Deepwave Digital Webinar March 25 2020 (Updated)

Deepwave Digital Webinar


The webinar on March 25, 2020 was a great success and we thank you for attending! The video stream, slides, and source code are now available to the general public.


You may download the slides here.


Video Stream


Source Code

Available in the new webinar section of our GitHub here.


Original Post

Amid all of the uncertainty in our work schedules, we think now is a great time to host a webinar on signal processing and deep learning with GPUs and the AIR-T. The Webinar will cover the items below but more importantly we will be demonstrating the usage of cuSignal on the AIR-T!

When: March 25th 2020 at 1pm EST

Register Here

Space is limited so make sure to register in advance. Read below for more information about the webinar and w e hope you will join us!

Deepwave Digital, Inc.


Webinar Agenda

Introduction to Deepwave Digital

We will introduce you to the Deepwave Digital team and provide an overview of what our startup does. We will also discuss the way we see deep learning being applied to systems and signals.

AirStack Programming API for the AIR-T

We will provide a detailed discussion on the application programming interface (API) for the AIR-T, AirStack. The figure below outlines the CPU, GPU, and deep learning interfaces supported.


Signal Processing Using the GPU on the AIR-T

Here we will discuss programming the embedded NVIDIA Jetson GPU that is part of the AIR-T using CUDA, pyCUDA, and GNU Radio.

cuSignal - NVIDIA's GPU Accelerated Signal Library

cuSignal is an open source GPU accelerated version of Scipy.Signal. The team at NVIDIA started the initiative a few months back and Deepwave has decided to jump on board and contribute. If you are not familiar with cuSignal, it is part of the large RAPIDS project at NVIDIA: the push to GPU accelerate data science libraries.

Read more about cuSignal here

Applications of Deep Learning

Finally we will close the webinar by discussing deep learning applications and how to leverage the AIR-T to acquire data and how to deploy trained neural networks on the AIR-T for inference.

When: March 25th 2020 at 1pm EST

Register Here for the Webinar