Visual Recognition with Anki Cozmo and TensorFlow

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Visual Recognition with Anki Cozmo and TensorFlow - Deployed on IBM Cloud viaKubernetes and Apache OpenWhisk https://github.com/nheidloff/visual-recognition-for-cozmo-with-tensorflow http://heidloff.net/article/visual-recognition-for-cozmo-with-tensorflow https://twitter.com/nheidloff https://github.com/anki/cozmo-python-sdk https://codelabs.developers.google.com/codelabs/tensorflow-for-poets https://www.ibm.com/cloud https://openwhisk.apache.org

Visual Recognition with
Anki Cozmo and TensorFlow
Deployed on IBM Cloud via
Kubernetes and Apache OpenWhisk
December 2017
Niklas Heidloff
Developer Advocate, IBM
@nheidloff
Ansgar Schmidt
Developer Advocate, IBM
@ansi

Setup Cozmo recognizes different Toys
Cozmo’s View:
@nheidloff
@ansi

Demo Demo
@nheidloff
@ansi
Cozmo’s Brain

Training Training – Circle around Toys and take Pictures
@nheidloff
@ansi

Training Training – Architecture
MobileNet
@nheidloff
@ansi

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@nheidloff
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@nheidloff
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ResourcesResources
•  https://github.com/nheidloff/visual-recognition-for-cozmo-
with-tensorﬂow
•  https://github.com/anki/cozmo-python-sdk
•  https://codelabs.developers.google.com/codelabs/
tensorﬂow-for-poets
•  https://www.ibm.com/cloud
•  https://openwhisk.apache.org

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NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?

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Natan Silnitsky

In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey. Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience. Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system. Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.

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Globus

Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.

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Globus

Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.

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2. Setup Cozmo recognizes different Toys Cozmo’s View: @nheidloff @ansi

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