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Ansys and NVIDIA unveiled a new technology framework enabling customers to design tailored solutions using the power of AI, advanced simulation, and physically-based visualization. Converging Ansys and NVIDIA open-source technologies narrows the gap between simulation and reality by enabling customized workflows, fostering collaboration, and making simulation more accessible to non-experts. Ansys applied this framework to demonstrate how it can empower clinicians to quickly analyze human heart anatomies in extreme detail — equipping them with deeper insights to make more informed decisions. The companies will jointly demonstrate this research at NVIDIA GTC in San Jose, CA March 18-21.  PyAnsys is a collection of open-source Python libraries that bridge Ansys tools and the Python scripting language, making it easier to run simulations, modify geometries, and process results automatically. NVIDIA NIM — a set of inference microservices for developers to easily deploy AI models — enables Ansys users to connect with large language models (LLMs), in this

Revolution in Simulation (Rev-Sim) announces an upcoming webinar, "Leveraging AI/ML to Augment State-of-the-Art Design and Simulation," on April 3, 2024, at 11 AM ET. Justin Hodges, AI/ML Technical Specialist at Siemens Digital Industries Software, will explore the transformative role of artificial intelligence (AI) and machine learning (ML) in engineering design and simulation. Attendees will gain insights into how AI-driven technologies enhance efficiency, optimize workflows, and accelerate innovation across industries. Engineers, designers, and simulation professionals are encouraged to attend this expert-led discussion to stay ahead of the curve in the rapidly evolving AI/ML landscape. For more details and to register, visit this page or go to rev-sim.org. Search for Revolution in Simulation on CIMdata.com

Capgemini announced the introduction of customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. Capgemini will deliver end-to-end AI services tailored to meet the diverse needs of specific industries when implementing AI agents, from healthcare and financial services to manufacturing and telco. By leveraging the power of NVIDIA NIM and a dedicated agentic gallery, Capgemini will be able to streamline deployment and reduce complexity for enterprise clients looking to derive actionable insights to achieve agentic-driven business transformation.   With the combination of Capgemini’s deep industry expertise and NVIDIA’s state-of-the-art technology, enterprises will benefit from faster time-to-value and agile implementation of AI agents. Built on NVIDIA AI Enterprise with NVIDIA NIM™, Capgemini offers a simplified, high-performance deployment process, enabling clients to seamlessly and securely integrate agentic capabilities into their existing technology infrastructure.  Enterprises will gain access to a dedicated agentic gallery, eliminating the complexities of developing AI agents from the ground up for each business

ENCY 1.1 delivers significant enhancements, notably the ability to precisely position text using custom coordinate systems, streamlined machining workflows, and expanded operational capabilities including lathe machining for robots. Improved Text Placement Previously, when using the “Text” option, markings were created by default within the current Local Coordinate System (LCS). Update 1.1 introduces the capability to select a custom coordinate system for text placement. Users can now create an LCS directly on a specific part face, ensuring precise and immediate placement of text markings. Once created, the text position is remembered, eliminating the need to readjust it if the LCS parameters change. Enhanced Usability and Convenience Lathe Operations for Robots: Lathe operations are now available for robots, expanding machining capabilities and flexibility. Separate Stocks in Hole Machining: Radial and axial stocks are now managed separately in hole machining operations. The radial stock is specifically available for Pocketing and Helical machining strategies. Extended Capabilities for 6D Contour Operation: Users can now define top

EON Reality, the world leader in AI-assisted Virtual Reality and Augmented Reality-based knowledge transfer for industry and education, proudly announces the launch of its groundbreaking EON Exploratory Simulator, designed to enhance active learning and problem-solving through innovative Extended Reality (XR) experiences. Why Choose the EON Exploratory Simulator? Traditional education methods often fail to fully engage students or effectively convey knowledge. The EON Exploratory Simulator addresses these shortcomings by: Increasing Engagement: Missions captivate learners with interactive, narrative-driven scenarios. Promoting Active Exploration: Learners actively participate in discovering information, reinforcing knowledge through hands-on interaction. Contextualizing Knowledge: Realistic, immersive scenarios make theoretical knowledge practically relevant. Adaptive Feedback: Immediate and context-sensitive feedback boosts retention and comprehension. How Does it Work? Each immersive mission in the EON Exploratory Simulator follows a structured framework: Mission Briefing: Users receive a clear understanding of their role, objectives, and mission background. Interactive Discovery: Users actively engage with immersive environments, solving challenges by exploring and interacting. Adaptive Feedback: Users receive instant hints and guidance based on their choices. Sample Scenarios with Interactive Dialogue: Scientific

