Ann Arbor SPARK Meetups

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Upcoming Meetups


Meetup Ann Arbor SPARKThe Future of Automotive Cybersecurity
A2 Mobility Tech

June 13, 2017

Duo Security - 123 N. Ashley St., Ann Arbor, MI

6:00 pm - 7:30 pm

Register

As cars become more connected and autonomous, cybersecurity has become a critical part of the automotive dev process. Some car hacks have become pretty infamous, like the "Great Jeep Cherokee Hack of 2015", but plenty more have been under the radar.

We'll hear from three people that are doing automotive cybersecurity in Ann Arbor and the ways your car could be secured in the future:

• Sam Savant, TwoScoreTwo on the case for Blockchains in IoT - Data Security, Permissioned Access, Device Control - highlighting scenarios where Blockchains can augment or replace existing procedures, also talk about new customer facing capabilities that result from using Blockchains.

• André Weimerskirch, VP Global Cyber Security at Lear

• Ami Dotan, CEO & Co-Founder, Karamba Security on cutting cybersecurity-related recalls, by sealing ECUs according to factory settings in vehicles.

Thanks to Duo Security for hosting!

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Previous Meetups

h3>Women in Mobility Meetup
Techstars Mobility

May 1, 2017

TechTown Detroit - 440 Burroughs St, Detroit, MI 48202, Test Track Room, Detroit, MI 48202

8:00 am - 10:00 am

Register

Please join us for the second edition of our Women in Mobility meetup. We had a great turnout in January with a lot of requests for a repeat! We'll be meeting at TechTown this time - expect coffee, a light breakfast and more networking. Feel free to pass this link along to any colleagues / friends that you think would be interested in attending.

Parking:

One-hour visitor spots: A handful are available in the parking lot located on the east side of our building.

TechTown lot Free and secure parking: Northeast corner of Cass and Amsterdam avenues.

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Using Data Science to Improve Mobility in A2
A2 Mobility Tech

March 27, 2017

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

6:00 pm

Register

Let's discuss how we can use data science to improve urban transportation in and around Ann Arbor, and outside of Michigan.

The Reinventing Urban Transportation and Mobility (RITMO) project focuses on the use of data science and optimization to transform mobility, accessibility, and urban planning. Prof. Pascal Van Hentenryck from UM and Curt Wolf will describe recent progress in designing and optimizing on-demand multimodal transit systems and the deployment plan for the UM campus. The proposed transit systems address the infamous first/last mile, congestion, and urban sprawl.

If you have an interest in how data science can help improve our transportation systems, how this affects new models of mobility, or how we can improve transportation around Ann Arbor, please join us.

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The Singularity: How AI is Changing Our World

Ypsilanti Artificial Intelligence Meetup

March 28, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

6:00 pm

Registration Open Soon

Artificial intelligence and machine learning are rapidly changing the technology landscape. AI is being to applied to solve problems and automate solutions that previously were thought too hard for computers. At this meetup, let's talk about how we developed this incredible technology, how it is being applied today, and what the future holds for AI. We'll also discuss ways to get started using state-of-the-art deep learning technologies.

 

Connecting the Game Dev Community: February Meetup at the YPSI SPARK Incubator

A2 Game Designers and SPARK

February 16, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

7:00 pm

Register

Last month we had a tremendously successful first meeting with over 60 attendees, including students and faculty from three universities and representatives from multiple companies in the area. This month we are looking to build on that success with talks on both the business and technology aspects of game development.

Larry Kuperman will provide a brief recap of the initial meeting and introduce some assets available for the community.
Rick Hoeg, a business lawyer with extensive experience in working with start-ups, entrepreneurs and tech companies will explain "Virtual Legality," an introduction to the legal issues every game developer needs to understand.
Paul Stefanski, co-founder of Gwydion Inc., will share his perspective on the state of the VR and AR industry, where it might be going, and his company's journey through the birth of that new world.

