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Description
Axiomatic AI represents a cutting-edge artificial intelligence platform that aims to enhance the efficiency of scientific research and engineering processes by merging generative AI with rigorous mathematical validation and physics-oriented reasoning. Central to this platform is the principle of Axiomatic Intelligence, which harmonizes advanced AI models with formal logic and specialized world models to guarantee that the generated outputs are both mathematically sound and physically coherent. In contrast to traditional AI systems that may yield plausible yet unverified responses, Axiomatic AI incorporates robust verification mechanisms to ensure that results are measured against established formal specifications and engineering criteria prior to being presented to users. This innovative methodology enables the platform to effectively assist in high-stakes applications across various fields, including but not limited to photonics, electronics, thermal engineering, mechanics, and signal analysis. As a result, Axiomatic AI stands out as a valuable tool for professionals seeking reliable solutions in complex scientific domains.
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
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
Axiomatic AI
Founded
2024
Country
United States
Website
axiomatic-ai.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/physicsnemo