NVIDIA Modulus Alternatives

Ansys Motor-CAD is a dedicated electric machine design tool for fast multiphysics simulation across the full torque-speed operating range. Motor-CAD enables design engineers to evaluate motor topologies and concepts across the full operating range, to produce designs that are optimized for performance, efficiency and size. Motor-CAD software’s four integrated modules—EMag, Therm, Lab, Mech—enable multiphysics calculations to be performed quickly and iteratively, so users can get from concept to final design in less time. Fast calculations and streamlined data input processes leave time for Motor-CAD users to explore more motor topologies and fully assess the impact of advanced loss effects in the initial stages of an electromechanical design. The release includes powerful new features for design optimization, multi-physics analysis and system modelling for electric motors. Fast multiphysics simulation across a full torque-speed operating range.

Subject your designs to real world conditions to raise product quality while reducing prototyping and physical testing costs. SOLIDWORKS® Simulation is an easy-to-use portfolio of structural analysis tools that use Finite Element Analysis (FEA) to predict a product’s real-world physical behavior by virtually testing CAD models. The portfolio provides linear, non-linear static and dynamic analysis capabilities. SOLIDWORKS Simulation Professional enables you to optimize your design, determine product mechanical resistance, product durability, topology, natural frequencies, and test heat transfer and buckling instabilities. It can also perform sequential multi-physics simulations. SOLIDWORKS Simulation Premium lets you efficiently evaluate your designs for nonlinear and dynamic response, dynamic loading, and composite materials. SOLIDWORKS Simulation Premium includes three advanced studies: Non-Linear Static, Non-Linear Dynamic, and Linear Dynamics.

Seamlessly integrate COMSOL Multiphysics® with MATLAB® to extend your modeling with scripting programming in the MATLAB environment. LiveLink™ for MATLAB® allows you to utilize the full power of MATLAB and its toolboxes in preprocessing, model manipulation, and postprocessing. Enhance your in-house MATLAB code with powerful multiphysics simulations. Base your geometry modeling on probabilistic or image data. Use multiphysics models together with Monte Carlo simulations and genetic algorithms. Export COMSOL models on state-space matrix format for incorporating into control systems. Interface in the COMSOL Desktop® environment enables the use of MATLAB® functions while modeling. Manipulate your models from the command line or script to parameterize the geometry, physics, or the solution scheme.

The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'

samadii/em ( electromagnetic simulation software) analyzes the electromagnetic field in 3d space using the Maxwell equation and using the FEM method. samadii/em (Electromagnetics Simulation) provides a multi-physics approach and high-performance electromagnetics simulation, with Samadii you can quickly address problems from semiconductors and displays to wireless communications, etc. With samadii/em you can analyze problems in electrostatic fields, transient electromagnetics, AC electromagnetic fields, magnetostatics as well as induction electronics, including the low-frequency and high-frequency ranges.

Simulate real-world designs, devices, and processes with multiphysics software from COMSOL. General-purpose simulation software based on advanced numerical methods. Fully coupled multiphysics and single-physics modeling capabilities. Complete modeling workflow, from geometry to postprocessing. User-friendly tools for building and deploying simulation apps. The COMSOL Multiphysics® software brings a user interface and experience that is always the same, regardless of engineering application and physics phenomena. Add-on modules provide specialized functionality for electromagnetics, structural mechanics, acoustics, fluid flow, heat transfer, and chemical engineering. Choose from a list of LiveLink™ products to interface directly with CAD and other third-party software. Deploy simulation applications with COMSOL Compiler™ and COMSOL Server™. Create physics-based models and simulation applications with this software platform.

In markets where the safety of welded assemblies is essential, analysis with TRANSWELD® offers a global and innovative solution to anticipate welding defects. Our simulation software integrates multi-physical models to simulate the real behavior of the metal in the liquid/mushy state to perform a complete analysis of the material evolution. TRANSWELD® also makes it possible to study the microstructure of the solid-state assembly. Then, you ensure the conformity of your welded part without going through the prototyping stage. Our software is 100% predictive. It allows you to observe your welding processes numerically by applying real conditions. For example, you can visualize the heat source movement during the simulation of laser welding or arc welding.

