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<b>ICICLE Release 2024-12</b></div>
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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.</div>
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It is with great pleasure that we announce this <b><i>2024-12</i></b> release of ICICLE CI components.</div>
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This release includes the following components:</div>
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<b>New to ICICLE CI Catalog</b></div>
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<b>Intelligent Cyberinfrastructure</b></div>
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<b>AI Foundations</b></div>
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<b><a href="https://urldefense.com/v3/__https://patra-toolkit.readthedocs.io/en/latest/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBZL6yz_k$" target="_blank" id="OWAe8b2b7b1-cd7c-dc6c-6574-ad1e2951a2ad" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://patra-toolkit.readthedocs.io/en/latest/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBZL6yz_k$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin: 0px;">Patra
Model Card Toolkit v0.1.2</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Toolkit for semi-automated modelcard creation for AI/ML models.</li></ul>
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<b><a href="https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/patra-kg__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBWOmVS89$" target="_blank" id="OWA2c5ffd7b-1ecf-cd55-d880-1c75b856d34d" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/patra-kg__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBWOmVS89$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="1" style="margin: 0px;">Patra
Model Card Knowledge Graph v0.1.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.</li></ul>
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<b><a href="https://urldefense.com/v3/__https://github.com/ICICLE-ai/ScienceAgent__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBX0f9ObJ$" target="_blank" id="OWAd8dd3995-2940-0a24-0c8c-2eaeb665e1b0" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/ICICLE-ai/ScienceAgent__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBX0f9ObJ$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="2" style="margin: 0px;">Science
Agents v1.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black;">
<div style="direction: ltr; margin: 0px;">Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.</div>
</li></ul>
</ul>
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<b>AI for CI-for-AI</b></div>
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<b><a href="https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/cyberinfrastructure-knowledge-network__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBaESaJ5P$" target="_blank" id="OWAf2545c3e-3c07-6214-07b3-8646e6234fca" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/Data-to-Insight-Center/cyberinfrastructure-knowledge-network__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBaESaJ5P$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="3" style="margin: 0px;">Cyberinfrastructure
Knowledge Network (CKN) v0.1.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
The Cyberinfrastructure Knowledge Network is a distributed framework designed to optimize AI at the edge.</li></ul>
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<b><a href="https://urldefense.com/v3/__https://github.com/ICICLE-ai/fastkg-icicle__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBchPdi-D$" target="_blank" id="OWA3e7b3c95-bc2d-69f6-c0a3-b6470118b340" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/ICICLE-ai/fastkg-icicle__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBchPdi-D$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="4" style="margin: 0px;">FastKG
v0.1.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black;">
<div style="direction: ltr; margin: 0px;">An efficient Knowledge Graph Embedding training library in PyTorch.</div>
</li></ul>
</ul>
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<b>Use Inspired Science</b></div>
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<b>Animal Ecology</b></div>
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<b><a href="https://urldefense.com/v3/__https://github.com/jennamk14/adae_model__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBY8Mas09$" target="_blank" id="OWA039059fa-d49f-355c-c629-e91e5966f2c2" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/jennamk14/adae_model__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBY8Mas09$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="5" style="margin: 0px;">AI-Driven
Animal Ecology Workload Model v1.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black;">
<div style="direction: ltr; margin: 0px;">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.</div>
</li></ul>
</ul>
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<b>Smart Foodsheds</b></div>
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<b><a href="https://urldefense.com/v3/__https://fass.pods.icicleai.tapis.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYPbWV2Y$" target="_blank" id="OWA8d41bac6-64c4-75a0-8777-33e6b4ed1260" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://fass.pods.icicleai.tapis.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYPbWV2Y$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="6" style="margin: 0px;">Food
Access Strategy Simulator (FASS) v0.1</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Use Guide: <a href="https://urldefense.com/v3/__https://github.com/ICICLE-ai/training-catalog/blob/main/FASS.md__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBQv7KE5h$" target="_blank" id="OWA3370ed87-e2f6-2b69-6f00-e9790420b675" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/ICICLE-ai/training-catalog/blob/main/FASS.md__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBQv7KE5h$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="7" style="margin: 0px;">
https://github.com/ICICLE-ai/training-catalog/blob/main/FASS.md</a></li></ul>
</ul>
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<b>ICICLE CI Components Changelog</b></div>
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<b>Intelligent Cyberinfrastructure</b></div>
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<b>AI Foundations</b></div>
<ul style="direction: ltr; text-align: left; background-color: rgb(255, 255, 255);">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<b><a href="https://urldefense.com/v3/__https://github.com/ICICLE-ai/speech-server__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBfEX6sj-$" target="_blank" id="OWAdaa090a7-3d3f-a4f2-9e61-28905aa3e762" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/ICICLE-ai/speech-server__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBfEX6sj-$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="8" style="margin: 0px;">Plug-and-Play
Speech Interfaces v0.2</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black;">
<div style="direction: ltr; margin: 0px;">Models deployed now via TorchServe and running on Tapis Pods. [link] (<a href="https://urldefense.com/v3/__https://testserver.pods.icicleai.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYrsJdDn$" target="_blank" id="OWA3cf9e965-fe59-eb40-7636-a18cf17eb24c" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://testserver.pods.icicleai.io/__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBYrsJdDn$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="9" style="margin: 0px;">https://testserver.pods.icicleai.io</a>)</div>
</li></ul>
</ul>
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<b>Use Inspired Science</b></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; background-color: rgb(255, 255, 255); margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; color: black;">
<b>Animal Ecology</b></div>
<ul style="direction: ltr; text-align: left; background-color: rgb(255, 255, 255);">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<b><a href="https://urldefense.com/v3/__https://github.com/tapis-project/camera-traps__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBSCd0cds$" target="_blank" id="OWA1295fc17-1bf6-5997-38d9-40c35defe404" class="x_x_x_OWAAutoLink" title="https://urldefense.com/v3/__https://github.com/tapis-project/camera-traps__;!!KGKeukY!zSomshupDs29pu9aXpOI2OuP219jhKtE5zKKJljCMouyJ3n9gTwNYYA7YSiNj098W4Lk8txWdf76960YO7UAwjccv0EgBSCd0cds$" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="10" style="margin: 0px;">Camera
Traps Edge Simulator v0.4.0</a></b></li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
New Oracle plugin for collecting ground truth data.</li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Incorporation of new CKN daemon for gathering performance data.</li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
This program runs as a standalone process (a separate container) and sends performance data to the cloud via a Kafka broker.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
It gathers data from the image_mapping_final.json file generated by the Oracle plugin.</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Several enhancements to the Image Scoring plugin:</li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Added support for streaming (input) data from a zip archive file defined by a publicly accessible URL.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Overhaul of the existing Power Monitoring Plugin.</li><ul style="direction: ltr;">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li></ul>
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New installer command-line program to facilitate installations with a high degree of customization.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
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.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Added support for Jetson Nanos through a series of updates and code refactoring.</li></ul>
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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
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<b>Acknowledgements</b></div>
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<i>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)</i></div>
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