Monthly Archives: March 2019

[ValleyML.ai] State of AI and ML-Spring 2019

April 4 @ 1:00 pm – 7:00 pm PDT

Related Events for AI/ML community (ValleyML.ai event):

State of AI and ML-Spring 2019

Location:

Intel, SC12 Auditorium, 3600 Juliette Ln, Santa Clara, CA 95054

In this event (State of AI and ML-Spring 2019), as part of series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. For this event, we focus on AI Accelerators, Self-Driving and Face Processing. We feature five thought leaders from Computing, Autonomous systems and Computer Vision.

Please register soon for early bird tickets.

Early bird tickets till March 22nd
IEEE CS/CAS/CIS/ITSoC/RAS/SSCS Members -$65  
IEEE/ACM Members -$70
Others- $90

Regular Pricing from March 23rd till March 29th
IEEE CS/CAS/CIS/ITSoC/RAS/SSCS Members -$85
IEEE/ACM Members -$100
Others- $125
Free tickets for IEEE/ACM student members and members in transition.
Free tickets for ACM and IEEE CS/CAS/CIS/ITSoC/RAS/SSCS officers.

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Data Management in the Cloud Era

April 25, 2019, 6:00-8:30PM

IEEE Computer Society of Silicon Valley

IEEE CS Chapter of Silicon Valley is organizing this free workshop technical event for all its IEEE CS chapter members in collaboration with:    
· https://ieee-region6.org/scv-cis/
 IEEE CIS (Santa Clara Valley Chapter of IEEE Computational Intelligence Society)
· Oracle providing this free workshop for IEEE CS members.

Co-sponsored by ValleyML.AI  & Silicon Valley Engineering Council https://www.svec.org/

Valley Machine Learning and Artificial Intelligence (ValleyML.ai) is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers in the Silicon Valley. ValleyML.ai bring together business leaders and applied machine learning and deep learning practitioners. We collaborate with other non-profit professional organizations such as ACM, IEEE Silicon Valley AI/CS/CAS/ITSoC/RAS/SSCS Chapters and other AI related organizations bringing a series of regularly planned events, seminars, conferences, and workshops. We plan to cover the state-of-the-art advancements in AI technology.  We have free tickets for IEEE/ACM students, members in transition and discounted tickets for IEEE/ACM members. There are minimal fees to break even for the event expenses. Attendees for most of the workshops get IEEE Certificates for Professional Development Hours.

Keynote:
1) Kris Bhanushali, Senior Principal Product Manager for Oracle’s Database Cloud Service

Location:
Oracle/Address: 4040 George Sellon Cir · Santa Clara, CA
Please check in into Clock Tower building 04

(Register here)

PROGRAM:
6:00PM – 6:30PM Networking & Refreshments
6:30PM – 7:00PM Keynote
7:00PM – 8:30PM the workshop

Abstract:
How is Data Management different today than it used to be? Well, to begin with, there is a gazillion times more data today than there used to be just a decade ago. Clearly, traditional tools of data management are not going to work. Let’s take a look at ways to manage enterprise data at scale without getting a PhD in database administration.

We all wear multiple hats in this cloud era so whether you are a developer, DBA, IT Ops or DevOps, this session is for you. We’ll also look at terraform based orchestration, ways to deploy microservices on a Kubernetes cluster and whip up some python/java apps quickly in the Oracle cloud.

WORKSHOP CREW:
1) Kiran Makarla, Principal Solution Marketing Director.
2) Vishal Atreja, Vishal is a cloud technology evangelist and a member of the Oracle Digital North America Technology Division Solution Engineering
3) Santosh Kumar Ramarathnam, Senior Technical Consultant at Oracle and is an OCI certified Associate.

The lab flow:
• Lab 1: Provisioning an Autonomous Database.
• Lab 2: Managing and Scaling Data using Autonomous Features.
• Lab 3: Configuring a Node.js app (as an example) to work with the Autonomous Database.
• Lab 4: Understanding and Working with REST APIs.
• Lab 5: Configuring Infrastructure
• Lab 6: Modern App Dev on Oracle’s Cloud Native Framework with Oracle Autonomous as the Backend, Database Layer.

IMPORTANT
Please fill out this https://forms.gle/W1mcm8kxdPtuw1zX9 to expedite the registration process and for us to provision your FREE Cloud Platform Trial account so that you can run this workshop smoothly. Please provide the email address that you have never used for Oracle Cloud Platform Trial account before. You will not be required to input your credit card for creating this account.
Prerequisites: bring Laptop- Either Windows/Mac and pre-install:
1. SQL Developer:
https://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/index.html
On Windows:
Select the OS for your computer. (This page also has instructions on how to install SQL Developer on Windows, Mac OSX and Linux.)
If you already have SQL Developer installed on your computer please check the minimum version required to connect to an Oracle ADW Cloud is SQL Developer 17.4.
Mac:
https://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/sqldev-install-mac-1969675.html
2. Data Visualization Desktop:
Oracle Data Visualization Desktop makes it easy to visualize your data so you can focus on exploring interesting data patterns. Choose from a variety of visualizations to look at data in a specific way. Data Visualization Desktop comes with Oracle ADW.
To download and install Data Visualization Desktop please follow:
https://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-visualization-desktop-2938957.html
Select the OS for your computer. This page also has instructions on how to install DVD on Windows and Mac OSX.
If you already have Data Visualization Desktop installed on your computer then please check the version. The minimum version that is required to connect to an Oracle ADW Cloud is 12c 12.2.5.0.0.
Here is the Link to the learning Library you will need during the workshop. bit.ly/atpLabs

Open to all to attend
(Online registration is needed. If you did not register, seating is not guaranteed.)

