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Description
How can you effectively merge various photogrammetry projects into a streamlined and efficient workflow? Is it feasible to enhance production speed without sacrificing the detail and precision that your clients demand or the functionality you rely on? Additionally, how can you manage photogrammetric projects that involve diverse data types and formats? In today's fast-paced environment, professionals in photogrammetry and production mapping face the challenge of increasing output within tighter deadlines, all while ensuring a high level of accuracy. The Geospatial division of Hexagon recognizes this challenge and develops tools designed to help you meet your objectives on schedule, within scope, and with the necessary precision. With IMAGINE Photogrammetry, a comprehensive suite of integrated software tools, you can convert raw images into dependable data layers essential for various applications, such as digital mapping, raster processing, GIS raster analysis, and 3D visualization. By utilizing these tools, you can not only streamline your workflow but also adapt to evolving project demands with greater agility.
Description
On June 23, 2025, Microsoft unveiled Mu, an innovative 330-million-parameter encoder–decoder language model specifically crafted to enhance the agent experience within Windows environments by effectively translating natural language inquiries into function calls for Settings, all processed on-device via NPUs at a remarkable speed of over 100 tokens per second while ensuring impressive accuracy. By leveraging Phi Silica optimizations, Mu’s encoder–decoder design employs a fixed-length latent representation that significantly reduces both computational demands and memory usage, achieving a 47 percent reduction in first-token latency and a decoding speed that is 4.7 times greater on Qualcomm Hexagon NPUs when compared to other decoder-only models. Additionally, the model benefits from hardware-aware tuning techniques, which include a thoughtful 2/3–1/3 split of encoder and decoder parameters, shared weights for input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, allowing for swift inference rates exceeding 200 tokens per second on devices such as the Surface Laptop 7, along with sub-500 ms response times for settings-related queries. This combination of features positions Mu as a groundbreaking advancement in on-device language processing capabilities.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Hexagon Geospatial
Country
United States
Website
www.hexagongeospatial.com/products/power-portfolio/imagine-photogrammetry
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/