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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MuSES achieves unparalleled accuracy in electro-optic and infrared renderings through a systematic process that starts with the identification of heat sources like engines, exhaust systems, bearings, and electronic components, followed by a comprehensive in-band diffuse radiosity solution. After establishing your sensor at a specified range, you can render multi-bounce radiance values that have been spectrally summed, utilizing DeltaT-RSS contrast metrics for detailed analysis. If you have a sensor response curve available, simply import it to uncover insights you may have overlooked. With MuSES, you can explore reality in unprecedented detail. The software’s capability extends to comprehensively address physics from heat sources to environmental influences, enabling you to effectively manage thermal signature contrasts and assess control kits essential for low observable design in any geographical context. You can rigorously evaluate heat shields, cooling methods, and camouflage surface treatments for in-band radiance while accounting for atmospheric attenuation along the sensor’s line-of-sight. By prioritizing engineering tasks with MuSES early in your project development cycle, you empower your team to make informed decisions that enhance overall design effectiveness. This foresight can significantly streamline the development process and improve project outcomes.

Description

We have developed MuseNet, an advanced deep neural network capable of producing 4-minute musical pieces featuring 10 distinct instruments, while seamlessly merging genres ranging from country to the classical compositions of Mozart and even the iconic sounds of the Beatles. Rather than being programmed with musical knowledge, MuseNet identifies and learns patterns of harmony, rhythm, and style through the process of predicting the subsequent token in a vast collection of MIDI files. This innovative model employs the same unsupervised technology as GPT-2, a robust transformer model designed to anticipate the next token in a sequence, whether it pertains to audio or text. Thanks to MuseNet's understanding of diverse musical styles, we are able to create unique blends of musical generations. We eagerly anticipate the creative ways in which both musicians and those without formal training will leverage MuseNet to craft original compositions! Users can select a composer or style and optionally begin with a well-known piece, allowing them to delve into the rich array of musical styles that the model can produce. This opens up exciting possibilities for artistic exploration and experimentation.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure No 
OpenAI No 

Integrations

Microsoft Azure Yes 
OpenAI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ThermoAnalytics

Founded

1996

Country

United States

Website

www.thermoanalytics.com/muses

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/blog/musenet/

Product Features

Simulation

1D Simulation No 
3D Modeling No 
3D Simulation No 
Agent-Based Modeling No 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database No 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools No 
Stochastic Modeling No 
Turbulence Modeling No 

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