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T 12/13 Latest Innovations in AI (Artificial Intelligence) 6 pm to 9 pm Shearman & Sterling Menlo Park

From: Rob
Sent on: Monday, December 12, 2016 11:32 AM

The deadline to register and pay online is:

2 pm    T   12/13


There is a cover charge for this event.

A "YES"  RSVP on our meetup site does not confirm your reservation.

Space is limited.  Please only RSVP "Yes" if you will be attending.

Take advantage of online registration pricing.

Slots are limited.  First come, first served!

In order to attend, you must register and pay here:

https://www.eventbrite.com/e/latest-innovations-in-artificial-intelligence-tickets-29596906143

Please bring your printed ticket to the event.

Or, pay $20 (cash) at the door.

 

"Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".  --  Wikipedia

 

Our distinguished panel will discuss the latest developments in AI (artificial intelligence).

Please come with questions and comments.

If you are an AI startup and would like space on a demo table for the networking portion of the event, please send an email message to:

[address removed]

 

Put this in the subject header:

Th 12/13   AI Startup Demo Table

 

Agenda

6:00 pm to 7:00 pm   Check In, Food, Networking Reception

7:00 pm to 8:30 pm    Panel Discussion,  Q & A

8:30 pm to 9:00 pm    More Networking

 

About the Moderator:

 

Richard Hsu is a Partner and Global Head of the Intellectual Property Transactions Practice Group at the the law firm of Shearman & Sterling in Menlo Park, and co-leads the firm’s Privacy & Data Protection practice. He advises companies on intellectual property, privacy, data protection, licensing and associated business issues; and has extensive experience in structuring and negotiating technology transactions for the life science, semiconductor, medical device, electronics, software and financial services industries. Mr. Hsu is also a CIPP/US/E, CIPM and CIPT Certified Privacy Specialist, host of a Privacy Podcastseries and Co-Head of the firm’s Technology, Media & Telecommunications (TMT) Industry Group.

 

About the Panelists:

(More panelists TBA)

Ronjon Nag, Ph.D. is a Distinguished Careers Institute Fellow at Stanford University. He is chairman and board member of multiple technology startups, and has founded and sold several companies to Apple, BlackBerry and Motorola. He was awarded the  Mountbatten Medal at the Royal Institution for services to smartphone componentry and ecosystems, and was a winner of the $1M Verizon Powerful Answers Award as board member of Bounce Imaging. He has been a pioneer of smartphones and the app stores they depend on based on his work on touch screens, mobile search, voice recognition, text prediction, handwriting recognition.

Dr. Nag received his bachelor's degree in electrical engineering from UK's University of Birmingham, a master's degree from MIT Sloan School of Management and an engineering Ph.D. from University of Cambridge. He completed his education with post-doctoral research at Stanford University in the fields of Neural Networks and Artificial Intelligence and created the first neural network spin-out from Stanford University in the 1990’s.

 

Tsvi Achler is the founder and CEO of  Optimizing Mind,  whose mission is to formulate the next generation of machine learning algorithms. He has a unique background focusing on the neural mechanisms of recognition from a multidisciplinary perspective. He has completed extensive work in theory and simulations, human cognitive experiments, animal neurophysiology experiments, and clinical training.

Tsvi has an applied engineering background, holding bachelor degrees from UC Berkeley in Electrical Engineering and Computer Science and advanced degrees from University of Illinois at Urbana-Champaign in Neuroscience (PhD), Medicine (MD).  Additionally, he completed postdoctoral work in Computer Science, and previously worked  at Los Alamos National Labs, and IBM Research.

 

Sophia Viklund is an entrepreneur, public speaker, advisor to startups, investor, mentor and an advocate of women and girls in STEAM (Science, Technology, Engineering, Art and Mathematics).

Sophia is a founder of  the Silicon Valley Deep Learning Group,  a professional organization for scientists, developers, entrepreneurs and investors interested in deep learning, starting companies in deep learning and investing in the companies in the space of deep learning and artificial intelligence.

Prior to founding the Silicon Valley Deep Learning Group, the company that Sophia co-founded specialized in serious games development, working with clients such as the Gates Foundation, IARPA and Lockheed Martin, among others, creating immersive educational games and training simulators for high-stakes environments. One of the most interesting projects that Sophia worked on in the past was an award-winning cognitive-bias recognition serious game with stealth assessment, developed for the military in collaboration with the Johns Hopkins University and Carnegie Mellon University.

Sophia also co-founded PyLadies, a worldwide educational initiative for women who program using Python, which was supported by the Python Software Foundation and Google.

Many times a successful founder, Sophia’s projects and companies have been enhanced by her strong interest not only in technology, but also her interest in education, design and the overall customer user experience.

Twitter: @SophiaViklund

 

 

Ed Fernandez  is an early stage start up venture capitalist,  investor, advisor  and entrepreneur. Ed is a member of the Young Presidents' Organization, a worldwide non-profit association of leaders and entrepreneurs under 45.

He is a partner and co-founder of Naiss.io, a venture capital and advisory boutique in Palo Alto focusing on technology based start ups (machine learning in particular) and early stage companies, preparing them for M&A's and IPO's in alternative markets.  Ed  began investing in startups in 2012 as an investor and venture partner in a $10MM start up venture fund with 12 companies in their portfolio. He is currently a board observer and an advisor to some of them.

Ed's first computer was a Commodore 64 back in the 1980s, a 64Kb RAM machine running on a 1 MHz CPU.  An avid assembler programmer at the time, he became an amateur hacker.

Ed lives in Palo Alto with his family. He is mission-driven, and a parallel multi-tasker with nerd traits: curious, ENTP, self-made, resilient, highly functional and a finisher of Madrid's marathon (all adding up to a euphemism for modern ADHD).

Twitter: @efernandez



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