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Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care
Children's Hospital of Philadelphia uses NVIDIA open-source MONAI, Warp and Newton to build pediatric heart models in seconds for surgical planning.
CHOP's cardiac modeling service uses MONAI, Auto3DSeg and SlicerHeart to turn CT, MRI and 3D ultrasound images into anatomically precise heart models in seconds instead of four hours of manual work. More than 20 US children's hospitals run similar programs, with Boston Children's supporting roughly 500 cardiac surgery cases a year. NVIDIA's Newton physics engine, built on the Warp Python framework, aims to reduce device simulations from hours to near real time in clinical workflows.
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Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
Hands-on tutorial implements NVIDIA cuML and RAPIDS to GPU-accelerate scikit-learn-style ML workflows with benchmarking, clustering, and inference.
The tutorial demonstrates NVIDIA cuML as a GPU-accelerated machine learning framework, using cuml.accel to speed up unmodified scikit-learn scripts with zero code changes and the native cuML API for CuPy/cuDF interoperability. It benchmarks CPU versus GPU implementations of PCA, K-Means, nearest-neighbor search, logistic regression, random forests, and DBSCAN on datasets up to 200,000 samples with 64 features. It also builds GPU pipelines with UMAP, t-SNE, and HDBSCAN, validates GPU-generated SHAP explanations, uses the FIL library for forest inference, and covers model serialization and GPU/CPU portability.
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Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering
Vision paper proposes 'involving before evolving' staged approach for trustworthy enterprise digital twins, validated via an ongoing Michelin prototype.
The paper presents a three-stage vision for enterprise digital twin (EDT) engineering that prioritizes early organizational buy-in before evolving toward federation and full interoperability. The approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling to build stakeholder trust. The vision is grounded in an ongoing collaboration with Michelin, where an initial working prototype helped secure stakeholder buy-in.
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Gartner: 70% of SOCs will pilot AI agents. Only 15% will see results
Gartner predicts 70% of large SOCs will pilot AI agents by 2028, but only 15% will achieve measurable improvements.
A Gartner report by analysts Craig Lawson and Andrew Davies projects that by 2028, 70% of large SOCs will pilot AI agents for Tier 1 and Tier 2 operations, but only 15% will achieve measurable improvements without structured evaluation. Prophet Security's State of AI in Security Operations 2026 survey found 40% of security teams use AI daily and 56% are evaluating or piloting it. The report offers evaluation questions covering workload reduction, TDIR outcomes, vendor viability, analyst upskilling, and autonomy boundaries to counter AI washing in the market.
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Schneider Electric Easergy, EcoStruxture, PowerLogic, and Saitel Products (Update A)
CISA updated ICSA-26-169-07: CVE-2026-4827 (CVSS 8.3) insufficient entropy enables session hijacking across dozens of Schneider Electric grid products; fixes available.
CISA republished advisory ICSA-26-169-07 (Update A) for CVE-2026-4827, CWE-331 insufficient entropy in session management, scored CVSS 8.3. Affected lines include Easergy MiCOM relays and C5, EcoStruxure Power Automation (EPAS-GTW, EPAS-UI, iPMFLS), EcoStruxure Power Operation, PowerLogic P5/P7/T300/T500, and Saitel DP/T150 RTUs, with dozens of fixed versions listed. Successful exploitation could enable session hijacking and unauthorized operations on systems in energy, chemical, critical manufacturing, and water sectors. Fixes are available; no exploitation is reported.
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Anthropic's new hardware standard lets AI agents control the physical world
Anthropic announced a standardized hardware driver interface letting AI agents control physical devices and for devices to interoperate.
Anthropic introduced a new hardware standard that provides a standardized driver interface for AI agents to control the physical world. The standard aims to let devices communicate with AI systems and with each other. Details on adoption, partners, or specifications were not included in the available text.
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Secure Chorus Standards Etsi
Infosecurity Magazine reports on ETSI's Secure Chorus standards effort for interoperable, encrypted enterprise voice and messaging communications.
The article covers developments around Secure Chorus, an ETSI standards framework intended to enable interoperable, encrypted voice and messaging between different providers and enterprise systems. Standards work of this kind affects how vendors implement secure communications and how enterprises procure interoperable secure telephony. Further details were not available in the provided text.
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