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What is VLAB Works?

For numerous years, developers of embedded devices have relied on simulation as a useful tool. However, the preference has often leaned towards direct hardware interaction due to the simulator's shortcomings in terms of speed, precision, and cost-effectiveness. VLAB Works has transformed the traditional simulation landscape by unveiling Virtualization Based Development, which provides a novel approach to the design and creation of embedded products. With VLAB Tools and an extensive array of Virtual Platforms at your disposal, you can harness advanced techniques and functionalities that have traditionally been reserved for desktop software developers leveraging virtualization, empowering you to develop cutting-edge embedded solutions. Imagine a virtual environment that enables a comprehensive agile workflow, where you can completely define, design, implement, validate, optimize, and support your new embedded product without the need for any physical hardware. This groundbreaking method not only facilitates a fully automated software-driven pathway but also integrates product prototyping, simulation, testing, measurement, and analysis at every phase of development, thereby significantly boosting both efficiency and accuracy. Ultimately, this approach represents a pivotal shift in how embedded product development can be approached in a rapidly evolving technological landscape.

What is AlphaEarth Foundations?

AlphaEarth Foundations, an advanced AI model launched by DeepMind, operates as a "virtual satellite" by integrating a wide array of Earth observation data, including optical and radar imagery, 3D laser mapping, and climate simulations, into a cohesive and compact embedding for every 10x10 meter segment of land and coastal areas. This state-of-the-art method enables rapid, on-demand mapping of global landscapes while significantly minimizing storage needs compared to previous systems. By combining diverse data sources, it effectively tackles the challenges of data overload and inconsistencies, resulting in summaries that are 16 times more compact than those produced by conventional approaches, while also achieving an impressive 24% reduction in errors for various tasks, even when faced with limited labeled data. The embeddings, compiled annually, are released as the Satellite Embedding dataset on Google Earth Engine, and they have already been leveraged by numerous organizations to identify previously uncharted ecosystems and to track agricultural and environmental changes, demonstrating the real-world utility of this innovative technology. Furthermore, this model not only deepens our comprehension of Earth's intricate dynamics but also sets the stage for upcoming improvements in environmental oversight and conservation initiatives, highlighting its transformative potential in the field.

Media

Media

Integrations Supported

AlphaCode
Gemini
Gemini Enterprise
Google Earth Engine

Integrations Supported

AlphaCode
Gemini
Gemini Enterprise
Google Earth Engine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ASTC

Date Founded

2006

Company Location

Australia

Company Website

vlabworks.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United States

Company Website

deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/

Categories and Features

Categories and Features

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