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 […]
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 […]
Rust, with its efficiency and support for emerging technologies like AI, has become a viable language for SDR application development.
Deepwave Digital has been granted an additional patent related to its GPU-based software defined radio (SDR) technology, the AIR-T.
This is a minor release that addresses filter reset logic and other performance fixes.
This is a minor release that brings multichannel synchronization to all sample rates when triggering the AIR-T.
The Deepwave Digital team is happy to announce the release of AirStack 0.5.5.
Deepwave Digital has open sourced our Radio Automatic Speech Recognition (Radio-ASR) project.
This GPU-based multi-channel FM demodulator is capable of simultaneously receiving 12 stations on the AIR-T Edge Series SDR.
Most Deepwave customers use Python to interact with our Artificial Intelligence Radio Transceiver but did you know Go is also supported?
