RF Intelligence

Deepwave Boosts F-16 Fleet Survivability with Enhanced Cognitive Sensing

Erik Hoffman
March 11, 2026   
CADS Solution Key Components.

Deepwave recently delivered Low-Rate Initial Production (LRIP) units of our AI edge platform for the Containerized Algorithm Deployment System (CADS). Aircraft gain real-time environment awareness capabilities by integrating Deepwave high-performance hardware and software into CADS. These capabilities were previously reserved for the most advanced airborne fleets. CADS equips electronic warfare (EW) systems with modern cognitive […]

AirStack Core 2.3.1 – AIR-T Performance Boosts and New Developer Features

Erik Hoffman
February 24, 2026   

Deepwave is pleased to announce the release of AirStack Core 2.3.1, the latest version of our RF AI edge operating system.  This version delivers hardware performance improvements and new developer-focused features.   Release Highlights AirStack Core is the operating system for Deepwave’s AIR-T hardware.  This software includes the runtime and application programming interfaces (APIs) to […]

AirStack Core 2.3: Delivering expanded RF channel coverage, AI analysis capabilities, and developer support.

Erik Hoffman
November 10, 2025   

Deepwave proudly announces AirStack Core 2.3, the latest operating system release for Deepwave’s AIR-T platform. Core 2.3 includes four-channel support and expanded FPGA development capabilities for the AIR-T.  Additionally, this release incorporates the latest production release of NVIDIA JetPack, enabling more efficient AI inference development, an improved developer workflow experience, and critical security upgrades.   […]

AirStack Core 2.2: Flexibility, Reliability, and Smoother AI Workflows at the Edge

Erik Hoffman
July 16, 2025   

Deepwave is excited to announce the latest release of AirStack Core, our RF Intelligence Operating System that powers real-time AI and software-defined radio (SDR) applications. The AirStack Core 2.2 release marks a major upgrade not only for AirStack Core, but also for the entire AI+RF development stack – thanks to full support of NVIDIA JetPack […]

RF Spectrum Intelligence on the Deepwave + DeepSig platform

Erik Hoffman
May 21, 2025   

An Epic Traffic Jam Monitoring and managing radio frequency (RF) usage is vital.  It allows the RF spectrum – a fixed resource – to be shared and optimized to support technology advances that deliver ever-faster wireless data speeds, increased network coverage, and support for advanced electromagnetic domain operations. To say modern RF spectrum monitoring is […]

AirStack Core 2.1 is Here!

Erik Hoffman
April 17, 2025   

Deepwave is very, very pleased to announce the release of AirStack Core 2.1. The Core 2.1 release includes a number of enhancements to help AIR-T super users break new ground in RF Intelligence – such as versatile sampling capabilities – as well as features that support the AIR-T’s ‘it just works’ user experience. This feature-packed […]

Brand Shift to Support Expanded Mission

John Ferguson
April 15, 2025   

We’re brimming with excitement about the launch of our updated brand, Deepwave – along with a new web portal, deepwave.ai. This brand shift supports our expanding mission focused on helping customers build the next generation of intelligent radio frequency (RF) systems. Where We’ve Been, Where We’re Going Deepwave’s founding team includes RF data, AI, and […]

Announcing the Launch of Three New RF + AI Edge Products from Deepwave Digital

Erik Hoffman
July 29, 2024   

Deepwave Digital’s new Radio Transceiver (AIR-T) products for Radio Frequency (RF) + AI intelligence, all powered by the latest NVIDIA Orin NX GPU module.

Radio-ASR Goes Open Source

John Ferguson
September 26, 2022   
Signal Input - Text Output

Deepwave Digital has open sourced our Radio Automatic Speech Recognition (Radio-ASR) project.

AirPack 0.3.0 Released with PyTorch Support

Megan Moscony
July 28, 2022   
AirPack 0.3.0

The Deepwave Digital team is happy to announce a new release of AirPak that adds deep learning source code using PyTorch.

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