New Open Source Project Uses Machine Learning to Inform …
Linux Foundation with support from IBM and Call for Code hosts Intelligent Supervision Assistant for Construction project from Build Change to help builders identify structural issues in masonry walls or concrete columns, especially in areas affected by disasters
SAN FRANCISCO, June 10, 2021 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced it will host the Intelligent Supervision Assistant for Construction (ISAC-SIMO) project, which was created by Build Change with a grant from IBM as part of the Call for Code initiative. The Autodesk Foundation, a Build Change funder, also contributed pro-bono expertise to advise the projects development.
Build Change helps save lives in earthquakes and windstorms. Its mission is to prevent housing loss caused by disasters by transforming the systems that regulate, finance, build and improve houses around the world.
ISAC-SIMO packages important construction quality assurance checks into a convenient mobile app. The tool harnesses the power of machine learning and image processing to provide feedback on specific construction elements such as masonry walls and reinforced concrete columns. Users can choose a building element check and upload a photo from the site to receive a quick assessment.
ISAC-SIMO has amazing potential to radically improve construction quality and ensure that homes are built or strengthened to a resilient standard, especially in areas affected by earthquakes, windstorms, and climate change, said Dr. Elizabeth Hausler, Founder & CEO of Build Change. Weve created a foundation from which the open source community can develop and contribute different models to enable this tool to reach its full potential. The Linux Foundation, building on the support of IBM over these past three years, will help us build this community.
ISAC-SIMO was imagined as a solution to gaps in technical knowledge that were apparent in the field. The app ensures that workmanship issues can be more easily identified by anyone with a phone, instead of solely relying on technical staff. It does this by comparing user-uploaded images against trained models to assess whether the work done is broadly acceptable (go) or not (no go) along with a specific score. The project is itself built on open source software, including Python through Django, Jupyter Notebooks, and React Native.
Due to the pandemic, the project deliverables and target audience have evolved. Rather than sharing information and workflows between separate users within the app, the app has pivoted to provide tools for each user to perform their own checks based on their role and location. This has led to a general framework that is well-suited for plugging in models from the open source community, beyond Build Changes original use case, said Daniel Krook, IBM Chief Technology Officer for the Call for Code Global Initiative.
IBM and The Linux Foundation have a rich history of deploying projects that fundamentally make change and progress in society through innovation and remain committed during COVID-19. The winner of the 2018 Call for Code Global Challenge, Project OWL, contributed its IoT device firmware in March 2020 as the ClusterDuck Protocol, and since then, twelve more Call for Code deployment projects like ISAC-SIMO that address disasters, climate change, and racial justice, have been open sourced for communities that need them most.
The project encourages new users to contribute and to deploy the software in new environments around the world. Priorities for short term updates include improvements in user interface, contributions to the image dataset for different construction elements, and support to automatically detect if the perspective of an image is flawed. For more information, please visit: https://www.isac-simo.net/docs/contribute/.
For more information on IBMs role in this work, please visit: https://developer.ibm.com/callforcode/blogs/call-for-code-app-uses-ai-to-make-homes-safer-and-more-resilient/.
About The Linux Foundation
Founded in 2000, The Linux Foundation is supported by more than 1,000 members and is the worlds leading home for collaboration on open source software, open standards, open data, and open hardware. The Linux Foundations projects are critical to the worlds infrastructure including Linux, Kubernetes, Node.js, and more. The Linux Foundations methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.
###
The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.
Media Contact
Jennifer Cloerfor the Linux Foundation503-867-2304jennifer@storychangesculture.com
More here:
New Open Source Project Uses Machine Learning to Inform ...