Accelerate engineering with the industry's only intuitive, comprehensive CFD platform for multidisciplinary design and optimization. Computational fluid dynamics (CFD) is an aspect of multiphysics system analysis that simulates the behavior of fluids and their thermodynamic properties using numerical models. Engineers use the Cadence Fidelity CFD platform design processes, such as propulsion, aerodynamics, hydrodynamics, and combustion, to improve and increase the efficiency of products by reducing time-consuming and expensive physical testing. Fidelity CFD platform provides an easy-to-use end-to-end CFD solution for multidisciplinary design and optimization, in applications such as aerospace, automotive, turbomachinery, and marine industries. The platform, with its streamlined workflows, massively parallel architecture, and state-of-the-art solver technology, provides unprecedented performance and accuracy and increases engineering efficiency for today’s design challenges.

Optimize product designs and reduce time to market with FLOW-3D, a highly-accurate CFD software that specializes in solving transient, free-surface problems. FLOW-3D‘s complete multiphysics suite includes our state-of-the-art postprocessor, FlowSight. FLOW-3D provides a complete and versatile CFD simulation platform for engineers investigating the dynamic behavior of liquids and gas in a wide range of industrial applications and physical processes. FLOW-3D focuses on free surface and multi-phase applications, serving a broad range of industries including microfluidics, bio-medical devices, water civil infrastructure, aerospace, consumer products, additive manufacturing, inkjet printing, laser welding, automotive, offshore, energy and automotive. A uniquely powerful, multiphysics tool, FLOW-3D provides the functionality, ease-of-use and power that helps engineers advance their modeling objectives.

SwiftComp is a revolutionary multiscale, multiphysics composite simulation code that quickly and easily delivers the accuracy of 3D FEA at the efficiency of simple engineering models. In doing so, SwiftComp reduces barriers for engineers by enabling them to model composites as easily as metals using conventional structural elements in their FEA codes (without losing accuracy while capturing all the microstructural details). SwiftComp provides unified modeling for 1D (beams), 2D (plates/shells), or 3D structures, calculating all the effective properties. Use SwiftComp either independently for virtual testing of composites or as a plug-in to power your conventional structural tools with high-fidelity composites modeling. SwiftComp can compute the best structural model for use in macroscopic structural analysis, as well as perform dehomogenization to compute the pointwise stresses in the microstructure. SwiftComp directly interfaces with ABAQUS, ANSYS.

Based on computational physics, Energy2D is an interactive multiphysics simulation program that models all three modes of heat transfer, conduction, convection, and radiation, and their coupling with particle dynamics. Energy2D runs quickly on most computers and eliminates the switches among preprocessors, solvers, and postprocessors typically needed to perform computational fluid dynamics simulations. It allows you to design "computational experiments" to test a scientific hypothesis or solve an engineering problem without resorting to complex mathematics. Work is also underway to incorporate other types of energy transformations and support multiple types of fluids. The conduction part of Energy2D is highly accurate, but the convection and radiation parts are not 100% accurate. Hence, in cases that involve convection and radiation, Energy2D results should be considered qualitative. More than 40 scientific papers have used Energy2D as a research tool.

From digital twins for virtual commissioning to system-level models for complex engineering design projects, MapleSim is an advanced modeling tool that helps you reduce development time, lower costs, and diagnose real-world performance issues. Remove vibrations with better control code, not hardware upgrades. Diagnose root-cause performance issues with detailed simulation results. Validate new design performance before physical prototyping. MapleSim is an advanced system-level modeling and simulation tool that applies modern techniques to dramatically reduce model development time, provide greater insight into system behavior, and produce fast, high-fidelity simulations. Scale and connect as the needs of your simulations grow more complex. Take your designs further with our flexible modeling language. Combine components across different domains in a virtual prototype. Solve tough machine performance problems.