Keysight Technologies, Inc. announces the launch of Photonic Designer, an innovative photonic design automation (PDA) software solution engineered to provide unparalleled accuracy and compliance-driven design validation. Designed for photonics design engineers, this solution enables streamlined workflows from concept to simulation, emulation, and manufacturing, addressing the challenges of fragmented tools, inconsistent simulation precision, and increasing compliance demands.  Photonics design engineers often face challenges with scattered tool chains and simulation discrepancies that hinder efficiency and precision. Traditional workflows require engineers to switch between multiple software platforms, making it challenging to ensure design consistency. Keysight’s Photonic Designer, part of the Advanced Design System (ADS) suite of tools, eliminates these inefficiencies by offering a comprehensive, physics-driven simulation environment that accurately predicts real-world circuit performance. Keysight tools also support an open, interoperable workflow ecosystem for maximum flexibility. Photonic Designer integrates real-world measurement data directly into the simulation workflow, to optimize models and streamline compliance and validation. This allows engineers

Neural Concept, the leading AI platform for engineering design, will demonstrate its copilots for multi-physics simulation and product development at NVIDIA GTC (March 18-21). Now fully integrated with the NVIDIA Omniverse Blueprint for real-time digital twins and NVIDIA’s latest GPU hardware, the Neural Concept platform is trusted by over 70 Original Equipment Manufacturers (OEMs) and Tier 1 engineering teams to accelerate product development by up to 75%. For decades, OEMs in automotive, aerospace and microelectronics have relied on Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) tools to enhance product development. Traditional engineering processes are characterized by innovation by ‘trial and error’ which results in prolonged, costly development cycles and suboptimal product performance. By embedding Neural Concept's AI-based engineering copilots within the design and simulation environment, Neural Concept shifts engineering processes from intuition-driven to knowledge-driven, accelerating time-to-market, reducing costs, and enhancing cross-functional collaboration to create sustained competitive advantages. By using Neural Concept’s Engineering AI platform, now integrated

Qualtrics, the leader and creator of the experience management (XM) category, launched Qualtrics Edge™, a powerful new market intelligence platform combining advanced AI, synthetic insights, market research data, and expert advisory services that allow organizations to accelerate strategic decision-making and attract and retain customers. Qualtrics Edge gives organizations unprecedented visibility into business trends, customer needs, and strategic opportunities through access to millions of trusted consumer insights, market trends, and industry benchmarks – all delivered in a fraction of the time and cost of traditional programs.  With powerful synthetic AI capabilities in Edge Audiences™ and access to a broad range of business and market Edge Instant Insights™ – backed by Qualtrics’ own decades of proprietary research, consumer and competitive benchmarks from Qualtrics partners, and the world’s largest database of experience data – Qualtrics Edge allows companies to undertake customer, employee, and market research at unprecedented speed and scale. “To remain competitive and relevant today, organizations can no longer

Siemens announces an extended collaboration with Microsoft in the context of Siemens Xcelerator, Siemens’ open digital business platform, to simplify the integration of information technology (IT) and operational technology (OT) for enterprise customers. By combining Siemens Industrial Edge with Microsoft Azure IoT Operations, customers will benefit from complementary solutions that enable a seamless flow of data from production lines to the edge and to the cloud. This edge-to-cloud data integration enables AI- and digital-twin-powered solutions to improve machine performance, product quality, and reduce machine maintenance. Siemens Industrial Edge integrates with Azure IoT Operations, part of Microsoft Azure’s adaptive cloud approach In the past, industrial companies have managed data and workloads in separated IT and OT environments. Today, making manufacturing more adaptive calls for OT and IT to converge. Edge computing plays a pivotal role by bridging the gap between shopfloor and cloud, allowing data to be captured and processed directly at the

SimScale, the leader in cloud-native engineering simulation, announces the launch of the world’s first foundation AI model for turbomachinery simulation. Built with NVIDIA PhysicsNeMo™ and seamlessly integrated into SimScale’s cloud platform with NVIDIA Blueprint™, the model reinforces SimScale’s commitment to bringing Physics AI, Engineering AI, and cloud-native simulation into one platform. The combination of SimScale’s cloud simulation architecture, AI surrogate models, NVIDIA Warp and NVIDIA Omniverse for interactive visualization, and cutting edge NVIDIA Blackwell hardware allows engineers to discover optimal pump designs in seconds instead of days—revolutionizing simulation-driven engineering. Unlocking a New Era of Engineering Innovation This physics-informed AI model, trained on thousands of validated simulations, enables engineers to: ✅ Optimize pump designs instantly – explore thousands of design points in real-time, speeding simulation runs by ~2700x using AI surrogate models developed using PhysicsNeMo. ✅ Reduce computational costs – eliminate reliance on costly on-premises simulation tools. ✅ Enhance accuracy & efficiency – AI-powered results that match traditional CFD fidelity. ✅ Scale globally via the cloud – accessible to engineers everywhere, from startups