Summary of AIR-T: WHEN ARTIFICIAL INTELLIGENCE MEETS WITH RADIO – TRANSCEIVER
Deepwave Digital’s AIR-T combines software-defined radio with embedded deep-learning capabilities, enabling real-time processing of over 200 MHz bandwidths. It functions as a parallel SDR, data recorder, or inference engine, using an embedded GPU and zero-copy memory access to minimize GPU data-transfer overhead for RF applications.
Parts used in the AIR-T:
- Software-defined radio (SDR) platform
- Embedded GPU
- Zero copy memory access implementation
- Data recorder functionality
- Deep learning inference engine
- RF transceiver hardware
The concept of Software-defined radio is not new, it has been around for years. It is basically about moving complex signal handling over to a digital software platform via PCs and smart systems.
While we have seen Artificial Intelligence already been implemented in a host of applications like speech recognition, gaming and autonomous vehicles, we are yet to see it being adapted for software-defined radio or incorporated into an RF hardware solution. This is why Deepwave Digital, a hardware and software solutions provider, has taken it upon themselves to come up with a Software-defined Radio with deep-learning muscle, called AIR-T.
The concept of Software-defined radio is not new, it has been around for years. It is basically about moving complex signal handling over to a digital software platform via PCs and smart systems.
While we have seen Artificial Intelligence already been implemented in a host of applications like speech recognition, gaming and autonomous vehicles, we are yet to see it being adapted for software-defined radio or incorporated into an RF hardware solution. This is why Deepwave Digital, a hardware and software solutions provider, has taken it upon themselves to come up with a Software-defined Radio with deep-learning muscle, called AIR-T.
This versatile system can function as a highly parallel SDR, data recorder, or inference engine for deep learning algorithms. The embedded GPU allows for SDR applications to process bandwidths greater than 200 MHz in real-time.” says Deepwave. “The AIR-T also uses zero copy memory access to overcome the data transfer overhead typically associated with GPU processing.
Read more: AIR-T: WHEN ARTIFICIAL INTELLIGENCE MEETS WITH RADIO – TRANSCEIVER
- What is the AIR-T?
It is a software-defined radio with embedded deep-learning capabilities from Deepwave Digital. - Can AIR-T process real-time wide bandwidths?
Yes, it can process bandwidths greater than 200 MHz in real time. - How does AIR-T reduce GPU data transfer overhead?
It uses zero copy memory access to overcome typical GPU data transfer overhead. - What roles can AIR-T perform?
It can function as a highly parallel SDR, a data recorder, or an inference engine for deep learning algorithms. - Does AIR-T incorporate deep learning?
Yes, it incorporates deep-learning muscle via an embedded GPU for inference. - Who developed AIR-T?
Deepwave Digital developed the AIR-T.