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The Origins of Silicon Valley: Why and How It Happened Here

May 1, 2019, 6:45PM-8:30PM 

The Origins of Silicon Valley: Why and How It Happened Here 

IEEE Computer Society of Silicon Valley
IEEE CS Chapter of Silicon Valley is sponsoring this free technical event

Speaker: Paul Wesling
IEEE Life Fellow and Distinguished Lecturer (retired from HP/Tandem) 
 
Location: Immanuel Lutheran Church,
    14103 Saratoga Ave, Saratoga (Map)
 
(Register here)

Sponsor: IEEE Computer Society of Silicon Valley
Sponsor/Host: Trust Fund Educational Seminar, Immanuel Lutheran Church 
Co-Sponsor:
· https://ieee-region6.org/scv-cis/
· http://www.valleyml.ai/
. Silicon Valley Engineering Council https://www.svec.org/

PROGRAM:
6:45PM – 7:30PM Networking/Wine/Appetizers 
7:30PM – 8:30PM Lecture
 
Abstract:
Why did Silicon Valley come into being?  
The storygoes back to local Hams (amateur radio operators) trying to  break RCA’s tube patents, “angel” investors, the sinking of the  Titanic, Fred Terman and Stanford University, local invention of  high-power tubes, WW II and radar, William Shockley’s mother  living in Palo Alto, 
and the SF Bay Area infrastructure that developed 
– these factors pretty much determined that  the semiconductor and IC industries would be located in the 
Santa Clara Valley, and that the Valley would remain  the world’s innovation center as new technologies emerged 
– computers, then software, mobile, biotech, Big Data,  VR, and now autonomous vehicles 
– and it would become the model for innovation worldwide.   

Bio:
Paul Wesling  

Paul Wesling, an IEEE Life Fellow and Distinguished Lecturer and ACM member, has observed the Valley for decades as an engineer, executive, resident, and educator, and has presented this talk world‐wide. In this non-technical presentation, he gives an exciting and colorful history of device technology development and innovation that began in Palo Alto, then spread across the Santa Clara Valley during and following World War II.  You’ll meet some of the colorful characters – Leonard Fuller, Lee de Forest, Bill Eitel, Charles Litton, Fred Terman, David Packard, Bill Hewlett, Russ Varian and others – who came to define the worldwide electronics industries through their inventions and process development.
You’ll understand some of the novel management approaches that have become the hallmark of tech startups and high-tech firms, and the kinds of engineers/developers who thrive in this work environment.
You’ll handle an original Audi on tube, invented by Lee de Forest and improved by him in Palo Alto.
Paul will end by telling us about some current local organizations that keep alive the spirit of the Hams, the Homebrew Computer Club, and the other entrepreneurial groups where geeks gather to invent the future.

Open to all to attend
Online registration is needed. If you did not register, seating is not guaranteed.)

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Distributed Tensorflow with Kubernetes

Saturday, May 4, 2019, 8:30 AM to 5:00 PM

SFBay ACM is conducting a full-day workshop on “Distributed Tensorflow with Kubernetes – AI Workshop” by leading data scientists & practitioners. Early registration discounts available till April 15, 2019. For details and IEEE members registration click
(Here)

IEEE CS Chapter SCV is sponsoring this event and our member can use code “SFBayMeetup15” for a $15 discount.

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The Evolution of Artificial Intelligence: From the Past to the Future & Machine Learning for Veracity of Big Data

2nd annual Computer, Software, and Electrical Engineering Technology Showcase https://engineering.sjsu.edu/technologyshowcase

  • These talks are jointly organized by IEEE CS and IEEE CIS Chapters
  • Third co-sponsor is IEEE SSCS Chapter for helping on publicity
  • Fourth co-sponsor is IEEE CASS Chapter for helping on publicity
  • Fifth co-sponsor is Silicon Valley Engineering Council https://www.svec.org/  for helping on publicity
Time & Location:
From 10am to 11.30am on May 11th 2019 at SJSU.  

(Register here)

Very important:
This event is concurrent with the Spring 2019 SJSU Technology Showcase and it has important logistical information for the event.
The event will be held on the SJSU Campus in the Student Union on Saturday, May 11, 2019.

