San Diego Section - The Institute of Electrical and Electronics Engineers, Inc.

Home
Section Information
Societies
Announcements
Upcoming Events
Conferences
Technology Time Machine
Download Presentations
Consultants Network
Student Branches
Chair's Message
Jobs
Contact


Officer Login
Email Address:
Password:

Don't know your password?

ThinkingNode - Reasoning Computing to handle Complex Knowledge instead of Big Data

on February 13, 2018 from 6:30 PM to 8:30 PM

Speaker Dr. Khai M Pham, PhD, MD, CEO, Thinkingnode
Topic Info

RECORDING is available now

https://ieeemeetings.webex.com/ieeemeetings/ldr.php?RCID=a1554a057c98f22e06211dbbf6c7f814

REGISTRATION IS CLOSED EVENT IS FULL USE WEBEX


Humans are very good at solving problems and use two main cognitive approaches: Pattern Recognition (right brain) to perceive and Reasoning(left brain) to analyze. Unfortunately, we cannot scale our thinking to handle the ever-increasing volumes of both data and knowledge. Human-level cognition has become a bottleneck for humanity’s progress.

Today, the AI market is mainly based on companies that have been focusing on scaling Pattern Recognition using Machine Learning and the results have been impressive on how it has been possible to extract from Big Data new patterns based on correlations to build statistical predictive systems. However, in order to solve and to understand, and not just to predict the outputs for hard analytic problems, such as cancer therapies, immune system deficiencies, and medical diagnosis…, scaling reasoning is an absolute necessity 1) to process highly combinatorial Complex Knowledge, 2) to make sense of new knowledge that are continuously generated by both human experts and Machine Learning, and 3) to be able to infer new knowledge from existing knowledge, which is what human thinking does very well but we can only process 5-9 concepts at the same time. Reasoning Computing can provide the exponential thinking capability. Until now, Reasoning Computing systems have yet to see their "new surge" as neural networks have.


Speaker Bio

A multi-disciplinary (Medicine and Artificial Intelligence +25 y) entrepreneur in Silicon Valley for 15 years, Dr. Khai Minh Pham is a serial entrepreneur and technology innovator.

In 1995 he pioneered Data Mining as the founder & CEO of DataMind, a leading data mining company using an Intelligent Agent Technology. Benchmarked by Andersen Consulting Research as the best technology in its field, it was used by major financial institutions, marketing centers, and medical manufacturers, and Bank of America acquired the patent in 2012. Later renamed RightPoint, DataMind was acquired in 2000 by E.piphany for US$400 Million, still one of the highest acquisitions for an AI-based company.

In 2000, Dr. Pham was a pioneer in social networking as the founder & CEO of Easyplanet, providing the first Community Browser (including video phone, favorites sharing, content. etc.) to help strong brands maintain their relationship with their customers, while harnessing data mining to push content and one-to-one ads. A major partnership was established in India as the first large scale pilot when the financial crash happened in 2008.

Today, with ThinkingNode, Dr. Pham is pioneering in Reasoning Computing. He believes that a breakthrough for humanity in solving major challenges is to overcome human linear reasoning to empower human thinking allowing us to apprehend highly complex systems.

Khai Minh holds an M.D. and a Ph.D. in AI both from University Pierre and Marie Curie in Paris. Author of several scientific papers, received international grants (DEC research labs), taught AI at LISH-CNRS (eq. of the NFS in US), received an entrepreneur award from BP bank, was on the committee of Silicon French (a Silicon Valley network), was speaker at DBF, is EIR/Mentor at CONNECT (notorious startup accelerator in San Diego), and part of the jury for the "2016 Most Innovative New Product Awards" in Life Science and Robotics



This Meeting is co-hosted by IEEE societies Engineering in Biology and Medicine (EMB), Computer, and the Big Data Science and Engineering Special Interest Group
Location Qualcomm, Building AZ Multipurpose room A/B/C, 10155 Pacific Heights Blvd, San Diego, CA 92121
Directions

https://goo.gl/f14Q2g   


Agenda
6:30 PM Registration and Networking
7:15-8:15 PM Presentation

https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=ma57457aef54815bbf393a1945df73e78
Meeting number: 598 729 571

https://ieeemeetings.webex.com/ieeemeetings/ldr.php?RCID=a1554a057c98f22e06211dbbf6c7f814




Cost Free to IEEE, Qualcomm and students with ID; all others $5 cash only at the door.
RSVP
Advanced registration is strongly encouraged.  IEEE events at Qualcomm tend to fill up early, and space is limited.

RSVP at   https://events.vtools.ieee.org/tego_/event/manage/159052

POC Doug Evans, Douglass.evans@sbcglobal.net



   Home | Section Information | Societies | Announcements | Upcoming Events | Contact

Copyright © 2006–2018 Yellow Interactive, Inc.