[Icicle-discuss] Announcing: ICICLE 2024-12 Release

[Guzman, Carlos]

ICICLE Release 2024-12
The ICICLE team aims to build the next generation Cyberinfrastructure (CI) to render Artificial Intelligence (AI) more accessible to everyone and to drive its democratization further in solving larger societal problems.
It is with great pleasure that we announce this 2024-12 release of ICICLE CI components.
This release includes the following components:
New to ICICLE CI Catalog
Intelligent Cyberinfrastructure
AI Foundations

  *   Patra Model Card Toolkit v0.1.2<https://urldefense.com/v3/__https://patra-toolkit.readthedocs.io/en/latest/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBZL6yz_k$>
     *   Toolkit for semi-automated modelcard creation for AI/ML models.
  *   Patra Model Card Knowledge Graph v0.1.0<https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/patra-kg__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBWOmVS89$>
     *   Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.
  *   Science Agents v1.0<https://urldefense.com/v3/__https://github.com/ICICLE-ai/ScienceAgent__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBX0f9ObJ$>
     *
Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.

AI for CI-for-AI

  *   Cyberinfrastructure Knowledge Network (CKN) v0.1.0<https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/cyberinfrastructure-knowledge-network__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBaESaJ5P$>
     *   The Cyberinfrastructure Knowledge Network is a distributed framework designed to optimize AI at the edge.
  *   FastKG v0.1.0<https://urldefense.com/v3/__https://github.com/ICICLE-ai/fastkg-icicle__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBchPdi-D$>
     *
An efficient Knowledge Graph Embedding training library in PyTorch.

Use Inspired Science
Animal Ecology

  *   AI-Driven Animal Ecology Workload Model v1.0<https://urldefense.com/v3/__https://github.com/jennamk14/adae_model__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBY8Mas09$>
     *
Software for modeling workloads from AI-Driven Animal Ecology (ADAE) studies. Provides tools for extracting arrival rates from real ADAE studies and modeling them as time-varying Poisson processes. These simulated workloads can be used to test different scaling techniques and validate edge computing systems for ADAE studies in the field.

Smart Foodsheds

  *   Food Access Strategy Simulator (FASS) v0.1<https://urldefense.com/v3/__https://fass.pods.icicleai.tapis.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYPbWV2Y$>
     *   The Food Access and Strategy Simulation tool is a powerful resource for analyzing and simulating the effects of adding or removing stores on household food access. This guide provides clear, step-by-step instructions to help you navigate and utilize the tool effectively.
     *   Use Guide: https://github.com/ICICLE-ai/training-catalog/blob/main/FASS.md<https://urldefense.com/v3/__https://github.com/ICICLE-ai/training-catalog/blob/main/FASS.md__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBQv7KE5h$>

ICICLE CI Components Changelog
Intelligent Cyberinfrastructure
AI Foundations

  *   Plug-and-Play Speech Interfaces v0.2<https://urldefense.com/v3/__https://github.com/ICICLE-ai/speech-server__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBfEX6sj-$>
     *
Models deployed now via TorchServe and running on Tapis Pods. [link] (https://testserver.pods.icicleai.io<https://urldefense.com/v3/__https://testserver.pods.icicleai.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYrsJdDn$>)

Use Inspired Science
Animal Ecology

  *   Camera Traps Edge Simulator v0.4.0<https://urldefense.com/v3/__https://github.com/tapis-project/camera-traps__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBSCd0cds$>
     *   New Oracle plugin for collecting ground truth data.
        *   This plugin utilizes data about the image labels as well as events generated by all of the other plugins to create a "image_mapping_final.json" file that can be used to evaluate the performance of individual plugins as well as the overall performance of the application.
     *   Incorporation of new CKN daemon for gathering performance data.
        *   This program runs as a standalone process (a separate container) and sends performance data to the cloud via a Kafka broker.
        *   It gathers data from the image_mapping_final.json file generated by the Oracle plugin.
     *   Several enhancements to the Image Scoring plugin:
        *   Added support for streaming (input) data from a zip archive file defined by a publicly accessible URL.
        *   Added support for dynamically configuring the ML model; plugin will fetch the model (pt) files at start up, as needed, from the URL specified by the CKN Model Graph API.
     *   Overhaul of the existing Power Monitoring Plugin.
        *   Support was added for the Power Joular backend, a production-grade power monitoring tool written in Ada. This mitigates concerns with the lack of maintenance of Scaphandre, which appears to be abandoned.
        *   The code for the plugin was completely rewritten to simplify maintenance and improve modularity and extensibility so that adding support for additional tools will be easier.
     *   New installer command-line program to facilitate installations with a high degree of customization.
     *   Complete integration test suite for end-to-end testing of the Camera Traps application (maintained in a separate repo). This test suite is triggered by GitHub actions.
     *   Added support for Jetson Nanos through a series of updates and code refactoring.

The ICICLE team is committed to delivering the best software and CI components. We welcome your feedback and suggestions for future releases. A list of all ICICLE components can be found on our website under CI & Software<https://urldefense.com/v3/__https://icicle.ai/cyberinfrastructure/software__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBfdTHfjB$>
Please subscribe to icicle-discuss<https://lists.osu.edu/mailman/listinfo/icicle-discuss> and post to discuss all installation/build problems, performance issues, features and other miscellaneous questions related to the different software and CI components of the ICICLE project. You are welcome to post patches and enhancements to the released components.
Subscribe to our mailing list icicle-announce<https://lists.osu.edu/mailman/listinfo/icicle-announce> to stay up to date on the latest ICICLE news and releases.
Acknowledgements
This release is brought to you by the National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)
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