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What is L3Harris Falcon Net Ecosystem?

The Falcon Net Ecosystem from L3Harris employs a sophisticated blend of networking technologies to deliver robust, dependable, and data-centric communication solutions, no matter how intricate the circumstances may be. The ability to make swift and precise tactical decisions is crucial. Essential components such as cutting-edge data intelligence, video intelligence, high-speed mobile ad hoc networks (MANET), and unwavering interoperability play a critical role in securing mission success. This forms the foundational ethos behind the technologies embedded within the Falcon Net Ecosystem. Supported by over sixty years of global tactical expertise, the system is committed to improving the safety and effectiveness of warfighters. Its software-defined methodology facilitates straightforward upgrades while safeguarding existing investments. With over 100,000 units in operational use worldwide, it solidifies our status as a leader in tactical communications. The integration of low probability of intercept (LPI) and low probability of detection (LPD) technologies greatly reduces vulnerabilities related to jamming, interception, and detection efforts. Furthermore, advancements in network design, deployment, and monitoring have significantly accelerated and refined these processes, ensuring reliable communication in diverse situations. As a result, the Falcon Net Ecosystem is not just an advanced communication tool, but a pivotal force reshaping the landscape of contemporary military operations. This transformative capability ensures that armed forces are better prepared to face emerging challenges in the field.

What is Falcon Mamba 7B?

The Falcon Mamba 7B represents a groundbreaking advancement as the first open-source State Space Language Model (SSLM), introducing an innovative architecture as part of the Falcon model series. Recognized as the leading open-source SSLM worldwide by Hugging Face, it sets a new benchmark for efficiency in the realm of artificial intelligence. Unlike traditional transformer models, SSLMs utilize considerably less memory and can generate extended text sequences smoothly without additional resource requirements. Falcon Mamba 7B surpasses other prominent transformer models, including Meta’s Llama 3.1 8B and Mistral’s 7B, showcasing superior performance and capabilities. This innovation underscores Abu Dhabi’s commitment to advancing AI research and solidifies the region's role as a key contributor in the global AI sector. Such technological progress is essential not only for driving innovation but also for enhancing collaborative efforts across various fields. Furthermore, it opens up new avenues for research and development that could greatly influence future AI applications.

Media

Media

Integrations Supported

C
C#
C++
CSS
Clojure
Elixir
F#
Falcon Chat
Go
HTML
JavaScript
Julia
Kotlin
PHP
R
Ruby
Rust
Scala
TypeScript
Visual Basic

Integrations Supported

C
C#
C++
CSS
Clojure
Elixir
F#
Falcon Chat
Go
HTML
JavaScript
Julia
Kotlin
PHP
R
Ruby
Rust
Scala
TypeScript
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

L3Harris

Company Location

United States

Company Website

www.l3harris.com/all-capabilities/falcon-net-ecosystem

Company Facts

Organization Name

Technology Innovation Institute (TII)

Date Founded

2019

Company Location

United Arab Emirates

Company Website

falconllm.tii.ae/falcon-models.html

Categories and Features

Categories and Features

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