TensorFlow for IOT

Jun 28, 2017 · San Francisco, United States of America

Main Talk: TensorFlow for IOT

Abstract: How Deep Learning will change IoT to take us into new era of AI driven smart IoT devices with intelligence at the edge. Come learn how to use Tensorflow deep learning models on your IoT devices. Talk will cover use cases and code details for running Tensorflow models on Intel Edison and Raspberry Pi.

Speaker:  Geeta Chauhan (SVSG)

Bio: Geeta Chauhan is a Consulting CTO at SVSG with 20+ years of experience building new products, leading diverse global teams, scaling and architecting complex distributed systems for companies ranging from nimble startups to Fortune 500s. These days you can find her in the hallways of AI startups building Deep Learning based platforms or tinkering in her garage to convert her electric car to run autonomously.
Prior to this, she was the CTO of Data Platforms at Alcatel-Lucent and led the Advanced Technology incubator for Genesys Labs.
She is passionate about sustainability and mentors’ startups at Clean Tech Open the largest clean technology accelerator in the world.

Lightning Talk: News Recommendation at SmartNews

Speaker: Naoki Orii (SmartNews)

Abstract:  Given the recent political developments around the world and the consequent discussions on the "filter bubble”, news recommendation proves itself to be a difficult, yet interesting task. In this talk, we’ll discuss challenges in building news recommender systems, presenting our two-stage approach and sharing practical insights that we've learned along the way.

Bio: Naoki is a software engineer at SmartNews, where he currently focuses on recommendations. He has a Masters in Computer Science from Carnegie Mellon University.

Tentative Schedule:

6:30pm-7:00pm -- pre-reception

7:00pm-7:30pm -- lightning talk

7:30pm-8:30pm -- main talk 

8:30pm-9:00pm -- post-reception

Acknowledgments: Thanks to the speakers, and to SmartNews for hosting and Intel for sponsoring food/drink as well as the DevMesh competition (see below)!

Intel DevMesh

Intel also created a mini contest for all the participants. If you have a ML project and want to showcase it, share it, or collaborate it with others, submit it to DevMesh. Everyone who submits a project to DevMesh will get remote access to Machine Learning Servers. On top of that, best projects will be selected and each winner will receive a gift card (amount TBA). 

Instructions to join DevMesh:

1/ Create a new account at devmesh.intel.com 

2/ Join your dedicated group - Artificial Intelligence West Coast

3/ To submit a project, click on "add a project" 

*when submitting your project, make sure to select "Artificial Intelligence West Coast" as your group.

To receive invitations for Intel webinars, news and tools for Machine Learning and Deep Learning, register in the link below: 


Event organizers
  • SF Bayarea Machine Learning

    A group to discuss all things Machine Learning! Topics may include (but are not limited to): learning theory, computer vision, natural language processing, data mining, computer audition, etc. Everyone is welcome! Videos of past meetups  • on Hakka Labs • on Vimeo Other local Machine Learning groups: https://www.noisebridge.net/index.php?title=Machine_Learning  

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