Free to Everyone!
Refreshments Will Be Served
(Please be sure to register to help us with ordering)

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A Primer on Deep Learning

Ypsilanti Artificial Intelligence Meetup

February 21, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

6:00 pm

Register

In our last meetup, we discussed the general history, evolution, and current applications of artificial intelligence. Now let's dig into the details of modern deep learning. This meetup will be somewhat more technical, as it addresses how the machine learning underpinnings of deep learning work, and how we leverage them to constructs incredible models.

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Virtual Reality

Mobile App, Game VR and Internet of Things

February 2, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

7:00 pm - 8:15 pm

Register

This meetup can be attended by anyone and everyone. Whether or not you know nothing about VR or you're an expert- this meetup is for anyone who is interested in Virtual Reality.

VR GOGGLES WILL BE AVAILABLE AT THE EVENT!

At this event, we want you all to participate and ask as many questions as you can. We want this be as much of an interactive experience as possible.

Snacks and water will be provided at the event! Feel free to bring your own as well. 

All in all, we hope to see as many people as possible attend!

Free to Everyone, Refreshments Will Be Served 

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The Singularity: How AI is Changing Our World

Ypsilanti Artificial Intelligence Meetup

January 24, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

6:00 pm

Artificial intelligence and machine learning are rapidly changing the technology landscape. AI is being to applied to solve problems and automate solutions that previously were thought too hard for computers. At this meetup, let's talk about how we developed this incredible technology, how it is being applied today, and what the future holds for AI. We'll also discuss ways to get started using state-of-the-art deep learning technologies.

 

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Connecting the Game Dev Community

A2 Game Designers and SPARK

January 19, 2017

SPARK East - 215 West Michigan Ave, Ypsilanti, MI 48197

7:00 pm

Register

Join your fellow game developers as we introduce a new game- development-focused incubator in Ypsilanti. Students welcome!

Larry Kuperman, a gaming industry veteran and Director of Business Development for Nightdive Studios, will introduce the new SPARK game development incubator.

  • Connecting developers to resources in the Ann Arbor - Ypsilanti area.
  • Providing affordable space for game development.
  • Leveraging the resources provided by local schools.
  • The economics of games:
    • PC, mobile and console.
    • Premium versus Free to Play.
    • Kickstarter versus publisher models.

Following Larry will be David Cai, co-founder of Gaudium, the studio responsible for the Android game Armor Blitz. David will address:

  • Developing a game title with Unity.
  • The challenges and benefits of the Free-to-play model.
  • Developing and maintaining communities.

Free to Everyone, Refreshments Will Be Served 

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Things you didn't know you could do in Spark

Michigan Spark Users Group

Periscope Archive Link

November 14, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

6:30 pm

Register

Speakers

Jags, CTO, SnappyData,

and

Dr. Barzan Mojafari, Assistant Professor of Computer Science & Engineering,

University of Michigan, Ann Arbor

Abstract

Spark 2.0 offers many enhancements that make continuous  analytics quite simple. In this talk, we will discuss many other things that you can do with your Spark cluster. We explain how a deep integration of Spark 2.0 and in-memory databases can bring you the best of both worlds! In particular, we discuss how to manage mutable data in Spark, run consistent transactions at the same speed as state-the-art in-memory grids, build and use indexes for point lookups, and run 100x more analytics queries at in-memory speeds. No need to bridge multiple products or manage, tune multiple clusters. 

We then walk through several use-case examples, including IoT scenarios, where one has to ingest streams from many sources, cleanse it, manage the deluge by pre-aggregating and tracking metrics per minute, store all recent data in a in-memory store along with history in a data lake and permit interactive analytic queries at this constantly growing data. Rather than stitching together multiple clusters as proposed in Lambda, we walk through a design where everything is achieved in a single, horizontally scalable Spark 2.0 cluster. A design that is simpler, a lot more efficient, and let’s you do everything from Machine Learning and Data Science to Transactions and Visual Analytics all in one single cluster. 

 


Capturing More Linguistic Structure with Graph-Structured Parsing
Ann Arbor/Detroit NLPers (A2D-NLP)

October 20, 2016

The Forge by Pillar Technology - 301 E. Liberty St, Suite 700, Ann Arbor, MI

Register

For our October meetup, Jonathan Kummerfeld will be speaking to us about Graph-Structured Parsing.

