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The 21st century has witnessed remarkable advances in computational and experimental sciences, with processing power expanding from terascale to exascale—a million-fold increase in capability—and experimental devices achieving unprecedented scales of data collection. Visualization technologies have kept pace, as modern GPUs now enable the analysis and rendering of complex datasets that were once out of reach. At the same time, artificial intelligence has disruptively reshaped research by not only augmenting existing methods but also transforming the problems we can address and the ways we solve them. Scientific and engineering work now depends on the integration of experiments, large-scale computation, and AI, involving diverse participants from domain experts to decision-makers. Yet, traditional tools such as documents, charts, spreadsheets, and static visualizations are no longer sufficient to support collaboration.

The 3D Slicer developer community is excited to announce the release of 3D Slicer 5.10, now available for download. This catch-up release represents a major step forward as the project prepares for the upcoming Slicer 6.0 milestone. Version 5.10 brings an extensive collection of improvements, bug fixes, infrastructure upgrades, and new capabilities across the platform, ensuring a stable, powerful foundation for both users and extension developers.

We are proud to announce that our RSNA 2025 educational exhibit “Creating Custom Applications Based on 3D Slicer” is now available for viewing at the On Demand RSNA platform, as well as in Kitware’s distribution channels.

We are pleased to announce the release of ITK 5.4.5! ITK 5.4.5 is maintenance release focused on critical bug fixes, improved documentation, and platform support, while introducing AI agent onboarding to assist in project maintenance tasks 🤖. This is the latest maintenance update for this cross-platform, open-source toolkit supporting N-dimensional scientific image analysis with spatially-aware algorithms. […]

CMake 4.2.0 available for download

Introducing trame Slicer, a python library to build web applications by leveraging 3D Slicer medical imaging capabilities

CMake 4.1.3 available for download

CMake 4.0.5 available for download

CMake 3.31.10 available for download

The fourth CMake 4.2 release candidate!

The third CMake 4.2 release candidate!

High-performance simulations generate massive datasets—but extracting insight from that data shouldn’t be a bottleneck. ParaView Catalyst integrates analysis and visualization directly into the simulation workflow, delivering in situ processing that eliminates the need for slow, storage-heavy post-processing. The result? You get immediate feedback, streamlined workflows, and new opportunities to steer simulations on the fly. Built […]

In today’s era of high-performance computing (HPC), organizations are generating data faster than ever before. Simulations that once took months can now be completed within weeks or even days on exascale systems. But there’s a problem: the process of turning that massive data into insight still lags behind.

The second CMake 4.2 release candidate!

Biomedical research today is generating increasingly vast and complex datasets along with an explosion of scientific literature that is overwhelming scientists’ ability to keep up. For example, PubMed is a free-to-access flagship scientific literature database maintained by NIH that has been growing exponentially for over 50 years (exceeding one million new publications per year over […]

Water as a Critical Resource for Energy Water is often overlooked as the hidden fuel for electricity generation. Hydropower (see Figure 1)  relies directly on river flows, but fossil fuel and nuclear facilities also consume large volumes of water for cooling and operations. Shortages or warmer stream temperatures can restrict production, and these challenges are […]

Each year, Supercomputing (SC) brings together the world’s leaders in high-performance computing to share groundbreaking advances in hardware, software, and scientific innovation. Kitware is proud to return as a long-time exhibitor, showcasing how interactive visual workflows are redefining what’s possible in HPC, AI, and large-scale simulation.

High-resolution simulations are producing massive datasets, but traditional post-processing pipelines struggle to keep up. Writing full timesteps to disk introduces significant I/O bottlenecks, and reducing output frequency compromises temporal fidelity and analysis resolution. Researchers need smarter, faster ways to analyze data while simulations are running.