Geminus unleashes the power of predictive intelligence by intersecting AI and physics with multi-fidelity modeling. Our novel, first-principles AI translates the constraints of the physical world inside resilient predictive models. The Geminus platform leverages sparse data to quickly analyze the behavior of complex industrial systems, and precisely predict the impact of decisions that drive your business forward. The Geminus multi-fidelity approach fuses models with data, which enables you to create highly accurate surrogates over 1,000x faster than simulation. Only Geminus accurately quantifies model uncertainty, so you can be confident in your predictions and the decisions they inspire. Geminus compresses model creation time from months to hours requiring far fewer data and computes resources than traditional AI, or simulation methods. Models built on Geminus are infused with an understanding of the known behavior of real-world systems.

Adaptive Research is pleased to announce the immediate release of the CAESIM 2024 simulation platform, providing advanced computational fluid dynamics modeling with multi-physics capabilities. The new software release provides new tools and capabilities that optimize the modeling process and provide the CFD engineer with fast simulation solutions.

Metariver Technology Co., Ltd. is developing innovative and creative computer-aided engineering (CAE) analysis S/W based on the latest HPC technology and S/W technology including CUDA technology. We will change the paradigm of CAE technology by applying particle-based CAE technology and high-speed computation technology using GPUs to CAE analysis software. Here is an introduction to our products. 1. Samadii-DEM (the discrete element method): works with the discrete element method and solid particles. 2. Samadii-SCIV (Statistical Contact In Vacuum): working with high vacuum system gas-flow simulation. Using Monte Carlo simulation. 3. Samadii-EM (Electromagnetics): For full-field interpretation 4. Samadii-Plasma: Plasma simulation for Analysis of ion and electron behavior in an electromagnetic field. 5. Vampire (Virtual Additive Manufacturing System): Specializes in transient heat transfer analysis. additive manufacturing and 3D printing simulation software

Defining the state-of-the-art, DigitalClone for Additive Manufacturing (DC-AM) integrates a suite of metal additive manufacturing modeling and simulation capabilities for comprehensive design and analysis support with seamless interoperability. DC-AM implements a multiscale, multi-physics analysis approach linking the process - microstructure - fatigue relationship of additively manufactured parts to enable computational assessment of quality and performance. DC-AM promotes adoption of AM in safety-critical industries by providing unprecedented insight into the relationship between build conditions and the characteristics of the final part while enabling reduction in time and cost required to qualify parts and processes.

OnScale is the first Cloud Engineering Simulation platform. It combines powerful multiphysics solver technology with the limitless compute power of cloud supercomputers. With OnScale, engineers can run massive numbers of full 3D multiphysics simulations in parallel to create true Digital Prototypes digital representations of physical high-tech devices that capture the complete behavior of a device over its operating envelope. With OnScale Solve we want to provide you with an awesome Cloud Engineering Simulation experience that’s easy, powerful, and gets the job done. OnScale Solve is built to run on public and private cloud supercomputers and includes a functional web-based UI, an API to efficiently integrate into any design workflow, scripting languages to fully customize engineering simulations, and plugins to enhance its modeling capabilities. OnScale Solve gives engineers the simulation capability necessary to synthetically generate data to train sophisticated AI/ML algorithms.

VSim is the Multiphysics Simulation Software used by design engineers and research scientists who require precise solutions for challenging problems. VSim’s unique combination of Finite-Difference Time-Domain (FDTD), Particle-in-Cell (PIC), and Charged Fluid (Finite Volume) methods deliver accurate results for a variety of situations, including plasma modeling. As a parallel software application, VSim can efficiently handle problems at scale, and simulations run quickly using algorithms designed for high-performance computing systems. Trusted by researchers in 30 countries, and used by engineers in industries from aerospace to semiconductor manufacturing, With documented accuracy, VSim provides results that users can trust. Created by a team of computational scientists, Tech-X’s code has been cited thousands of times in the scientific literature, and VSim can be found at many of the world’s top research institutions.