The correct interpretation of any sentence is obscured by a vast array of alternatives. Previous work on disambiguating meaning has focused on representations of syntax using tree structures. Simplifying syntax in this way often means leaving out long-distance relations between words, providing less information to downstream tasks such as dialogue and question answering. We propose a new algorithm that is able to efficiently search over graph structures, fully capturing argument structures as a directed acyclic graph. Our dynamic program uniquely decomposes structures, and is sound and complete with respect to the class of one-endpoint crossing graphs.

Jonathan has a Ph.D. from UC Berkeley, where he worked on natural language processing with Dan Klein. His research focuses on new algorithms for interpreting text and analysing system behaviour. In particular, he has built search-based error analysis tools for syntactic parsing and coreference resolution, and a graph-based syntactic parser.

 

Machine Learning to Accelerate Insurance Performance

Machine Learning: Data, Science, and Industry

September 22, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

Register

Its been quite a while since we had a ML meetup. We will be trying to get back to monthly meetings starting this month!

Our talk this month will be from Jeff Mason and Ryan Boldman of Groundspeed.

Groundspeed is an Ann Arbor startup that uses machine learning to automate and analyze communication between insurance brokers and insurance carriers. Learn about the insurance industry, its big data problem, and how Groundspeed is tackling it.

Jeff Mason, CEO - Founded multiple successful tech and insurance enterprises. MBA high distinction, Michigan.

Ryan Boldman, CTO - Former application architect for HealthMedia / Johnson & Johnson. Led 30 person development team focused on 3 million user wellness platform.

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(R)Stan & Police Shootings with Daniel Kessler

Ann Arbor R User Group

September 13, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

Register

R)Stan & Police Shootings: Using a Bayesian Tool to Understand a Real World Problem with Daniel Kessler


This september, we're excited to host Daniel Kessler from UM's Department of Psychiatry & Radiology for a talk that combines a timely topic with a popular and powerful statistical tool.

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FinTech Meetup

Ann Arbor FinTech

August 24, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

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Register

Agenda

6:00 - 6:10: Introduction

6:10 - 6:15:  FinTech 101 - Krishnan

6:15 - 7:00: Bitcoin & Blockchain -  Michael Kobylarek

NOTE: Homework - Read the original bitcoin whitepaper by "Satoshi Nakamoto" to make the meeting more productive.

7:00 - 7:05: FinTech Spotlight - HealPay - Erick Bzovi

7:05 - 7:15:  Other Topics and Adjourn

 


Cool R tools: Packrat and RMarkdown Beyond the Knit Button

Ann Arbor R User Group

August 10, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

Register

Please join us for the August 2016 installment of our monthly meetup series!

This month's meetup will be hosted at Ann Arbor SPARK, who will also be providing pizza for the group.

Co-organizers Andrew Moore and Clayton Yochum will each be giving tutorial style talks. Andrew's talk is titled "Package dependencies in R: why you should be using Packrat". Clayton's talk is titled "Unusual uses for RMarkdown: Beyond the Knit button". 

R users of all levels are encouraged to come! Both talks will be accessible to beginners, but will also likely expose intermediate/advanced users to new tools and tricks. 

Clayton Yochum is a Data Analyst/Engineer at Methods Consultants in Ypsilanti and the University of Michigan School of Social Work's Child and Adolescent DataLab. He has a background in mathematics and business intelligence.

Andrew Moore is a Data Analyst in the School of Social Work at the University of Michigan, working with the Child & Adolescent Data Lab. Andrew has a BA in Psychology from University of Michigan and previously worked as a research technician at both UM's Institute for Social Research and in UM's psychology department.

Join us at HopCat after the talks for the usual food and drinks!!

 


FinTech Meetup

Ann Arbor FinTech

July 20, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

More Information

Agenda

6:00 - 6:10: Introduction

6:10 - 6:15:  FinTech 101 - Krishnan

6:15 - 7:00: Trading Technologies - Mark Klein

7:00 - 7:05: FinTech Spotlight - Mytual - Edward Carrington

7:05 - 7:15:  Other Topics and Adjourn

 


 

GNU Make as a tool for reproducible data analysis

Ann Arbor R User Group

July 14, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

More Information

Please join us for the July 2016 installment of our monthly meetup series!

