DASSAULT SYSTEMES

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.

Methods and systems for displaying complex data in three-dimensional graphical formats, allowing users to manipulate, explore, and derive insights from the data through interactive controls.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.

Applying computational methods, often involving machine learning and multiomics data, to design, analyze, and understand biomolecules, genetic sequences, or complex biological systems.

Computational methods and systems for analyzing biological data (e.g., genomic, proteomic, clinical) to diagnose diseases, predict patient prognosis, assess treatment response, or stratify patients for therapy.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Systems and methods for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.

Computational techniques and algorithms for processing, aligning, and interpreting raw biological sequence data (DNA, RNA, protein), including identifying genetic variations, classifying organisms, or predicting sequence attributes.

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.