FEATool Multiphysics - "Physics Simulation Made Easy" - a fully integrated physics, CAE, and PDE simulation toolbox

By leveraging our unique, inherently transient Lattice Boltzmann-based physics PowerFLOW CFD solution performs simulations that accurately predict real world conditions. Using the PowerFLOW suite, engineers evaluate product performance early in the design process prior to any prototype being built — when the impact of change is most significant for design and budgets. PowerFLOW imports fully complex model geometry and accurately and efficiently performs aerodynamic, aeroacoustic and thermal management simulations. Automated domain discretization and turbulence modeling with wall treatment eliminates the need for manual volume meshing and boundary layer meshing. Confidently run PowerFLOW simulations using large number of compute cores on common High Performance Computing (HPC) platforms.

Simcenter STAR-CCM+ is a multiphysics computational fluid dynamics (CFD) software for the simulation of products operating under real-world conditions. Simcenter STAR-CCM+ uniquely brings automated design exploration and optimization to the CFD simulation toolkit of every engineer. The single integrated environment includes everything from CAD, automated meshing, multiphysics CFD, sophisticated postprocessing, and design exploration. This allows engineers to efficiently explore the entire design space to make better design decisions faster. The additional insight gained by using Simcenter STAR-CCM+ to guide your design process ultimately leads to more innovative products that exceed customer expectations. Significantly improving a battery design across its whole operating range is a challenging task, and involves the simultaneous optimization of numerous parameters. Simcenter provides a complete simulation environment for the analysis and design of the electrochemical system.

The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications.

Ansys SPEOS predicts the illumination and optical performance of systems to save on prototyping time and costs while improving your product’s efficiency. Ansys SPEOS delivers an intuitive and comprehensive user interface, enhanced productivity with use of GPUs for simulation previews and easy access to the Ansys multiphysics ecosystem. SPEOS has been assessed by the International Commission on Illumination (CIE) against CIE 171:2006 test cases, assessing the accuracy of light modeling software and showing the performance benefits of Ansys SPEOS. Turn on the light in your virtual model and intuitively explore the propagation of light in 3D. The SPEOS Live preview function features simulation and rendering capabilities so you can design products interactively. Cut iteration time and speed up your decision-making process by performing simulations correctly the first time, automatically designing for optical surfaces, light guides and optical lenses.

NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pre-trained models with custom data through a UI-based, guided workflow, enterprises can produce highly accurate models in hours rather than months, eliminating the need for large training runs and deep AI expertise. Looking to get started with containers and models on NGC? This is the place to start. Private Registries from NGC allow you to secure, manage, and deploy your own assets to accelerate your journey to AI.

DeepCube focuses on the research and development of deep learning technologies that result in improved real-world deployment of AI systems. The company’s numerous patented innovations include methods for faster and more accurate training of deep learning models and drastically improved inference performance. DeepCube’s proprietary framework can be deployed on top of any existing hardware in both datacenters and edge devices, resulting in over 10x speed improvement and memory reduction. DeepCube provides the only technology that allows efficient deployment of deep learning models on intelligent edge devices. After the deep learning training phase, the resulting model typically requires huge amounts of processing and consumes lots of memory. Due to the significant amount of memory and processing requirements, today’s deep learning deployments are limited mostly to the cloud.

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging.

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.

The Akselos Cloud platform delivers a complete Digital Twin framework via the cloud. It provides an end-to-end solution covering automated updates of asset loads and condition, through to clear dashboards showing current asset integrity. No more limitations, Akselos technology enables you to model the most complex problems in structures of any size, and in full detail. Our approach runs structural simulations a 1000x faster than legacy software. Design and operational workflows that used to take months can now be done in hours. Any relevant data, such as sensors and process parameters, can be directly connected to our models, allowing you to optimize your asset even further. All of our simulations will validate results against the applicable engineering code/standards, so that you can feel confident you asset is safe and meets all the relevant requirements.

Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP.

