December 06, 2016 -- Redwood City, CA. Yewno, a provider of a new inference engine that mimics the human brain and increases knowledge discovery, today announced that distinguished UC Santa Barbara Professor, Dr. Michael Gazzaniga, and Co-Director of Stanford's Digital Humanities Minor Dr. Sarah Ogilvie, have joined the company's advisory board.
"Yewno is a cutting-edge tool that helps us access and discover knowledge by automatically contextualizing concepts, translating information, visualizing it, and taking you directly to sources you never knew existed."
This announcement comes on the heels of closing their series A funding round at $16.5m.
Dr. Sarah Ogilvie is Lecturer in Linguistics and Social Sciences Research Fellow as well as a co-director to the Digital Humanities Minor at Stanford. She brings to Yewno an elevated level of insight on the intersection of linguistics and technology leveraging her background in the fields of Pure Mathematics and Computer Science. Dr. Ogilvie is also the lead investigator of two Digital Humanities projects: Nineteenth-Century Crowdsourcing and Mapping Endangered Languages.
Dr. Michael Gazzaniga is Director of the SAGE Center for the Study of the Mind at UCSB, president of the Cognitive Neuroscience Institute, and the founding director of the MacArthur Foundation's Law and Neuroscience Project and the Summer Institute in Cognitive Neuroscience. His vast experience in the field of neurological brain function will bring additional insight to Yewno's new approach to knowledge discovery.
"Dr. Gazzaniga's and Dr. Ogilvie's deep and broad experience in technology, brain function, cognitive science and linguistics will enhance Yewno's innovative approach to reshaping the way humans search for and discover knowledge," said Ruggero Gramatica, Founder and CEO of Yewno. "Two experts who truly comprehend the way the mind functions and the linguistic implication connected to artificial intelligence will play a monumental role in our company, helping us establish Yewno as the undeniable first choice in education and science inference engines."
"Moving knowledge forward will in large part come from interdisciplinary studies," said Dr. Gazzaniga. "Yewno is building a knowledge system that will facilitate that goal like no other. It will become a must use tool."
"We are all swamped by an abundance of information and words but knowledge and concepts have never been harder to find," added Dr. Ogilvie. "Yewno is a cutting-edge tool that helps us access and discover knowledge by automatically contextualizing concepts, translating information, visualizing it, and taking you directly to sources you never knew existed."
Prior to Stanford, Dr. Ogilvie worked in the software industry, where among other things she worked on solutions for the Amazon Kindle. Dr. Ogilvie also holds board positions with the Fine Arts Museum of San Francisco, de Young Museum, and Legion of Honor. Dr. Ogilvie received her BS in Computer Science and Pure Mathematics from the University of Queensland and received an MA in Linguistics from Australian National University. She then completed her doctorate work in Linguistics at Oxford University.
Dr. Gazzaniga is also a member of the American Academy of Arts & Sciences, the Institute of Medicine, and the National Academy of Sciences. Dr. Gazzaniga graduated from Dartmouth College and went on to receive a Ph.D. in Psychobiology from the California Institute of Technology, where he worked under the guidance of Roger Sperry, with primary responsibility for initiating human split-brain research. Dr. Gazzaniga's teaching and mentoring career includes beginning and developing Centers for Cognitive Neuroscience at Cornell University Medical Center and University of California-Davis and Dartmouth College. Dr. Gazzaniga also has an esteemed career in publishing and is an editor of the The Cognitive Neurosciences book series published by the MIT Press, which features the work of nearly 200 scientists and is a sourcebook for the field.
Founded in 2014, Yewno is helping people uncover the undiscovered through its new inference engine, which introduces an entirely new approach to knowledge discovery. Mimicking the human brain, the Yewno inference engine incorporates machine learning, cognitive science, neural networking, and computational linguistics into a highly visual solution to enhance human understanding by correlating concepts across vast volumes of text. The launch of its first vertical offering, Yewno for Education, serves as a unique service designed for scholars and students and is at use at leading academic and research libraries around the world, including Harvard, MIT and Stanford. Headquartered in Redwood City, CA, and with offices in London, Yewno is backed by leading investors including Pacific Capital and currently has numerous partnerships across top research universities, publishers and content aggregators worldwide.