreneurial career, and his university avocation of teaching innovation, and to serve as a terminal degree for teaching business, entrepreneurship and MBA programs. I passed the initial California bar exam on the first attempt. Since completing this program, I have prepared to be licensed as a patent agent to complement my entrepreneurial work, and I have taught business law. I also occasionally serve as an expert witness relating to technology companies and IP.

  • I completed a certificate program in bioinformatics at the University of Manchester in the early days of online learning. Studied analysis of gene expression, protein structure determination, biological databases and immunology.

Licenses & Certifications

Publications

  • Leveraging the Horizon

    iUniverse

    Leveraging the Horizon tells you what most entrepreneurs can only learn by doing. It provides hard core advice on everything needed to execute your enterprise, guided by your own compelling vision.

    Other authors
    • Introduction by Guy Kawasaki
    See publication

Patents

  • The Whole Cell Computer: a biologically inspired computer architecture

    Issued US 20070094166

    Patent covers all physical and software implementations of membrane computers and agent based cell metaphor computers. Computing architecture invention is based on cellular biochemistry metaphor.

  • Text to Speech

    Issued US US6865533

    A preferred embodiment of the method for converting text to speech using a computing device having a memory is disclosed. The inventive method comprises examining a text to be spoken to an audience for a specific communications purpose, followed by marking-up the text according to a phonetic markup systems such as the Lessac System pronunciation rules notations. A set of rules to control a speech to text generator based on speech principles, such as Lessac principles. Such rules are of the tide…

    A preferred embodiment of the method for converting text to speech using a computing device having a memory is disclosed. The inventive method comprises examining a text to be spoken to an audience for a specific communications purpose, followed by marking-up the text according to a phonetic markup systems such as the Lessac System pronunciation rules notations. A set of rules to control a speech to text generator based on speech principles, such as Lessac principles. Such rules are of the tide normally implemented on prior art text-to-speech engines, and control the operation of the software and the characteristics of the speech generated by a computer using the software. A computer is used to speak the marked-up text expressively. The step of using a computer to speak the marked-up text expressively is repeated using alternative pronunciations of the selected style of expression where each of the tonal, structural, and consonant energies, have a different balance in the speech,...
    Inventors: Edwin R. Addison, H. Donald Wilson, Gary Marple, Anthony H. Handal, Nancy Krebs

  • Computerized Conversion of Text to Speech

    Issued US 6847931

    A preferred embodiment of the method for converting text to speech using a computing device having a memory is disclosed. Text, being made up of a plurality of words, is received into the memory of the computing device. A plurality of phonemes are derived from the text. Each of the phonemes is associated with a prosody record based on a database of prosody records associated with a plurality of words. A first set of the artificial intelligence rules is applied to determine context information…

    A preferred embodiment of the method for converting text to speech using a computing device having a memory is disclosed. Text, being made up of a plurality of words, is received into the memory of the computing device. A plurality of phonemes are derived from the text. Each of the phonemes is associated with a prosody record based on a database of prosody records associated with a plurality of words. A first set of the artificial intelligence rules is applied to determine context information associated with the text. The context influenced prosody changes for each of the phonemes is determined. Then a second set of rules, based on Lessac theory to determine Lessac derived prosody changes for each of the phonemes is applied. The prosody record for each of the phonemes is amended in response to the context influenced prosody changes and the Lessac derived prosody changes. Then a reading from the memory sound information associated with the phonemes is performed.

Languages

  • Italian

    Elementary proficiency

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