We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at the edge by optimizing for compute, energy and memory without requiring changes to existing AI/ML infrastructure and frameworks. LEIP is a modular, fully-integrated workflow designed to train, quantize, adapt and deploy edge AI neural networks. LEIP is a modular, fully-integrated workflow designed to train, quantize and deploy edge AI neural networks. Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns

We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

EMWorks provides best-in-class electromagnetic simulation software for electrical and electronics design with multiphysics capabilities. The company’s products are fully and seamlessly embedded in SOLIDWORKS and Autodesk Inventor®. Applications include electromechanical and power electronics, antennas, RF and microwave components, and power and signal integrity of high-speed interconnects. EMS is an electromagnetic field simulation software for designing and optimizing electromagnetic and electromechanical devices such as transformers, electric motors, actuators, and sensors inside SOLIDWORKS® and Autodesk® Inventor®. EMWorks2D is a 2D electromagnetic simulation software for 2D planar and axis-symmetric geometries and it is completely embedded inside SOLIDWORKS. This product enables users to do quick simulations before migrating to 3D and helps in rapid product development.

NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.

Mesh influences the accuracy, convergence and speed of a simulation. Ansys provides tools to produce the most appropriate mesh for accurate, efficient solutions. Ansys provides general purpose, high-performance, automated, intelligent meshing software that produces the most appropriate mesh for accurate, efficient multiphysics solutions — from easy, automatic meshing to highly crafted mesh. Smart defaults are built into the software to make meshing a painless and intuitive task, delivering the required resolution to capture solution gradients properly for dependable results. Ansys meshing solutions range from easy, automated meshing to highly crafted meshing. Methods available cover the meshing spectrum of high-order to linear elements and fast tetrahedral and polyhedral to high-quality hexahedral and mosaic. Ansys meshing capabilities help reduce the amount of time and effort spent to get to accurate results.

Ansys Totem-SC is the proven, trusted industry leader for power noise and reliability signoff for analog and mixed-signal designs built on cloud-native elastic compute infrastructure. Ansys Totem-SC is the industry’s trusted gold standard voltage drop and electromigration multiphysics sign-off solution for transistor-level and mixed-signal designs. With a track record of thousands of tapeouts, Totem-SC’s cloud-based architecture gives it the speed and capacity to handle full-chip analysis. Signoff accuracy is certified by all major foundries for all finFET nodes down to 3nm. Ansys Totem-SC is a transistor-level power noise and reliability analysis platform for analog mixed-signal IP and fully custom designs. It creates IP models for SOC-level power integrity signoff with RedHawk-SC and generates compact chip models of power delivery networks for the chip and system-level. Industry-proven and foundry-certified analog and mixed-signal EM/IR solution.

Kombyne™ is an innovative new SaaS high-performance computing (HPC) workflow tool, initially developed for customers in the defense, automotive, and aerospace industries and academic research. It allows users to subscribe to a range of workflow solutions for HPC CFD jobs, from on-the-fly extract generation and rendering to simulation steering. Interactive monitoring and control are also available, all with minimal simulation disruption and no reliance on VTK. The need for large files is eliminated via extract workflows and real-time visualization. An in-transit workflow uses a separate process that quickly receives data from the solver code and performs visualization and analysis without interfering with the running solver. This process, called an endpoint, can directly output extracts, cutting planes or point samples for data science and can render images as well. The Endpoint can also act as a bridge to popular visualization codes.

Geminai is YN3D’s platform for delivering the most photorealistic Digital Twin that improves how all stakeholders operate, manage and service physical assets. Through visualizing the physical asset via reality models and connecting an asset’s information, Geminai enables users to centralize, visualize and share information in the most realistic and ‘true’ visual environment possible. Delivering a Digital Twin of your Assets via a True photorealistic representation offers the best insights available that will boost productivity and safety, reduce costs over the asset's lifecycle and allow all stakeholders to make more informed decisions when necessary. Remove interpretation errors and improve stakeholder collaboration by viewing assets with the highest-fidelity 3D models and not solely through 2D documents.

