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<span style="font-weight: 600;">ICICLE Release 2025-08</span></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 <b><i>2025-08</i></b> release of ICICLE CI components.</div>
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This release includes the following components:</div>
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<span style="font-weight: 600;">New to ICICLE CI Catalog</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_intelligent-cyberinfrastructure">
<span style="font-weight: 600;">Intelligent Cyberinfrastructure</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_ai-foundations">
<span style="font-weight: 600;">AI Foundations</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="12">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="0" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/ICICLE-Playgrounds" title="https://github.com/ICICLE-ai/ICICLE-Playgrounds" class="OWAAutoLink" id="OWA086c399d-485f-ea6f-9f72-5fd45fde1377" href="https://github.com/ICICLE-ai/ICICLE-Playgrounds">ICICLE-Playgrounds-SDK
v0.1.5.5</a></b></span></li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="14">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
SDK to interact with ICICLE Playgrounds</li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_use-inspired-science">
<span style="font-weight: 600;">Use Inspired Science</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_smart-foodsheds">
<span style="font-weight: 600;">Smart Foodsheds</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="18">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="1" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/GNNFoodFlowPortal" title="https://github.com/ICICLE-ai/GNNFoodFlowPortal" class="OWAAutoLink" id="OWAdef78d28-6c13-af0e-ca35-e042eb276265" href="https://github.com/ICICLE-ai/GNNFoodFlowPortal">Food
Flow Prediction Portal v1.0.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="19">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Web-based visualization portal for exploring and interacting with predicted food flows generated by the GNNFoodFlow models</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="2" data-auth="NotApplicable" data-href="https://gnnfoodflowportal.pods.icicleai.tapis.io/" title="https://gnnfoodflowportal.pods.icicleai.tapis.io/" class="OWAAutoLink" id="OWAb53972a2-9a30-bc49-b735-84320d4d8f2d" href="https://gnnfoodflowportal.pods.icicleai.tapis.io/">Deployed
now and running on Tapis Pods.</a></span></li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="3" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/food-security-sandbox" title="https://github.com/ICICLE-ai/food-security-sandbox" class="OWAAutoLink" id="OWA574893dd-2dd0-2f35-b9fe-1c9be558f204" href="https://github.com/ICICLE-ai/food-security-sandbox">Food
Security Sandbox v1.0.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="24">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
A comprehensive web application that enables farmers and researchers to collaborate on machine learning models while preserving data privacy. The platform provides tools for dataset management, collaborative model training, and privacy risk analysis in agricultural
contexts.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="4" data-auth="NotApplicable" data-href="https://fss.pods.icicleai.tapis.io" title="https://fss.pods.icicleai.tapis.io/" class="OWAAutoLink" id="OWAffadc643-ad34-da21-4f20-c4937c8732ae" href="https://fss.pods.icicleai.tapis.io/">Deployed
now and running on Tapis Pods.</a></span></li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 0px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 16pt; color: black;" class="elementToProof" id="x_icicle-ci-components-changelog">
<span style="font-weight: 600;"><br>
</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 0px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 16pt; color: black;" class="elementToProof" id="x_icicle-ci-components-changelog">
<span style="font-weight: 600;">ICICLE CI Components Changelog</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 16pt; color: black;" class="elementToProof" id="x_intelligent-cyberinfrastructure-1">
<span style="font-weight: 600;">Intelligent Cyberinfrastructure</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 16pt; color: black;" class="elementToProof" id="x_ai-for-ci">
<span style="font-weight: 600;">AI-for-CI</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="33">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="5" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/SMART-COMPILER" title="https://github.com/ICICLE-ai/SMART-COMPILER" class="OWAAutoLink" id="OWA6108c98e-7ba4-1cf7-83d7-51aa3067bac1" href="https://github.com/ICICLE-ai/SMART-COMPILER">Smart
Compiler v2.0.0</a></b></span></li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="34">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
It uses AI models and traditional compiler techniques to enhance the performance scalability of C programs and Python programs by profiling and identifying optimization approaches.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
New in this release (MCP Features):</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<b>MCP Server</b>: Added a server component exposing profiling tools for C and Python code, enabling detailed performance insights.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<b>MCP Client</b>: Included a basic client for testing and interacting with the MCP server, facilitating early adoption and feedback.</li></ul>
</ul>
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<span style="font-weight: 600;">Software Architecture and Design</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="40">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="6" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/OpenPass/tree/dev" title="https://github.com/ICICLE-ai/OpenPass/tree/dev" class="OWAAutoLink" id="OWAd072ef2d-093c-68de-6531-b72d5ffe11b5" href="https://github.com/ICICLE-ai/OpenPass/tree/dev">OpenPass
v2.0.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="41">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