This month's meetup will be hosted at Ann Arbor SPARK, who will also be providing pizza for the group.

Michelle Berry will give a lightning talk titled "Updates from the tidyverse and highlights from useR!" which will give a brief overview of some of the exciting new R developments showcased at the useR conference. 

Pat Schloss, PhD will give our main talk on using GNU Make as a tool for reproducible data analysis. Makefiles are typically used for generating executables from a program's source files, but the same technology can be used to automate and reproduce an analysis workflow. Pat's talk will cover the motivation for using Make and guide attendees through a tutorial of how to construct a makefile for an analysis (e.g., one in R).

Pat Schloss is an associate professor at University of Michigan in Microbiology and Immunology. His research combines wet lab and computational methods to investigate links between the gut microbiota and disease. He is the developer of the mothur software for analyzing microbial short read sequence data. 

Join us at HopCat after the talks for the usual food and drinks!!


 

Meetup - Inaugural Event

Ann Arbor FinTech

June 22, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

More Information

Agenda

6:00 - 6:15pm  Introductions (Everyone)

6:15 -  6:45pm  FinTech 101 - Presentation  (Krishnan)

6:45 - 7:30pm  Meetup Administrative Items (Everyone)

                                 1) Logistics

                                 2) Meeting format

                                 3) Ideas for future meeting topics


AARUG May Beginning R Workshop

Ann Arbor R User Group

May 21 - 22, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

More Information

The Ann Arbor R User Group is excited to host a two-day beginner R workshop. R is an open-source programming software, used widely in both industry and academia, for data processing, analysis, and visualization. This workshop is geared towards the novice R user, and requires no prior programming experience. The workshop will be fully interactive, and will cover basic programming concepts in R as well as applied modules on statistical analysis and data visualization. By the end of the workshop, participants will feel confident at importing, manipulating, and plotting a dataset using dplyr and ggplot2, some of R's most popular packages. 

The workshop will run from 1-5 pm on Saturday May 21st and Sunday May 22nd. As space is limited, please only register if you can attend both days of the workshop. If you are registered but can no longer attend, please cancel your order and email the organizers so that someone else can take your spot.


Ann Arbor ASA Meeting
Ann Arbor Chapter of the American Statistical Association

May 10, 2016

Ann Arbor SPARK - 201 S. Division, Ann Arbor, MI 48104

More Information

The Ann Arbor Chapter of the American Statistical Association holds regular meetings that are open to anybody interested in statistics, data and analysis. The ideal member would be anybody interested in data analysis, statistics, and using data to understand our world better. We intend to learn, share information, and have fun with data (believe it or not!). We're still figuring out our activities, but we expect to have some 'how to' talks about statistics and statistical software.


Ann Arbor/Detroit NLPers (A2D-NLP)NLPers meetup, ann arbor meet ups
Modern Applied Machine Learning for NLP (Part 2: Deep Learning)

April 27, 2016

SPARK Central Innovation Center - 330 E. Liberty, Ann Arbor, MI 48104

More Information

In this two-part talk, Dan Pressel from Digital Roots will discuss modern Machine Learning techniques and methods that have become popular for handling large scale machine learning problems.  This will include a practical discussion about online learning, overlapped processing, feature hashing, optimization with Stochastic Gradient Descent variants, as well as software implementation details and patterns for Linear Classification, Deep Neural Networks (DNNs) for NLP on a variety of platforms using these techniques.

Part II of this talk covers:

• Refitting our ML understanding for deep learning

• More on Continuous/Dense Representations

• Optimization for DNNs

• Neural Bag of Words models

• Sentence modeling with CNNs for classification

• Language modeling with RNNs

• Tagging tasks with CNNs and RNNs

As in the first talk, along the way, we will get into implementation details, so some experience with machine learning and programming is advised.

Spark will provide food and drink!

 


 

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