Bring A.I. into the heart of S&OP processes to boost overall company performance while making the most of existing ERP systems and scarce human resources. PlanningForce’s Decision Intelligence layer helps you to make the most of human expertise, modeling, databases and A.I. to optimize complex and non-linear decision-making processes. By combining four cornerstones: human experience, modeling, databases and artificial intelligence, PlanningForce provides a layer of Decision Intelligence that helps managers to steer their decision-making with incredible speed and precision. The results obtained by this layer of Decision Intelligence are so powerful – and insightful – that Decision-Makers feel in control of processes that have become increasingly complex and interdependent over time. Decision-Makers can easily juggle the multiple factors at play in non-linear decision-making processes simultaneously, thanks to the simulation capabilities of the system.

Apply advanced analytics and machine learning to reduce operational costs and risks. Digital twins are a key piece of the digital transformation puzzle. They create an accurate virtual replica of physical objects, assets, and systems to boost productivity, streamline operations and increase profits. Digital Twin is most commonly defined as a software representation of a physical asset, system or process designed to detect, prevent, predict, and optimize through real time analytics to deliver business value. At GE Digital, we are focused on how digital twin software can help our customers across three core areas: Asset, Network, and Process. Monitor, simulate and control an asset, process or network as an effective strategy to improve system performance. Protect the health and safety of employees, the environment, and business objectives, by reducing asset- and process-related incidents and avoiding unplanned downtime.

Developed for companies who build large and complex scale prototypes where the goal is to reduce the number or variations of prototypes produced. smartAR™ augments a digital twin over top a live camera feed of a real world, physical object, maintaining scale, placement and position of the CAD model relative to the object. A tablet is used to view the digital twin but the tablet’s position and orientation is monitored by an external motion tracking system. Tracking the tablet enables very high precision when overlaying a digital twin on a real world object. As the user moves around the physical object, virtual images on the tablet remain fixed relative to the object. Virtual data can be ‘snapped to position’ on the real world object with accuracy better than 3 millimeters in most stationary views. Mechdyne’s TGX software is used to access high resolution CAD data from a central workstation/servers to minimize latency on the tablet.

It can be challenging when the data you need for digital twins is in incompatible formats and different data sources from different vendors. It really shouldn't be that hard to create, visualize and analyze digital twins. Like you, we are engineers who are passionate about solving problems, and our software has helped solve some of the most complex engineering challenges in infrastructure. Combine engineering data, reality data, and IoT data. Create an immersive experience in 3D / 4D. Gain a deeper understanding of infrastructure assets. Unlock the value of digital data and make a difference. Provide the digital capabilities that drive business success. A digital twin is a digital representation of a physical asset, process or system, which allows us to understand and model its performance. Digital twins are continuously updated with data from multiple sources – which is what makes them different from static, 3D models.

If buildings had a ‘brain’, monitoring their systems and responding in real time, how much more secure, comfortable and efficient could they become? We are answering that question with Neuron, using artificial intelligence to make our buildings, districts and cities healthier, more sustainable places to live and work. Neuron is an app that integrates our insights into the built environment with emerging digital technologies into a single platform. It uses 5G and the Internet of Things to gather real-time ‘sense data’ from equipment and systems. It uses Building Information Modelling (BIM) to display these complex data sets through a cloud-based, centralized management console. Neuron’s ‘brain’ uses artificial intelligence and machine learning to analyze, optimize and automate operations. Digital twins are helping to connect the physical and digital worlds together. Our service, as consultants and technologists, is to develop a twin that connects disparate information sources.

You don’t want to waste time troubleshooting after implementation. Create testing models and put them through their paces in a virtual environment directly within SOLIDWORKS, Autodesk Inventor, or PTC Creo. Make changes quickly and perfect kinetic sequences and timing without wasting hours experimenting on a physical prototype. Combine your mechanical CAD information with real control system logic to create a Dynamic Digital Twin, then view and verify system operation. Once you have built and perfected your twin, use it to train your operators without disrupting your operations so you can remain as profitable as possible. Decrease the time it takes to test incremental changes and Thorough logic sequence and timing verification.