An application used to perform missions and collect data with the help of UAVs (Unmanned Ariel Vehicle)</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="7" data-auth="NotApplicable" data-href="https://github.com/tapis-project" title="https://github.com/tapis-project" class="OWAAutoLink" id="OWA1e433c24-ead1-f218-c9c8-084a77c96d1e" href="https://github.com/tapis-project">TapisBase
v1.9.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="44">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Upgrading to Tapis 1.9.0 release with changes in Apps, Systems, Pods, Workflows, Deployer.</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="8" data-auth="NotApplicable" data-href="https://github.com/tapis-project/ml-hub" title="https://github.com/tapis-project/ml-hub" class="OWAAutoLink" id="OWA80cf5aaf-6f43-c8e2-fbb3-0597abd709af" href="https://github.com/tapis-project/ml-hub">TapisMLHub
v0.3.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="47">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
A suite of APIs for managing and interacting with models, datasets, and inference servers across machine leaning platforms.</li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; padding-bottom: 0.3em; border-bottom: 1px solid rgba(255, 255, 255, 0.28); font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_use-inspired-science-1">
<span style="font-weight: 600;">Use Inspired Science</span></div>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_animal-ecology">
<span style="font-weight: 600;">Animal Ecology</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="53">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="9" data-auth="NotApplicable" data-href="https://github.com/ziesski/VARe-ID" title="https://github.com/ziesski/VARe-ID" class="OWAAutoLink" id="OWA30cfa89b-975f-d527-1939-76a7cdc6be46" href="https://github.com/ziesski/VARe-ID">VARe-ID
v0.3.0</a></b></span></li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="53">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
A modular software pipeline and end-to-end workflow for video-based animal re-identification, which assigns consistent individual IDs by clustering multiview spatio-temporal tracks with minimal human intervention.</li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_digital-agriculture">
<span style="font-weight: 600;">Digital Agriculture</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="57">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="10" data-auth="NotApplicable" data-href="https://icicleai.tapis.io/#/harvest" title="https://icicleai.tapis.io/#/harvest" class="OWAAutoLink" id="OWA5c2fce44-fffd-5bde-c03d-c46ad10b590e" href="https://icicleai.tapis.io/#/harvest">HARVEST
v1.1</a></b></span></li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="57">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
This release adds support for the Expanse system along with shapefile generation, shapefile visualization, and image cropping. It also introduces initial OpenPass integration and data stream capture support</li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; line-height: 1.25; background-color: rgb(255, 255, 255); margin: 24px 0px 16px; font-family: Arial, Helvetica, sans-serif; font-size: 12pt; color: black;" class="elementToProof" id="x_smart-foodsheds-1">
<span style="font-weight: 600;">Smart Foodsheds</span></div>
<ul style="direction: ltr; text-align: left; margin-top: 0px; margin-bottom: 0.7em; background-color: rgb(255, 255, 255);" data-line="60">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="11" data-auth="NotApplicable" data-href="https://github.com/GeoDS/GNNFoodFlow" title="https://github.com/GeoDS/GNNFoodFlow" class="OWAAutoLink" id="OWA437543f5-8e75-4dc2-d186-e77cb686fbec" href="https://github.com/GeoDS/GNNFoodFlow">Food
Flow Prediction GNN v1.5.0</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="61">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Graph Neural Network models for predicting food flow between FAF zones using GAT and GCN architectures</li></ul>
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<div style="direction: ltr; margin: 0px 0px 0.7em; color: rgb(77, 170, 252);" role="presentation">
<b><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="12" data-auth="NotApplicable" data-href="https://github.com/ICICLE-ai/Food-Access-Model" title="https://github.com/ICICLE-ai/Food-Access-Model" class="OWAAutoLink" id="OWA05c442b1-e3e3-83fc-45fc-57f8a2d5aa85" href="https://github.com/ICICLE-ai/Food-Access-Model">Food
Access Strategy Simulator (FASS) v0.2</a></b></div>
</li><ul style="direction: ltr; margin-top: 0px; margin-bottom: 0.7em;" data-line="64">
<li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
Agent-based simulation model to evaluate food accessibility scores</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: black; direction: ltr;">
<span role="presentation" style="color: rgb(77, 170, 252);"><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="13" data-auth="NotApplicable" data-href="https://fass.pods.icicleai.tapis.io" title="https://fass.pods.icicleai.tapis.io/" class="OWAAutoLink" id="OWA23d4e9b4-92f1-0a51-be6e-c2618abaa47e" href="https://fass.pods.icicleai.tapis.io/">Deployed
now and running on Tapis Pods.</a></span></li></ul>
</ul>
<div style="direction: ltr; text-align: left; text-indent: 0px; background-color: rgb(255, 255, 255); margin: 0px 0px 16px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt;" class="elementToProof">
<span style="color: black;">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
</span><span style="color: rgb(77, 170, 252);"><a style="color: rgb(77, 170, 252); margin: 0px;" data-linkindex="14" data-auth="NotApplicable" data-href="https://icicle.ai/cyberinfrastructure/software" title="https://icicle.ai/cyberinfrastructure/software" class="OWAAutoLink" id="OWA75db7b24-aafe-ae7f-dedf-b84196b740dd" href="https://icicle.ai/cyberinfrastructure/software">CI
& Software</a></span></div>
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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.</span></div>
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<span style="font-weight: 600;">Acknowledgements</span></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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