- HS-SPME/GCMS and Machine Learning Enable Volatile Fingerprinting and Classification of Commercial Vinegars - Chromatography Online - April 12th, 2026 [April 12th, 2026]
- Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now? - Cureus - April 12th, 2026 [April 12th, 2026]
- CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic... - April 12th, 2026 [April 12th, 2026]
- Machine-learning-based reconstruction of Ming-dynasty defensive corridors in Yuxian - Nature - April 12th, 2026 [April 12th, 2026]
- Have you published a disruptive paper? New machine-learning tool helps you check - Physics World - April 12th, 2026 [April 12th, 2026]
- Microsoft is automatically updating Windows 11 24H2 to 25H2 using machine learning - TweakTown - April 5th, 2026 [April 5th, 2026]
- Inside the Magic of Machine Learning That Powers Enemy AI in Arc Raiders - 80 Level - April 3rd, 2026 [April 3rd, 2026]
- We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents observations - The... - April 3rd, 2026 [April 3rd, 2026]
- Boston University To Apply Machine Learning To Alzheimers Biomarker And Cognitive Data - Quantum Zeitgeist - April 3rd, 2026 [April 3rd, 2026]
- Sony buys machine-learning company to help "enhance gameplay visuals, improve rendering techniques, and unlock new levels of visual... - April 3rd, 2026 [April 3rd, 2026]
- The Machine Learning Stack Is Being Rebuilt From Scratch Here's What Developers Need to Know in 2026 - HackerNoon - April 3rd, 2026 [April 3rd, 2026]
- Closing the Revenue Gap: Leveraging Machine Learning to Solve the $260 Billion Denial Crisis - vocal.media - April 3rd, 2026 [April 3rd, 2026]
- Machine Learning for Pharmaceuticals Set to Witness Rapid - openPR.com - April 3rd, 2026 [April 3rd, 2026]
- You Must Address These 4 Concerns To Deploy Predictive AI - Machine Learning Week US - March 30th, 2026 [March 30th, 2026]
- Google and the rise of space-based machine learning - Latitude Media - March 30th, 2026 [March 30th, 2026]
- Researchers use machine learning and social network theory to identify formation patterns in digital forums - techxplore.com - March 30th, 2026 [March 30th, 2026]
- Mayo Clinic Study Uses Wearables and Machine Learning to Predict COPD Rehab Participation - HIT Consultant - March 30th, 2026 [March 30th, 2026]
- Machine learning at the edge in retail: constraints and gains - IoT News - March 26th, 2026 [March 26th, 2026]
- AI agents are flashy, but machine learning still pays the bills - TechRadar - March 26th, 2026 [March 26th, 2026]
- Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress - Phys.org - March 26th, 2026 [March 26th, 2026]
- Machine learning analysis of CT scans - National Institutes of Health (.gov) - March 22nd, 2026 [March 22nd, 2026]
- TransUnion Machine Learning Fraud Tools Tested Against Weak Share Price Momentum - simplywall.st - March 22nd, 2026 [March 22nd, 2026]
- Machine learning could help predict how people with depression respond to treatment - Medical Xpress - March 22nd, 2026 [March 22nd, 2026]
- KR approves machine learning-based fuel reduction methodology - Smart Maritime Network - March 22nd, 2026 [March 22nd, 2026]
- Available solar energy in Andalusia will increase through the end of the century, machine learning model finds - Tech Xplore - March 22nd, 2026 [March 22nd, 2026]
- How Machine Learning Is Reshaping Environmental Policy and Water Governance - Devdiscourse - March 22nd, 2026 [March 22nd, 2026]
- Chemistry student uses machine learning to transform gene therapy production - The University of North Carolina at Chapel Hill - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - City of Brownsville to build smart city safety solution - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - London borough overhauls public safety infrastructure - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- Titan Technology Corp. Responds to Alberta Innovates RFP AI, Machine Learning and Automation Services - TradingView - March 13th, 2026 [March 13th, 2026]
- Vietnam FPT's AI automation solution secures new machine learning patent on overseas market - VnExpress International - March 13th, 2026 [March 13th, 2026]
- AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine - Tech Times - March 13th, 2026 [March 13th, 2026]
- Future Perspectives: Key Trends Shaping the Machine Learning Market in Financial Services Until 2030 - openPR.com - March 13th, 2026 [March 13th, 2026]
- How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathys AutoResearch Framework for Hyperparameter Discovery... - March 13th, 2026 [March 13th, 2026]
- The Arc in Arc Raiders have multiple "brains," and they all love pursuing you because Embark gives them "rewards" in real-time via... - March 13th, 2026 [March 13th, 2026]
- OnPoint AI to Present its Augmented Reality and Machine Learning Surgical Platform at the 2026 Canaccord Genuity Musculoskeletal Conference - Yahoo... - February 27th, 2026 [February 27th, 2026]
- TD Bank continues to develop AI, machine learning tools - Auto Finance News - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning - Tech companies team to scale private 5G and physical AI - Smart Cities World - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning in Dating Apps: Smarter Matchmaking Algorithms - Programming Insider - February 27th, 2026 [February 27th, 2026]
- Machine-Learning App Helps Anesthesiologists Navigate Critical Surgical Equipment in Real Time - Carle Illinois College of Medicine - February 24th, 2026 [February 24th, 2026]
- Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery - Yahoo Finance - February 24th, 2026 [February 24th, 2026]
- How Brain Data and Machine Learning Could Transform the Aging Industry - gritdaily.com - February 24th, 2026 [February 24th, 2026]
- AI and machine learning trends for Arizona leaders to watch in healthcare delivery and traveler services - AZ Big Media - February 24th, 2026 [February 24th, 2026]
- AI and machine learning are the future of Wi-Fi management: WBA report - Telecompetitor - February 22nd, 2026 [February 22nd, 2026]
- Machine learning streamlines the complexities of making better proteins - Science News - February 20th, 2026 [February 20th, 2026]
- WBA Publishes Guidance on Artificial Intelligence and Machine Learning for Intelligent Wi-Fi - ARC Advisory Group - February 20th, 2026 [February 20th, 2026]
- Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer - Nature - February 20th, 2026 [February 20th, 2026]
- Exploring Machine Learning at the DOF - University of the Philippines Diliman - February 20th, 2026 [February 20th, 2026]
- AI and Machine Learning - Where US agencies are finding measurable value from AI - Smart Cities World - February 20th, 2026 [February 20th, 2026]
- Modeling visual perception of Chinese classical private gardens with image parsing and interpretable machine learning - Nature - February 16th, 2026 [February 16th, 2026]
- Analysis of Market Segments and Major Growth Areas in the Machine Learning (ML) Feature Lineage Tools Market - openPR.com - February 16th, 2026 [February 16th, 2026]
- Apple Makes One Of Its Largest Ever Acquisitions, Buys The Israeli Machine Learning Firm, Q.ai - Wccftech - February 1st, 2026 [February 1st, 2026]
- Keysights Machine Learning Toolkit to Speed Device Modeling and PDK Dev - All About Circuits - February 1st, 2026 [February 1st, 2026]
- University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy - Quantum Zeitgeist - February 1st, 2026 [February 1st, 2026]
- How AI and Machine Learning Are Transforming Mobile Banking Apps - vocal.media - February 1st, 2026 [February 1st, 2026]
- Machine Learning in Production? What This Really Means - Towards Data Science - January 28th, 2026 [January 28th, 2026]
- Best Machine Learning Stocks of 2026 and How to Invest in Them - The Motley Fool - January 28th, 2026 [January 28th, 2026]
- Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region - Nature - January 28th, 2026 [January 28th, 2026]
- Machine Learning Predicts the Strength of Carbonated Recycled Concrete - AZoBuild - January 28th, 2026 [January 28th, 2026]
- Vertiv Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues... - January 28th, 2026 [January 28th, 2026]
- Machine Learning in Network Security: The 2026 Firewall Shift - openPR.com - January 28th, 2026 [January 28th, 2026]
- Why IBMs New Machine-Learning Model Is a Big Deal for Next-Generation Chips - TipRanks - January 24th, 2026 [January 24th, 2026]
- A no-compromise amplifier solution: Synergy teams up with Wampler and Friedman to launch its machine-learning power amp and promises to change the... - January 24th, 2026 [January 24th, 2026]
- Our amplifier learns your cabinets impedance through controlled sweeps and continues to monitor it in real-time: Synergys Power Amp Machine-Learning... - January 24th, 2026 [January 24th, 2026]
- Machine Learning Studied to Predict Response to Advanced Overactive Bladder Therapies - Sandip Vasavada - UroToday - January 24th, 2026 [January 24th, 2026]
- Blending Education, Machine Learning to Detect IV Fluid Contaminated CBCs, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Why its critical to move beyond overly aggregated machine-learning metrics - MIT News - January 24th, 2026 [January 24th, 2026]
- Machine Learning Lends a Helping Hand to Prosthetics - AIP Publishing LLC - January 24th, 2026 [January 24th, 2026]
- Hassan Taher Explains the Fundamentals of Machine Learning and Its Relationship to AI - mitechnews.com - January 24th, 2026 [January 24th, 2026]
- Keysight targets faster PDK development with machine learning toolkit - eeNews Europe - January 24th, 2026 [January 24th, 2026]
- Training and external validation of machine learning supervised prognostic models of upper tract urothelial cancer (UTUC) after nephroureterectomy -... - January 24th, 2026 [January 24th, 2026]
- Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal... - January 24th, 2026 [January 24th, 2026]
- Uncovering Hidden IV Fluid Contamination Through Machine Learning, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Machine learning identifies factors that may determine the age of onset of Huntington's disease - Medical Xpress - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - WEF expands Fourth Industrial Revolution Network - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- Machine-learning analysis reclassifies armed conflicts into three new archetypes - The Brighter Side of News - January 24th, 2026 [January 24th, 2026]
- Machine learning and AI the future of drought monitoring in Canada - sasktoday.ca - January 24th, 2026 [January 24th, 2026]
- Machine learning revolutionises the development of nanocomposite membranes for CO capture - European Coatings - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - Leading data infrastructure is helping power better lives in Sunderland - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- How banks are responsibly embedding machine learning and GenAI into AML surveillance - Compliance Week - January 20th, 2026 [January 20th, 2026]