The event schedule is below:
 9:30 AM -10:30 AM Beverage Service
 10:00 AM -11:30 AM IEEE Chapter Meetings
 11:30 AM – 1:30 PM Box Lunch pick-up
 11:00 AM – 3:00 PM Student Technology Showcase

You can find more information about the event at http://engineering.sjsu.edu/technologyshowcase

A box lunch, either vegetarian or non-vegetarian, and free parking will be provided if you sign up using the Registration Google Form at: https://forms.gle/N7JwFC1dWkusL2CL8
This form will close for entries at midnight, Sunday, May 5, 2019.

We look forward to your participation at our IEEE CS chapter technical event and the Technology Showcase.


 1) Talk title1: The Evolution of Artificial Intelligence: From the Past to the Future

Abstract:
In this talk, I will trace the development of AI through the key inventions in AI, covering the development of machine learning, speech recognition, image understanding, deep learning and reinforcement learning. You will get a behind-the-scene view of Amazon Alexa, Apple Siri, and DeepMind’s AlphaGo. This talk will give you an understanding of core AI technologies today and the historical context behind them. Finally, I will share my view on the next big things, where jobs go, and where new products can be built.

Bio:
Dr. Junling Hu

Dr. Junling Hu is the author of a new book titled The Evolution of Artificial Intelligence.. Dr. Hu has been an AI researcher, technology leader, and educator for the last 20 years. She is a recipient of National Science Foundation Career Award. She has worked as Director of data mining at Samsung, and managed AI teams at PayPal, eBay and Bosch. She has also worked as an Assistant Professor at University of Rochester. Currently she is the CEO of AIPro Camp LLC dba AIPro.io, an AI education company devoted to training and education about AI. Dr. Hu received a PhD in Computer Science from University of Michigan at Ann Arbor and her research was focused on reinforcement learning. Her dissertation title was “Learning in Dynamic Non-cooperative Multiagent Systems” and led to many well-cited papers.

2) Talk Title2: Machine Learning for Veracity of Big Data

Abstract:
Machine Learning is increasingly proving itself to be the mortar of modernization. The talk will examine how Machine Learning can be applied to the problem of veracity of Big Data, particularly, Web information. We are overwhelmingly depending on data for crucial tasks like driving as in self-driving cars, delivery as in autonomous drones and even in electing Presidents of countries, owing to the role of Online Social Networks like Twitter in these elections. Trusting technology has become inevitable. Compromising the quality of data in these circumstances can be hazardously risky. Ideally, data should be entirely truthful and accurate. However, there have been a number of instances where data was manipulated or posted fraudulently for ulterior motives, causing serious damage. Misinformation Containment is indeed a difficult task and computationally, has been proven to be NP-hard.

The Web is an important enabler of the evolving world economy and has the potential to bring more and more people into the mainstream. The Web, being humanity’s largest source of information and interaction, can serve as a conduit of humanitarian services and presents a huge opportunity to enhance the quality of life further. Unfortunately, a significant percent of the information posted on the Web is not entirely true, which substantially limits its ability to serve the needs of the humanity. this talk will go deeper into the ideas from Machine Learning to see how we can help make the World Wide Web, particularly the Social Media part of it, entirely truthful, which should ideally be an important milestone to achieve in the near future. The talk will draw from the speaker’s recent book “Big Data: Machine Learning and Other Approaches to Verifying Truthfulness”.

Bio:
Dr. Vishnu S. Pendyala

Dr. Vishnu S. Pendyala is the author of a new book titled Veracity of Big Data. Dr. Pendyala leads the DevOps activities at Cisco for some significant products. He is a seasoned Technical Leader with over two decades of development, porting, and DevOps experience with industry leaders like Cisco, Synopsys, Informix (now IBM), and Electronics Corporation of India Limited. He received his PhD in Computer Engineering from Santa Clara University. His dissertation title was “Evolving a Truthful Humanitarian World Wide Web”. Earlier, he received MS (Computer Engineering) degree from San Jose State University. He also received BE (Computer Science), MBA(Finance) degrees both from Osmania University, Hyderabad, India.

Open to all to attend
(Online registration is needed. If you did not register, seating is not guaranteed.)

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Networks of the Future, Emerging Technologies for 5G and Beyond

New Frontier in Computing 2019 (NFIC-2019)

Topic: Networks of the Future, Emerging Technologies for 5G and Beyond

Please join us for the 21th annual New Frontiers in Computing Conference on Networks of the Future, Emerging Technologies for 5G and Beyond.

Time and Location:
Tuesday, May 14, 2019 4PM - 10PM
Packard Electrical Engineering Building, Auditorium 101
350 Serra Mall, Stanford, CA 94305

The 21st annual New Frontiers in Computing is a premier event of the:

  • Institute of Electrical and Electronics Engineers (IEEE),
  • IEEE Computer Society of Santa Clara Valley (IEEE CS SCV),
  • IEEE Communications Society of Santa Clara Valley (IEEE ComSoc SCV),
  • North America Taiwanese Engineering Society (NATEA),
  • Stanford Chapter of the IEEE (Stanford IEEE).

Details at registration link and at: https://www.ieee-nfic.org/

(Register here)

Open to all to attend
(Online registration is needed. If you did not register, seating is not guaranteed.)

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