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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Geminus harnesses the capabilities of predictive intelligence by blending artificial intelligence with physics through innovative multi-fidelity modeling techniques. Our pioneering AI, based on first principles, incorporates the physical limitations of the real world into robust predictive frameworks. The Geminus platform adeptly utilizes limited data to swiftly evaluate the dynamics of intricate industrial systems, enabling precise forecasts regarding the effects of key business decisions. By integrating models and data, Geminus's multi-fidelity strategy allows for the rapid creation of highly accurate surrogates, achieving speeds over 1,000 times faster than conventional simulations. Unique to Geminus is its ability to effectively measure model uncertainty, ensuring that you can trust your predictions and the strategic choices they inform. Additionally, Geminus significantly reduces the time taken to develop models from months to mere hours, while demanding far less data and computational resources compared to traditional AI or simulation approaches. The models generated through Geminus are imbued with insights derived from the actual behaviors of real-world systems, providing a deeper understanding that enhances decision-making. This innovative approach not only streamlines the modeling process but also empowers organizations to adapt swiftly to changing environments.

Description

NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

PyTorch
Python

Integrations

PyTorch
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Geminus

Country

United States

Website

www.geminus.ai/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/physicsnemo

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Product Features

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