HAULSIM connects the fleet assets, mining operational plans and the people to build a ‘digital twin’ of any mining operation – open pit or underground – to deliver an accurate representation of any mine sites haulage operations. With a 3-D Discrete Event Simulation (DES) engine, at its core, HAULSIM is the only mining simulation software that can quantify the impact of changes as the models reflect the complex and dynamic nature of a mine site in its entirety; including the variability, interactions and dependencies that occur in these systems. Decisions to a mine haulage system can be based on real data giving the user the ability to test multiple ‘why’ and ‘what-if’ scenarios to reduce operating costs through optimised performance, and ensure overall operational safety and efficiency.

Digital transformation unlocks the potential of your assets and empowers you to adopt predictive maintenance (PdM) strategies. With the ability to look ahead, you can prevent costly failures, reduce downtime, and focus on shaping what’s next. Our comprehensive Asset Performance Management (APM) software portfolio is designed to overcome today’s industrial challenges by leveraging industrial big data, Cloud, artificial intelligence, digital twin, and augmented reality. With improved analysis, you’ll eliminate inefficiencies, optimize operations, and improve profitability. A unifying multi-dimensional information model to aggregate data from multiple sources and provide context for use with reporting/ dashboard tools. Improve plant performance in near real-time by enabling rich analytics in your BI tool on industrial data. Connect your people, processes, and technology to rapidly deploy a risk-based asset strategy tied to business objectives.

ThirdAI (pronunciation: /THərd ī/ Third eye) is a cutting-edge Artificial intelligence startup carving scalable and sustainable AI. ThirdAI accelerator builds hash-based processing algorithms for training and inference with neural networks. The technology is a result of 10 years of innovation in finding efficient (beyond tensor) mathematics for deep learning. Our algorithmic innovation has demonstrated how we can make Commodity x86 CPUs 15x or faster than most potent NVIDIA GPUs for training large neural networks. The demonstration has shaken the common knowledge prevailing in the AI community that specialized processors like GPUs are significantly superior to CPUs for training neural networks. Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the “unlocking” of AI training workloads on GPUs that were not previously feasible.

UrsaLeo offers an immersive 3D platform that combines digital twin technology with real-time and historical data from IoT streams, document management, maintenance, and other enterprise systems. UrsaLeo provides a way to add industrial metaverse features to any software platform. Beginning with a digital twin derived from CAD or from a LIDAR/photogrammetry scan and data via an API, UrsaLeo’s Gemini product can be integrated into any SaaS platform using a React framework. Backed by a powerful backend, Gemini’s data translation service collects information from a variety of sources and sends alerts when predetermined thresholds are met. When an alert is triggered, Gemini can zoom or use a virtual camera to bring focus to the source of an incident or problem. Visual reporting brings these failures to life so you can view past events to affect change.

​Honeywell Forge is a powerful analytics software solution that provides real-time data and visual intelligence. Connectivity is based on an extensible platform that is portable for deployment in any cloud or data center environment. It provides an enterprise-wide, top to bottom view, displaying the status of process, assets, people, and safety. ​Honeywell Forge is a persona-based solution that can be tailored to a particular role within the organization. Via digital twins, it uses real-time data to benchmark performance against best practice models, identifying opportunities. Users can drill down from an enterprise view, to site, to units, to determine details around the opportunity, including process and asset details. From there, actionable recommendations can be used to resolve problems and capture the identified benefits.

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.

Easily build, optimize, and deploy fast & accurate models with Deci’s deep learning development platform powered by Neural Architecture Search. Instantly achieve accuracy & runtime performance that outperform SoTA models for any use case and inference hardware. Reach production faster with automated tools. No more endless iterations and dozens of different libraries. Enable new use cases on resource-constrained devices or cut up to 80% of your cloud compute costs. Automatically find accurate & fast architectures tailored for your application, hardware and performance targets with Deci’s NAS based AutoNAC engine. Automatically compile and quantize your models using best-of-breed compilers and quickly evaluate different production settings. Automatically compile and quantize your models using best-of-breed compilers and quickly evaluate different production settings.