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Free Webinar: Introduction to 3D Slicer and Segmentation

Getting started with 3D Slicer doesn’t have to be complicated. Join our free webinar to learn how to navigate the application, load medical imaging data, and perform segmentation using the built-in Segment Editor. Discover how AI-powered segmentation works through a live demonstration of the Total Segmentator module.

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CMake: Making Hard Things Easy

Complex build systems can slow down development. Discover how CMake helps manage dependencies, identify build bottlenecks, and improve performance. Drawing on his CppCon 2026 talk, Kitware’s Bill Hoffman shares practical examples and capabilities you can apply to simplify your C++ development workflows.

Build Your Career at Kitware

Are you looking for an opportunity to apply your expertise to meaningful technical challenges? At Kitware, you’ll collaborate with talented teams, contribute to innovative research and development, and help advance open source technologies used across industries. Explore our open positions and discover where your skills could make an impact.

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Riverside Research and Kitware, Inc. Strengthen Secure Deployment of Software Updates Across Complex Software Ecosystems

Riverside Research, a defense technology nonprofit focusing on intelligence, announced a collaboration with Kitware, Inc., a custom software and AI developer, to develop capabilities that enable organizations to securely and reliably deploy software patches and updates for fielded software inventories.

Trusted by Leaders Across Industry, Government, and Academia

We collaborate with a diverse set of customers, including Fortune 500 companies, government agencies, and academic institutions.

Integrated NVIDIA Clara open source AI modelsto bring advanced medical imaging AI into clinical workflows.

Transitioned AMD Radeon™ Software: AdrenalinEdition to CMake, improving developer workflowsand long-term maintainability.

Sample workflow for supercomputing environments.

Implemented secure, HPC-ready GitLab CI fornational laboratory supercomputing environments.

Developed AI testing and evaluation toolssupporting responsible AI adoption across theDepartment of Defense.

Developed an interactive research platform withToyota Research Institute to explore andunderstand materials data.

Developed an AI-powered ultrasound with JohnsHopkins to improve newborn heart diseasedetection.

Worked with Geisinger to test patientmanagement systems across diverse patientscenarios.

Engineered digital twin frameworks for the DOEto test and evaluate its complex researchnetworks before real-world deployment.

Integrated open source tools with Looking GlassFactory displays to enhance visualization capabilities.

Developed and maintained a cloud-basedcontinuous integration system for DrakeRobotics to ensure reliable C++ software.

Enabled real-time marine mammal detection forNOAA using edge AI systems.

Strengthened Minecraft’s CMake build system toimprove development speed and reliability.

Collaborated with Johns Hopkins on an ARPA-Hproject to improve tumor removal precisionthrough AI-powered surgical guidance.

Developed annotation tools for the Allen Instituteto map brain samples to 3D reference atlases.

Enabled scalable volumetric X-ray analysis forLawrence Berkeley National Laboratory.

Established benchmarks to evaluate ethicalalignment in autonomous systems for DARPA.

Supported development and FDA clearance oflung ventilation imaging software for Polarean.

Enabled large-scale biomedical discovery for theNIH by extracting structured knowledge from scientific literature with LLMs.

Developed a virtual anatomy suite for ClevelandClinic to annotate and share anatomical data.

Partnered with Stanford to develop a deeplearning algorithm to identify problematic MRIscans for NIH research studies.

Built realistic mechanical ventilation simulationsystems for AFRL clinical training.

Integrated AI/ML into NASA’s aerospacesimulations to reduce compute hours and deliverfaster, more reliable results.

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