AIR-T: WHEN ARTIFICIAL INTELLIGENCE MEETS WITH RADIO – TRANSCEIVER

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

Quick Solutions to Questions related to AIR-T:

  • 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.

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